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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Statistics</h1><div class="u-tcGrayDark">712,017 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Statistics</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Statistics">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistics/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistics/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistics/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Statistics">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_206575" data-work_id="206575" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/206575/Migration_quantified_Constructing_models_and_linking_them_with_data">Migration quantified: Constructing models and linking them with data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_206575" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies. <br />##################################################### <br /> <br />Updates: <br />The book already sold out! 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Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies.\r\n#####################################################\r\n\r\nUpdates:\r\nThe book already sold out! 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37148405/Formelsammlung_Statistik">Formelsammlung – Statistik</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Formelsammlung für die Grundlagenvorlesung Statistik im berufsbegleitenden Bachelor-Studiengang BWL am Fachbereich Wirtschaftswissenschaften der HS Harz.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37148405" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="773e408600aa07f5c5fb66563080314b" rel="nofollow" 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class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">ABSTRACT In order to accelerate object evaluation, some measurement systems commonly use an ordinal scale (e.g., stick results, quality estimation). This paper presents a way to analyze ordinal data variation. As in classical ANOVA for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_19955698" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">ABSTRACT In order to accelerate object evaluation, some measurement systems commonly use an ordinal scale (e.g., stick results, quality estimation). This paper presents a way to analyze ordinal data variation. As in classical ANOVA for continual data, ORDANOVA for ordinal data splits the total variation into within and between components. This decomposition has various practical applications such as classification, cluster analysis, distinguishing feature identification and so on.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/19955698" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c3a0a798892c51a4e2115d7228876e9c" rel="nofollow" data-download="{"attachment_id":49835587,"asset_id":19955698,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49835587/download_file?st=MTczMjM5ODkzOSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="40823279" href="https://independent.academia.edu/EmilBashkansky">Emil Bashkansky</a><script data-card-contents-for-user="40823279" type="text/json">{"id":40823279,"first_name":"Emil","last_name":"Bashkansky","domain_name":"independent","page_name":"EmilBashkansky","display_name":"Emil Bashkansky","profile_url":"https://independent.academia.edu/EmilBashkansky?f_ri=892","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_19955698 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="19955698"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 19955698, container: ".js-paper-rank-work_19955698", }); });</script></li><li class="js-percentile-work_19955698 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19955698; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_19955698"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_19955698 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="19955698"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19955698; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19955698]").text(description); $(".js-view-count-work_19955698").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_19955698").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="19955698"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a><script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=19955698]'), work: {"id":19955698,"title":"ORDANOVA: Analysis of ordinal variation","created_at":"2016-01-02T00:48:01.359-08:00","url":"https://www.academia.edu/19955698/ORDANOVA_Analysis_of_ordinal_variation?f_ri=892","dom_id":"work_19955698","summary":"ABSTRACT In order to accelerate object evaluation, some measurement systems commonly use an ordinal scale (e.g., stick results, quality estimation). This paper presents a way to analyze ordinal data variation. As in classical ANOVA for continual data, ORDANOVA for ordinal data splits the total variation into within and between components. This decomposition has various practical applications such as classification, cluster analysis, distinguishing feature identification and so on.","downloadable_attachments":[{"id":49835587,"asset_id":19955698,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40823279,"first_name":"Emil","last_name":"Bashkansky","domain_name":"independent","page_name":"EmilBashkansky","display_name":"Emil Bashkansky","profile_url":"https://independent.academia.edu/EmilBashkansky?f_ri=892","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_33220216 coauthored" data-work_id="33220216" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/33220216/Quantitative_research_methods_for_social_work_Making_social_work_count">Quantitative research methods for social work: Making social work count</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/33220216" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c15011480d123df63e2f096793e095c5" rel="nofollow" data-download="{"attachment_id":53297365,"asset_id":33220216,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53297365/download_file?st=MTczMjM5ODkzOSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="327500" href="https://csi-cuny.academia.edu/BarbraTeater">Barbra Teater</a><script data-card-contents-for-user="327500" type="text/json">{"id":327500,"first_name":"Barbra","last_name":"Teater","domain_name":"csi-cuny","page_name":"BarbraTeater","display_name":"Barbra Teater","profile_url":"https://csi-cuny.academia.edu/BarbraTeater?f_ri=892","photo":"https://0.academia-photos.com/327500/312286/53923471/s65_barbra.teater.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-33220216">+1</span><div class="hidden js-additional-users-33220216"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://qub.academia.edu/JohnDevaney">John Devaney</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-33220216'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-33220216').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_33220216 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="33220216"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 33220216, container: ".js-paper-rank-work_33220216", }); });</script></li><li class="js-percentile-work_33220216 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33220216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_33220216"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_33220216 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="33220216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33220216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33220216]").text(description); $(".js-view-count-work_33220216").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_33220216").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="33220216"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="940" href="https://www.academia.edu/Documents/in/Social_Work">Social Work</a>, <script data-card-contents-for-ri="940" type="text/json">{"id":940,"name":"Social Work","url":"https://www.academia.edu/Documents/in/Social_Work?