{"id":27,"date":"2015-07-02T17:53:15","date_gmt":"2015-07-02T17:53:15","guid":{"rendered":"https:\/\/jessicaeblack.wordpress.com\/?page_id=27"},"modified":"2020-12-11T12:26:15","modified_gmt":"2020-12-11T18:26:15","slug":"statistics-calculator-t-test-cohens-d-regression-diagnostics-cut-off-values","status":"publish","type":"page","link":"https:\/\/jessicaeblack.org\/research\/statistics-calculator-t-test-cohens-d-regression-diagnostics-cut-off-values\/","title":{"rendered":"Statistics calculator (t-test, MV outliers)"},"content":{"rendered":"