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="12620" href="https://www.academia.edu/Documents/in/Quantitative_Methods">Quantitative Methods</a><script data-card-contents-for-ri="12620" type="text/json">{"id":12620,"name":"Quantitative Methods","url":"https://www.academia.edu/Documents/in/Quantitative_Methods?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=33220216]'), work: {"id":33220216,"title":"Quantitative research methods for social work: Making social work count","created_at":"2017-05-27T08:42:48.599-07:00","url":"https://www.academia.edu/33220216/Quantitative_research_methods_for_social_work_Making_social_work_count?f_ri=892","dom_id":"work_33220216","summary":null,"downloadable_attachments":[{"id":53297365,"asset_id":33220216,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":327500,"first_name":"Barbra","last_name":"Teater","domain_name":"csi-cuny","page_name":"BarbraTeater","display_name":"Barbra Teater","profile_url":"https://csi-cuny.academia.edu/BarbraTeater?f_ri=892","photo":"https://0.academia-photos.com/327500/312286/53923471/s65_barbra.teater.png"},{"id":84140,"first_name":"John","last_name":"Devaney","domain_name":"qub","page_name":"JohnDevaney","display_name":"John Devaney","profile_url":"https://qub.academia.edu/JohnDevaney?f_ri=892","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":940,"name":"Social Work","url":"https://www.academia.edu/Documents/in/Social_Work?f_ri=892","nofollow":false},{"id":12620,"name":"Quantitative Methods","url":"https://www.academia.edu/Documents/in/Quantitative_Methods?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_76934178" data-work_id="76934178" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/76934178/Expert_system_and_statistics">Expert system and statistics</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76934178" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="18c3780b143baf507d0e651c3104643f" rel="nofollow" data-download="{"attachment_id":84478819,"asset_id":76934178,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84478819/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34100004" href="https://independent.academia.edu/DaveChandler">David Hand</a><script data-card-contents-for-user="34100004" type="text/json">{"id":34100004,"first_name":"David","last_name":"Hand","domain_name":"independent","page_name":"DaveChandler","display_name":"David Hand","profile_url":"https://independent.academia.edu/DaveChandler?f_ri=892","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_76934178 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="76934178"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 76934178, container: ".js-paper-rank-work_76934178", }); });</script></li><li class="js-percentile-work_76934178 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76934178; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_76934178"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_76934178 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="76934178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76934178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76934178]").text(description); $(".js-view-count-work_76934178").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_76934178").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="76934178"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4060" href="https://www.academia.edu/Documents/in/Applied_Statistics">Applied Statistics</a>, <script data-card-contents-for-ri="4060" type="text/json">{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="121337" href="https://www.academia.edu/Documents/in/expert_System">expert System</a><script data-card-contents-for-ri="121337" type="text/json">{"id":121337,"name":"expert System","url":"https://www.academia.edu/Documents/in/expert_System?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=76934178]'), work: {"id":76934178,"title":"Expert system and statistics","created_at":"2022-04-19T03:26:46.847-07:00","url":"https://www.academia.edu/76934178/Expert_system_and_statistics?f_ri=892","dom_id":"work_76934178","summary":null,"downloadable_attachments":[{"id":84478819,"asset_id":76934178,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34100004,"first_name":"David","last_name":"Hand","domain_name":"independent","page_name":"DaveChandler","display_name":"David Hand","profile_url":"https://independent.academia.edu/DaveChandler?f_ri=892","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=892","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=892","nofollow":false},{"id":121337,"name":"expert System","url":"https://www.academia.edu/Documents/in/expert_System?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_45246344" data-work_id="45246344" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/45246344/Cultural_indicators_in_Abu_Dhabi_theoretic_framework_and_challenges_for_their_building">Cultural indicators in Abu Dhabi: theoretic framework and challenges for their building</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Evidence-based decision-making in Abu Dhabi cultural sector is increasingly being influenced by the development of data generation from a coordinated statistical system. The Department of Culture and Tourism Abu Dhabi has increased its... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45246344" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Evidence-based decision-making in Abu Dhabi cultural sector is increasingly being influenced by the development of data generation from a coordinated statistical system. The Department of Culture and Tourism Abu Dhabi has increased its support of this focus by funding new research instruments, including CultureSTATS-AD project. One of the meth-odological challenges of CultureSTATS-AD project consists in articulation of the locally anchored and the internationally comparable dimensions of the evolving culture statistics system. The present paper addresses this methodological challenge by adopting a pragmatic approach to Abu Dhabi culture vocabulary. The practical usages of culture definitions by policymakers, academics and culture professionals replicate a myriad of underlying social processes. We suggest a transversal contextual analysis of Abu Dhabi culture documentation in order to understand in what conceptual, legal and social contexts each of the currently used culture definitions is inserted. Next, we propose to develop the culture indicators that emphasize these contexts. Finally, the paper offers methodological approaches to selection, definition and data population of culture indicators in Abu Dhabi. Even though our approach does not pretend to be exhaustive, it allows identifying the first linchpins of culture indicator building in Abu Dhabi and permits further alignment with the international standards.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45246344" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="84aaea4d513b224b03dca0302fe0af59" rel="nofollow" data-download="{"attachment_id":65815846,"asset_id":45246344,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65815846/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="36145086" href="https://independent.academia.edu/ElenaRaevskikh">Elena Raevskikh</a><script data-card-contents-for-user="36145086" type="text/json">{"id":36145086,"first_name":"Elena","last_name":"Raevskikh","domain_name":"independent","page_name":"ElenaRaevskikh","display_name":"Elena Raevskikh","profile_url":"https://independent.academia.edu/ElenaRaevskikh?f_ri=892","photo":"https://0.academia-photos.com/36145086/15523643/161579032/s65_elena.raevskikh.jpeg"}</script></span></span></li><li class="js-paper-rank-work_45246344 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45246344"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45246344, container: ".js-paper-rank-work_45246344", }); 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href="https://www.academia.edu/44628801/M%C3%A9thodes_statistiques_en_sciences_humaines_Avec_des_illustrations_tir%C3%A9es_du_logiciel_SPSS_2e_%C3%A9dition">Méthodes statistiques en sciences humaines. Avec des illustrations tirées du logiciel SPSS. 2e édition</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Cette deuxième édition de Méthodes statistiques en sciences humaines a été produite dans le même esprit que la première. L’intention est à nouveau de présenter les outils statistiques dans une logique méthodologique et pratique, en les... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44628801" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Cette deuxième édition de Méthodes statistiques en sciences humaines a été produite dans le même esprit que la première. L’intention est à nouveau de présenter les outils statistiques dans une logique méthodologique et pratique, en les décrivant, en indiquant comment les utiliser avec le logiciel SPSS, en montrant comment interpréter les résultats que livre le logiciel et en proposant un exemple de la manière de rapporter ces résultats.<br />    Par rapport à la première, la principale différence de cette nouvelle édition est celle du recours à la version 26 du logiciel SPSS, ce qui modifie la manière dont les résultats sont disposés quand on compare avec les versions qui précèdent la 24e, la première édition ayant été développée avec une telle version du logiciel.<br />    Outre cet ajustement important, plusieurs corrections ont été apportées : des formules ont été révisées, des erreurs typographiques ont été supprimées, des descriptions ont été ajustées.<br />    Nous avons aussi augmenté le contenu. Pour le log-linéaire, par exemple, nous avons ajouté une illustration avec des variables qui comptent plus de deux modalités ; pour l’analyse de variance, nous avons discuté des conséquences d’un test de Levene qui s’avère significatif ; dans le cas des tests non paramétriques sur la comparaison, nous avons juxtaposé la façon traditionnelle de faire avec celle qu’offre en parallèle le logiciel, car ce que propose désormais SPSS sur ce plan mérite l’attention.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44628801" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c5af3846050c10ba96d76e07fd82cedc" rel="nofollow" data-download="{"attachment_id":65098450,"asset_id":44628801,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65098450/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="94556868" href="https://laurentian.academia.edu/SimonLaflamme">Simon Laflamme</a><script data-card-contents-for-user="94556868" type="text/json">{"id":94556868,"first_name":"Simon","last_name":"Laflamme","domain_name":"laurentian","page_name":"SimonLaflamme","display_name":"Simon Laflamme","profile_url":"https://laurentian.academia.edu/SimonLaflamme?f_ri=892","photo":"https://0.academia-photos.com/94556868/24808493/34223467/s65_simon.laflamme.jpg"}</script></span></span></li><li class="js-paper-rank-work_44628801 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44628801"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44628801, container: ".js-paper-rank-work_44628801", }); 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Avec des illustrations tirées du logiciel SPSS. 2e édition","created_at":"2020-12-03T09:36:58.686-08:00","url":"https://www.academia.edu/44628801/M%C3%A9thodes_statistiques_en_sciences_humaines_Avec_des_illustrations_tir%C3%A9es_du_logiciel_SPSS_2e_%C3%A9dition?f_ri=892","dom_id":"work_44628801","summary":"Cette deuxième édition de Méthodes statistiques en sciences humaines a été produite dans le même esprit que la première. L’intention est à nouveau de présenter les outils statistiques dans une logique méthodologique et pratique, en les décrivant, en indiquant comment les utiliser avec le logiciel SPSS, en montrant comment interpréter les résultats que livre le logiciel et en proposant un exemple de la manière de rapporter ces résultats.\n Par rapport à la première, la principale différence de cette nouvelle édition est celle du recours à la version 26 du logiciel SPSS, ce qui modifie la manière dont les résultats sont disposés quand on compare avec les versions qui précèdent la 24e, la première édition ayant été développée avec une telle version du logiciel.\n Outre cet ajustement important, plusieurs corrections ont été apportées : des formules ont été révisées, des erreurs typographiques ont été supprimées, des descriptions ont été ajustées.\n Nous avons aussi augmenté le contenu. Pour le log-linéaire, par exemple, nous avons ajouté une illustration avec des variables qui comptent plus de deux modalités ; pour l’analyse de variance, nous avons discuté des conséquences d’un test de Levene qui s’avère significatif ; dans le cas des tests non paramétriques sur la comparaison, nous avons juxtaposé la façon traditionnelle de faire avec celle qu’offre en parallèle le logiciel, car ce que propose désormais SPSS sur ce plan mérite l’attention.","downloadable_attachments":[{"id":65098450,"asset_id":44628801,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":94556868,"first_name":"Simon","last_name":"Laflamme","domain_name":"laurentian","page_name":"SimonLaflamme","display_name":"Simon Laflamme","profile_url":"https://laurentian.academia.edu/SimonLaflamme?f_ri=892","photo":"https://0.academia-photos.com/94556868/24808493/34223467/s65_simon.laflamme.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":2065,"name":"Research Methodology","url":"https://www.academia.edu/Documents/in/Research_Methodology?f_ri=892","nofollow":false},{"id":12620,"name":"Quantitative Methods","url":"https://www.academia.edu/Documents/in/Quantitative_Methods?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_11044470 coauthored" data-work_id="11044470" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/11044470/Using_power_analysis_to_estimate_appropriate_sample_size">Using power analysis to estimate appropriate sample size</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The main aim of this paper is to provide some practical guidance to researchers on how statistical power analysis can be used to estimate sample size in empirical design. The paper describes the key assumptions underlying statistical... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_11044470" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The main aim of this paper is to provide some practical guidance to researchers on how statistical power analysis can be used to estimate sample size in empirical design. The paper describes the key assumptions underlying statistical power analysis and illustrates through several examples how to determine the appropriate sample size. The examples use hypotheses often tested in sport sciences and verified with popular statistical tests including the independent-samples t-test, one-way and twoway analysis of variance (ANOVA), correlation analysis, and regression analysis. Commonly used  statistical packages allow researchers to determine appropriate sample size for hypothesis testing situations listed above.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/11044470" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0065a10b69528900508ca89e8dcc9892" rel="nofollow" data-download="{"attachment_id":36753916,"asset_id":11044470,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/36753916/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26019681" href="https://independent.academia.edu/TomczakMaciej">Maciej Tomczak</a><script data-card-contents-for-user="26019681" type="text/json">{"id":26019681,"first_name":"Maciej","last_name":"Tomczak","domain_name":"independent","page_name":"TomczakMaciej","display_name":"Maciej Tomczak","profile_url":"https://independent.academia.edu/TomczakMaciej?f_ri=892","photo":"https://0.academia-photos.com/26019681/167923722/157881580/s65_maciej.tomczak.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-11044470">+2</span><div class="hidden js-additional-users-11044470"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://amu.academia.edu/EwaTomczak">Ewa Tomczak</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://one.academia.edu/RobertLew">Robert Lew</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-11044470'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-11044470').html(); 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The paper describes the key assumptions underlying statistical power analysis and illustrates through several examples how to determine the appropriate sample size. The examples use hypotheses often tested in sport sciences and verified with popular statistical tests including the independent-samples t-test, one-way and twoway analysis of variance (ANOVA), correlation analysis, and regression analysis. 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Má ambíciu stať sa akýmsi sprievodcom všetkými krokmi od... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34671376" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Cieľom predkladanej publikácie je napomôcť začínajúcim výskumníkom  v oblasti sociálneho výskumu zvládnuť náročný proces kvantitatívneho výskumu za použitia vlastného dotazníka. Má ambíciu stať sa akýmsi sprievodcom všetkými krokmi od úplného začiatku v prípravnej etape – voľby výskumnej témy, štúdia literatúry a dostupných zdrojov, konceptualizácie výskumného problému, tvorby projektu výskumu a jeho jednotlivých častí. Ďalej nasleduje operacionalizácia a v rámci nej rozklad sociálneho javu na premenné, formulácia výskumných otázok a hypotéz. Prvá časť publikácie je venovaná takisto popisu ďalších etáp výskumného procesu – výber výskumnej vzorky a samotná tvorba dotazníka.<br />Druhá časť publikácie je zameraná na prácu so štatistickým programom SPSS, ktorý je nápomocný pri spracovaní získaných dát. Hoci samotný program je užívateľsky príjemný, pre začínajúceho výskumníka môže byť veľmi užitočná akási názorná príručka na jeho používanie, o čo sme sa snažili. V častiach so štatistickými operáciami nebolo v žiadnom prípade našou ambíciou venovať sa štatistike do hĺbky – na to slúžia iné odborné zdroje. Našou ambíciou bolo, aby výskumník vedel v uvedenom programe dáta vložiť, posúdiť psychometrické vlastnosti  dotazníka, realizovať deskriptívnu analýzu a niektoré operácie v rámci induktívnej štatistiky (komparácia súborov, korelačná analýza, faktorová analýza, regresná analýza). V závere publikácie je uvedených niekoľko rád pri práci s programom SPSS, ktoré by mohli výskumníkovi prácu uľahčiť.        <br />Dúfame, že vyššie popísané ambície budú dosiahnuté a naša publikácia bude začínajúcemu výskumníkovi nápomocná.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34671376" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7fa7c093b923e9a17d01038fa56c4afd" rel="nofollow" data-download="{"attachment_id":54530902,"asset_id":34671376,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54530902/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3585844" href="https://independent.academia.edu/KatkaKoh%C3%BAtov%C3%A1">Katarína Kohútová</a><script data-card-contents-for-user="3585844" type="text/json">{"id":3585844,"first_name":"Katarína","last_name":"Kohútová","domain_name":"independent","page_name":"KatkaKohútová","display_name":"Katarína Kohútová","profile_url":"https://independent.academia.edu/KatkaKoh%C3%BAtov%C3%A1?f_ri=892","photo":"https://0.academia-photos.com/3585844/1246937/11416361/s65_katka.koh_tov_.jpg"}</script></span></span></li><li class="js-paper-rank-work_34671376 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="34671376"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 34671376, container: ".js-paper-rank-work_34671376", }); 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Má ambíciu stať sa akýmsi sprievodcom všetkými krokmi od úplného začiatku v prípravnej etape – voľby výskumnej témy, štúdia literatúry a dostupných zdrojov, konceptualizácie výskumného problému, tvorby projektu výskumu a jeho jednotlivých častí. Ďalej nasleduje operacionalizácia a v rámci nej rozklad sociálneho javu na premenné, formulácia výskumných otázok a hypotéz. Prvá časť publikácie je venovaná takisto popisu ďalších etáp výskumného procesu – výber výskumnej vzorky a samotná tvorba dotazníka.\nDruhá časť publikácie je zameraná na prácu so štatistickým programom SPSS, ktorý je nápomocný pri spracovaní získaných dát. Hoci samotný program je užívateľsky príjemný, pre začínajúceho výskumníka môže byť veľmi užitočná akási názorná príručka na jeho používanie, o čo sme sa snažili. V častiach so štatistickými operáciami nebolo v žiadnom prípade našou ambíciou venovať sa štatistike do hĺbky – na to slúžia iné odborné zdroje. Našou ambíciou bolo, aby výskumník vedel v uvedenom programe dáta vložiť, posúdiť psychometrické vlastnosti dotazníka, realizovať deskriptívnu analýzu a niektoré operácie v rámci induktívnej štatistiky (komparácia súborov, korelačná analýza, faktorová analýza, regresná analýza). V závere publikácie je uvedených niekoľko rád pri práci s programom SPSS, ktoré by mohli výskumníkovi prácu uľahčiť. \nDúfame, že vyššie popísané ambície budú dosiahnuté a naša publikácia bude začínajúcemu výskumníkovi nápomocná.","downloadable_attachments":[{"id":54530902,"asset_id":34671376,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3585844,"first_name":"Katarína","last_name":"Kohútová","domain_name":"independent","page_name":"KatkaKohútová","display_name":"Katarína Kohútová","profile_url":"https://independent.academia.edu/KatkaKoh%C3%BAtov%C3%A1?f_ri=892","photo":"https://0.academia-photos.com/3585844/1246937/11416361/s65_katka.koh_tov_.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":11847,"name":"Quantitative 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statistics education</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/50213759" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2386427f2dcab43ecdebd7678d0537e7" rel="nofollow" data-download="{"attachment_id":68283805,"asset_id":50213759,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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Eugene et al. (2002) introduced the beta-generated family of distributions. By following the same logic, (Jones 2009) and Cordeiro and de Castro... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_41572491" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the last few years, several generators have been proposed to generate new distributions. Eugene et al. (2002) introduced the beta-generated family of distributions. By following the same logic, (Jones 2009) and Cordeiro and de Castro (2011) introduced the Kumaraswamy-generalized family of distributions. These two families have been extensively used to generate new distributions. 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The main purpose of this study is to collect and record all existing distributions that clearly belong to the families of beta-generated ‎and Kumaraswamy-generalized distributions.","downloadable_attachments":[{"id":61728935,"asset_id":41572491,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6996034,"first_name":"Mahmoud","last_name":"Selim Alsanea","domain_name":"al-azhar","page_name":"MahmoudAliSelim","display_name":"Mahmoud Selim Alsanea","profile_url":"https://al-azhar.academia.edu/MahmoudAliSelim?f_ri=892","photo":"https://0.academia-photos.com/6996034/2658781/3095256/s65_mahmoud.selim.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=892","nofollow":false},{"id":44293,"name":"Literature Review","url":"https://www.academia.edu/Documents/in/Literature_Review?f_ri=892","nofollow":false},{"id":56056,"name":"Distribution Theory","url":"https://www.academia.edu/Documents/in/Distribution_Theory?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40618468" data-work_id="40618468" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40618468/NEW_CAMBRIDGE_STATISTICAL_TABLES">NEW CAMBRIDGE STATISTICAL TABLES</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40618468" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="badfe91d2c4e47db2a17a24fc25e15c6" rel="nofollow" data-download="{"attachment_id":60897521,"asset_id":40618468,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60897521/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="129522690" href="https://lse.academia.edu/JonathanWachob">Jonathan Wachob</a><script data-card-contents-for-user="129522690" type="text/json">{"id":129522690,"first_name":"Jonathan","last_name":"Wachob","domain_name":"lse","page_name":"JonathanWachob","display_name":"Jonathan Wachob","profile_url":"https://lse.academia.edu/JonathanWachob?f_ri=892","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_40618468 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40618468"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40618468, container: ".js-paper-rank-work_40618468", }); 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A sua <br />importância não está apenas na divulgação de dados estatísticos sobre a segurança <br />pública no município, mas na transformação desses dados estatísticos brutos em algo <br />que possa servir para orientar ações futuras.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6239663" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5e9603ec4985136941cd94f5879b800d" rel="nofollow" data-download="{"attachment_id":33102105,"asset_id":6239663,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33102105/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9590228" href="https://uesc.academia.edu/AlanAzevedo">Alan Azevedo</a><script data-card-contents-for-user="9590228" type="text/json">{"id":9590228,"first_name":"Alan","last_name":"Azevedo","domain_name":"uesc","page_name":"AlanAzevedo","display_name":"Alan Azevedo","profile_url":"https://uesc.academia.edu/AlanAzevedo?f_ri=892","photo":"https://0.academia-photos.com/9590228/3027168/27975291/s65_alan.azevedo.png"}</script></span></span></li><li class="js-paper-rank-work_6239663 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6239663"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6239663, container: ".js-paper-rank-work_6239663", }); 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itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/832246/Corporate_social_responsibility_communication_stakeholder_information_response_and_involvement_strategies">Corporate social responsibility communication: stakeholder information, response and involvement strategies</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/832246" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li 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This work describes a methodology to model the spatial... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36657725" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The increasing wind power generation requires the updating of the computational tools that support decision making in the operation and planning of electric power systems. This work describes a methodology to model the spatial correlations among wind speeds probability distributions in probabilistic power flow. The proposed methodology is based on Nataf transformation and Monte Carlo Simulation. The proposed methodology is illustrated in case studies with the IEEE 24 bus test system, highlighting the importance of adequately considering such correlations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36657725" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dee09f6567546254812e8a2967c3de6d" rel="nofollow" data-download="{"attachment_id":56591089,"asset_id":36657725,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/56591089/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1957474" href="https://uerj.academia.edu/Jos%C3%A9Pessanha">José Francisco Pessanha</a><script data-card-contents-for-user="1957474" type="text/json">{"id":1957474,"first_name":"José Francisco","last_name":"Pessanha","domain_name":"uerj","page_name":"JoséPessanha","display_name":"José Francisco Pessanha","profile_url":"https://uerj.academia.edu/Jos%C3%A9Pessanha?f_ri=892","photo":"https://0.academia-photos.com/1957474/2757869/14606900/s65_jos_francisco.pessanha.jpg"}</script></span></span></li><li class="js-paper-rank-work_36657725 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36657725"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36657725, container: ".js-paper-rank-work_36657725", }); 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The proposed methodology is illustrated in case studies with the IEEE 24 bus test system, highlighting the importance of adequately considering such correlations.","downloadable_attachments":[{"id":56591089,"asset_id":36657725,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1957474,"first_name":"José Francisco","last_name":"Pessanha","domain_name":"uerj","page_name":"JoséPessanha","display_name":"José Francisco Pessanha","profile_url":"https://uerj.academia.edu/Jos%C3%A9Pessanha?f_ri=892","photo":"https://0.academia-photos.com/1957474/2757869/14606900/s65_jos_francisco.pessanha.jpg"}],"research_interests":[{"id":49,"name":"Electrical Engineering","url":"https://www.academia.edu/Documents/in/Electrical_Engineering?f_ri=892","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":1352,"name":"Multivariate 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u-fw300 u-lineHeight1_5 u-tcGrayDarkest">CONTROL ESTADISTICO DE CALIDAD</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/25902033" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8f1376e15d63c5eedbe391ea8086e1a7" rel="nofollow" data-download="{"attachment_id":46266419,"asset_id":25902033,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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work_4180586" data-work_id="4180586" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4180586/Race_Ethnicity_and_Whiteness">Race, Ethnicity, and Whiteness</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4180586" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c40d24b6ae6816e06460bc61d300f7a5" rel="nofollow" data-download="{"attachment_id":38704111,"asset_id":4180586,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/38704111/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5057175" href="https://adelphi.academia.edu/MelanieBush">Melanie Bush</a><script data-card-contents-for-user="5057175" 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{ var workId = 4180586; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_4180586"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_4180586 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="4180586"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4180586; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=4180586]").text(description); $(".js-view-count-work_4180586").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4180586").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4180586"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a><script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4180586]'), work: {"id":4180586,"title":"Race, Ethnicity, and Whiteness","created_at":"2013-08-05T23:31:55.353-07:00","url":"https://www.academia.edu/4180586/Race_Ethnicity_and_Whiteness?f_ri=892","dom_id":"work_4180586","summary":null,"downloadable_attachments":[{"id":38704111,"asset_id":4180586,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5057175,"first_name":"Melanie","last_name":"Bush","domain_name":"adelphi","page_name":"MelanieBush","display_name":"Melanie Bush","profile_url":"https://adelphi.academia.edu/MelanieBush?f_ri=892","photo":"https://0.academia-photos.com/5057175/2204470/2582348/s65_melanie.bush.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10618805 coauthored" data-work_id="10618805" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10618805/The_need_to_report_effect_size_estimates_revisited_An_overview_of_some_recommended_measures_of_effect_size">The need to report effect size estimates revisited. An overview of some recommended measures of effect size</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Recent years have witnessed a growing number of published reports that point out the need for reporting various effect size estimates in the context of null hypothesis testing (H0) as a response to a tendency for reporting tests of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10618805" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recent years have witnessed a growing number of published reports that point out the need for reporting various effect size estimates in the context of null hypothesis testing (H0) as a response to a tendency for reporting tests of statistical significance only, with less attention on other important aspects of statistical analysis. In the face of considerable changes over the past several years, neglect to report effect size estimates may be noted in such fields as medical science, psychology, applied linguistics, or pedagogy. Nor have sport sciences managed to totally escape the grips of this suboptimal practice: here statistical analyses in even some of the current research reports do not go much further than computing p-values. The p-value, however, is not meant to provide information on the actual strength of the relationship between variables, and does not allow the researcher to determine the effect of one variable on another. Effect size measures serve this purpose well. While the number of reports containing statistical estimates of effect sizes calculated after applying parametric tests is steadily increasing, reporting effect sizes with non-parametric tests is still very rare. Hence, the main objectives of this contribution are to promote various effect size measures in sport sciences through, once again, bringing to the readers’ attention the benefits of reporting them, and to present examples of such estimates with a greater focus on those that can be calculated for non-parametric tests.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10618805" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b58f11953ce863a1852e18a460897e62" rel="nofollow" data-download="{"attachment_id":36562310,"asset_id":10618805,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/36562310/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26019681" href="https://independent.academia.edu/TomczakMaciej">Maciej Tomczak</a><script data-card-contents-for-user="26019681" type="text/json">{"id":26019681,"first_name":"Maciej","last_name":"Tomczak","domain_name":"independent","page_name":"TomczakMaciej","display_name":"Maciej Tomczak","profile_url":"https://independent.academia.edu/TomczakMaciej?f_ri=892","photo":"https://0.academia-photos.com/26019681/167923722/157881580/s65_maciej.tomczak.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-10618805">+1</span><div class="hidden js-additional-users-10618805"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://amu.academia.edu/EwaTomczak">Ewa Tomczak</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-10618805'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-10618805').html(); 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Nor have sport sciences managed to totally escape the grips of this suboptimal practice: here statistical analyses in even some of the current research reports do not go much further than computing p-values. The p-value, however, is not meant to provide information on the actual strength of the relationship between variables, and does not allow the researcher to determine the effect of one variable on another. Effect size measures serve this purpose well. While the number of reports containing statistical estimates of effect sizes calculated after applying parametric tests is steadily increasing, reporting effect sizes with non-parametric tests is still very rare. Hence, the main objectives of this contribution are to promote various effect size measures in sport sciences through, once again, bringing to the readers’ attention the benefits of reporting them, and to present examples of such estimates with a greater focus on those that can be calculated for non-parametric tests.","downloadable_attachments":[{"id":36562310,"asset_id":10618805,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26019681,"first_name":"Maciej","last_name":"Tomczak","domain_name":"independent","page_name":"TomczakMaciej","display_name":"Maciej Tomczak","profile_url":"https://independent.academia.edu/TomczakMaciej?f_ri=892","photo":"https://0.academia-photos.com/26019681/167923722/157881580/s65_maciej.tomczak.png"},{"id":25964661,"first_name":"Ewa","last_name":"Tomczak","domain_name":"amu","page_name":"EwaTomczak","display_name":"Ewa 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Tests","url":"https://www.academia.edu/Documents/in/Parametric_and_Non_Parametric_Tests?f_ri=892"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26809768 coauthored" data-work_id="26809768" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26809768/Rfast_reference_manual">Rfast reference manual</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">A collection of fast and very fast R functions written in R or C++.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26809768" 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class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="71523" href="https://crete.academia.edu/%CE%9C%CE%B9%CF%87%CE%B1%CE%AE%CE%BB%CE%A4%CF%83%CE%B1%CE%B3%CF%81%CE%AE%CF%82">Μιχαήλ Τσαγρής</a><script data-card-contents-for-user="71523" type="text/json">{"id":71523,"first_name":"Μιχαήλ","last_name":"Τσαγρής","domain_name":"crete","page_name":"ΜιχαήλΤσαγρής","display_name":"Μιχαήλ Τσαγρής","profile_url":"https://crete.academia.edu/%CE%9C%CE%B9%CF%87%CE%B1%CE%AE%CE%BB%CE%A4%CF%83%CE%B1%CE%B3%CF%81%CE%AE%CF%82?f_ri=892","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-26809768">+1</span><div class="hidden js-additional-users-26809768"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://crete.academia.edu/IoannisTsamardinos">Ioannis Tsamardinos</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-26809768'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-26809768').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_26809768 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26809768"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26809768, container: ".js-paper-rank-work_26809768", }); });</script></li><li class="js-percentile-work_26809768 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: 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$(".js-view-count-work_26809768").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_26809768").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="26809768"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">54</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="305" href="https://www.academia.edu/Documents/in/Applied_Mathematics">Applied Mathematics</a>, <script data-card-contents-for-ri="305" type="text/json">{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1352" href="https://www.academia.edu/Documents/in/Multivariate_Statistics">Multivariate Statistics</a><script data-card-contents-for-ri="1352" type="text/json">{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: 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class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In probabilistic slope stability analysis, the influence of cross correlation of the soil strength parameters, cohesion and internal friction angle, on the reliability index has not been investigated fully. In this paper, an expedient... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10170785" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In probabilistic slope stability analysis, the influence of cross correlation of the soil strength parameters, cohesion and internal friction angle, on the reliability index has not been investigated fully. In this paper, an expedient technique is presented for probabilistic slope stability analysis that involves sampling a series of combinations of soil strength parameters through a copula as input to an existing conventional deterministic slope stability program. The approach organises the individual marginal probability density distributions of componential shear strength as a bivariate joint distribution by the copula function to characterise the dependence between shear strengths. The technique can be used to generate an arbitrarily large sample of soil strength parameters. Examples are provided to illustrate the use of the copula-based sampling method to estimate the reliability index of given slopes, and the computed results are compared with the first-order reliability method, considering the correlated random variables. A sensitivity study was conducted to assess the influence of correlational measurements on the reliability index. The approach is simple and can be applied in practice with little effort beyond what is necessary in a conventional analysis.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10170785" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4fc4d861543b0e47c21ef72dbe3ddc13" rel="nofollow" data-download="{"attachment_id":36274356,"asset_id":10170785,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/36274356/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="24841572" href="https://independent.academia.edu/xingzhengwu">xing zheng wu</a><script data-card-contents-for-user="24841572" type="text/json">{"id":24841572,"first_name":"xing zheng","last_name":"wu","domain_name":"independent","page_name":"xingzhengwu","display_name":"xing zheng wu","profile_url":"https://independent.academia.edu/xingzhengwu?f_ri=892","photo":"https://0.academia-photos.com/24841572/10095342/11263418/s65_xing_zheng.wu.jpeg"}</script></span></span></li><li class="js-paper-rank-work_10170785 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10170785"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10170785, container: ".js-paper-rank-work_10170785", }); });</script></li><li class="js-percentile-work_10170785 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 10170785; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_10170785"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_10170785 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="10170785"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 10170785; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=10170785]").text(description); $(".js-view-count-work_10170785").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_10170785").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="10170785"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a><script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=10170785]'), work: {"id":10170785,"title":"Probabilistic slope stability analysis by a copula-based sampling method","created_at":"2015-01-14T19:52:49.950-08:00","url":"https://www.academia.edu/10170785/Probabilistic_slope_stability_analysis_by_a_copula_based_sampling_method?f_ri=892","dom_id":"work_10170785","summary":"In probabilistic slope stability analysis, the influence of cross correlation of the soil strength parameters, cohesion and internal friction angle, on the reliability index has not been investigated fully. 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- TUTON Pengantar Statistik Sosial (ISIP4215)","created_at":"2017-09-08T21:08:09.175-07:00","url":"https://www.academia.edu/34517970/TUGAS_1_TUTON_Pengantar_Statistik_Sosial_ISIP4215_?f_ri=892","dom_id":"work_34517970","summary":null,"downloadable_attachments":[{"id":54383096,"asset_id":34517970,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10031965,"first_name":"Triyosi","last_name":"Girinda Puri","domain_name":"open","page_name":"TriyosiGirindaPuri","display_name":"Triyosi Girinda Puri","profile_url":"https://open.academia.edu/TriyosiGirindaPuri?f_ri=892","photo":"https://0.academia-photos.com/10031965/10429107/20062067/s65_triyosi.puri.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":3136,"name":"Qualitative methodology","url":"https://www.academia.edu/Documents/in/Qualitative_methodology?f_ri=892","nofollow":false},{"id":4060,"name":"Applied 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class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="23303586" href="https://uesiglo21.academia.edu/FroylanEduardoCuellar">Froylan Eduardo Cuellar</a><script data-card-contents-for-user="23303586" type="text/json">{"id":23303586,"first_name":"Froylan","last_name":"Eduardo Cuellar","domain_name":"uesiglo21","page_name":"FroylanEduardoCuellar","display_name":"Froylan Eduardo Cuellar","profile_url":"https://uesiglo21.academia.edu/FroylanEduardoCuellar?f_ri=892","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_9717637 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9717637"><i class="u-m1x fa fa-bar-chart"></i><strong 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type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9717637]'), work: {"id":9717637,"title":"solucionario probabilidad y estadistica walpole","created_at":"2014-12-10T18:54:46.817-08:00","url":"https://www.academia.edu/9717637/solucionario_probabilidad_y_estadistica_walpole?f_ri=892","dom_id":"work_9717637","summary":null,"downloadable_attachments":[{"id":35905102,"asset_id":9717637,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":23303586,"first_name":"Froylan","last_name":"Eduardo Cuellar","domain_name":"uesiglo21","page_name":"FroylanEduardoCuellar","display_name":"Froylan Eduardo Cuellar","profile_url":"https://uesiglo21.academia.edu/FroylanEduardoCuellar?f_ri=892","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_23542770" data-work_id="23542770" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/23542770/Comparative_Analysis_Approach_towards_Clay_Bricks_and_Fly_Ash_Bricks_by_Independent_Samples_T_test_through_SPSS">Comparative Analysis Approach towards Clay Bricks and Fly Ash Bricks by Independent Samples T-test through SPSS</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Bricks are one of the most important items of construction activities. India is the second largest brick producer in the world. It is continuously expanding on account of a rapid increase in demand for bricks in infrastructure and housing... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_23542770" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Bricks are one of the most important items of construction activities. India is the second largest brick producer in the world. It is continuously expanding on account of a rapid increase in demand for bricks in infrastructure and housing project. In order to meet this demand, over 150,000 brick units provide direct employment to more than 8 million workers. The annual turnover of the industry is Rs. 8000 crore (Approx). With the restriction in use of clay in manufacturing of bricks, fly ash brick is best substitute for it. Growing awareness among the prospective and potential building & consistent efforts by Govt. fly ash brick is incorporate in the schedule of various construction agencies. With the change of demand of the society, fly ash bricks are gradually increasing day by day not only in the metropolitan cities but also in urban & rural sector. All construction works are dependent on bricks. This research paper presents a comparison of fly ash bricks and clay bricks. Data is collected through questionnaires and personal interviews targeting Consultants, Engineers, and Traders. SPSS (Statistical Package for the Social Sciences) is adopted to evaluate the responses collected from the respondent by Independent Samples T-test.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/23542770" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c41320b75055777fd7af8e9f33f75478" rel="nofollow" data-download="{"attachment_id":43972834,"asset_id":23542770,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43972834/download_file?st=MTczMjM5ODk0MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3866826" href="https://marwadieducation.academia.edu/ASHISHMAKWANA">ASHISH H . MAKWANA</a><script data-card-contents-for-user="3866826" type="text/json">{"id":3866826,"first_name":"ASHISH","last_name":"MAKWANA","domain_name":"marwadieducation","page_name":"ASHISHMAKWANA","display_name":"ASHISH H . MAKWANA","profile_url":"https://marwadieducation.academia.edu/ASHISHMAKWANA?f_ri=892","photo":"https://0.academia-photos.com/3866826/2787242/34582888/s65_ashish.makwana.jpg"}</script></span></span></li><li class="js-paper-rank-work_23542770 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="23542770"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 23542770, container: ".js-paper-rank-work_23542770", }); });</script></li><li class="js-percentile-work_23542770 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23542770; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_23542770"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_23542770 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="23542770"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23542770; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23542770]").text(description); $(".js-view-count-work_23542770").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_23542770").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="23542770"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2606" href="https://www.academia.edu/Documents/in/Innovation_statistics">Innovation statistics</a>, <script data-card-contents-for-ri="2606" type="text/json">{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5187" href="https://www.academia.edu/Documents/in/Statistical_Analysis">Statistical Analysis</a>, <script data-card-contents-for-ri="5187" type="text/json">{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6416" href="https://www.academia.edu/Documents/in/Human_Resource_Management">Human Resource Management</a><script data-card-contents-for-ri="6416" type="text/json">{"id":6416,"name":"Human Resource Management","url":"https://www.academia.edu/Documents/in/Human_Resource_Management?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=23542770]'), work: {"id":23542770,"title":"Comparative Analysis Approach towards Clay Bricks and Fly Ash Bricks by Independent Samples T-test through SPSS","created_at":"2016-03-21T20:40:58.632-07:00","url":"https://www.academia.edu/23542770/Comparative_Analysis_Approach_towards_Clay_Bricks_and_Fly_Ash_Bricks_by_Independent_Samples_T_test_through_SPSS?f_ri=892","dom_id":"work_23542770","summary":"Bricks are one of the most important items of construction activities. India is the second largest brick producer in the world. It is continuously expanding on account of a rapid increase in demand for bricks in infrastructure and housing project. In order to meet this demand, over 150,000 brick units provide direct employment to more than 8 million workers. The annual turnover of the industry is Rs. 8000 crore (Approx). With the restriction in use of clay in manufacturing of bricks, fly ash brick is best substitute for it. Growing awareness among the prospective and potential building \u0026 consistent efforts by Govt. fly ash brick is incorporate in the schedule of various construction agencies. With the change of demand of the society, fly ash bricks are gradually increasing day by day not only in the metropolitan cities but also in urban \u0026 rural sector. All construction works are dependent on bricks. This research paper presents a comparison of fly ash bricks and clay bricks. Data is collected through questionnaires and personal interviews targeting Consultants, Engineers, and Traders. SPSS (Statistical Package for the Social Sciences) is adopted to evaluate the responses collected from the respondent by Independent Samples T-test.","downloadable_attachments":[{"id":43972834,"asset_id":23542770,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3866826,"first_name":"ASHISH","last_name":"MAKWANA","domain_name":"marwadieducation","page_name":"ASHISHMAKWANA","display_name":"ASHISH H . MAKWANA","profile_url":"https://marwadieducation.academia.edu/ASHISHMAKWANA?f_ri=892","photo":"https://0.academia-photos.com/3866826/2787242/34582888/s65_ashish.makwana.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=892","nofollow":false},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=892","nofollow":false},{"id":6416,"name":"Human Resource Management","url":"https://www.academia.edu/Documents/in/Human_Resource_Management?f_ri=892","nofollow":false},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=892"},{"id":18186,"name":"Renewable energy resources","url":"https://www.academia.edu/Documents/in/Renewable_energy_resources?f_ri=892"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=892"},{"id":60211,"name":"Primavera P6","url":"https://www.academia.edu/Documents/in/Primavera_P6?f_ri=892"},{"id":60585,"name":"Factor analysis","url":"https://www.academia.edu/Documents/in/Factor_analysis?f_ri=892"},{"id":204705,"name":"Analytical Hierarchy Process (AHP)","url":"https://www.academia.edu/Documents/in/Analytical_Hierarchy_Process_AHP_?f_ri=892"},{"id":425968,"name":"Independent-Sample T-Test","url":"https://www.academia.edu/Documents/in/Independent-Sample_T-Test?f_ri=892"},{"id":611814,"name":"Correlation coefficient","url":"https://www.academia.edu/Documents/in/Correlation_coefficient?f_ri=892"},{"id":753505,"name":"Chi Square Test","url":"https://www.academia.edu/Documents/in/Chi_Square_Test?f_ri=892"},{"id":909110,"name":"Ms Project","url":"https://www.academia.edu/Documents/in/Ms_Project?f_ri=892"},{"id":993238,"name":"SPSS Software","url":"https://www.academia.edu/Documents/in/SPSS_Software?f_ri=892"},{"id":1115329,"name":"Test ANOVA","url":"https://www.academia.edu/Documents/in/Test_ANOVA?f_ri=892"},{"id":1167704,"name":"Frequency Analysis","url":"https://www.academia.edu/Documents/in/Frequency_Analysis?f_ri=892"},{"id":1697724,"name":"Technique for Order of Preference by Similarity to Ideal Solution","url":"https://www.academia.edu/Documents/in/Technique_for_Order_of_Preference_by_Similarity_to_Ideal_Solution?f_ri=892"},{"id":2243842,"name":"Relative importance analysis","url":"https://www.academia.edu/Documents/in/Relative_importance_analysis?f_ri=892"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27150297" data-work_id="27150297" itemscope="itemscope" 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$(".js-view-count-work_27150297").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="27150297"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="53779" href="https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel">statistics with SPSS and Excel</a>, <script data-card-contents-for-ri="53779" type="text/json">{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=892","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1255971" href="https://www.academia.edu/Documents/in/Analyzing_Educational_Data_With_IBM_SPSS_Statistics">Analyzing Educational Data With IBM SPSS Statistics</a><script data-card-contents-for-ri="1255971" type="text/json">{"id":1255971,"name":"Analyzing Educational Data With IBM SPSS Statistics","url":"https://www.academia.edu/Documents/in/Analyzing_Educational_Data_With_IBM_SPSS_Statistics?f_ri=892","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=27150297]'), work: {"id":27150297,"title":"SPSS KULLANMA KILAVUZU: SPSS İLE ADIM ADIM VERİ ANALİZİ","created_at":"2016-07-21T03:52:05.741-07:00","url":"https://www.academia.edu/27150297/SPSS_KULLANMA_KILAVUZU_SPSS_%C4%B0LE_ADIM_ADIM_VER%C4%B0_ANAL%C4%B0Z%C4%B0?f_ri=892","dom_id":"work_27150297","summary":null,"downloadable_attachments":[{"id":47399749,"asset_id":27150297,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40806891,"first_name":"Sibel","last_name":"Balcı","domain_name":"tedu","page_name":"SibelBalcı","display_name":"Sibel Balcı","profile_url":"https://tedu.academia.edu/SibelBalc%C4%B1?f_ri=892","photo":"https://0.academia-photos.com/40806891/13044933/14384563/s65_sibel.balc_.jpg"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=892","nofollow":false},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=892","nofollow":false},{"id":1255971,"name":"Analyzing Educational Data With IBM SPSS Statistics","url":"https://www.academia.edu/Documents/in/Analyzing_Educational_Data_With_IBM_SPSS_Statistics?f_ri=892","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36454162" data-work_id="36454162" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36454162/R_ile_%C4%B0statistiksel_Veri_Analizleri">R ile İstatistiksel Veri Analizleri</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">R Programlama dilinin Türkçe ve ücretsiz kaynak olması bakımından üniversitede hazırlamış olduğum tam sürüm çalışmadır.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a 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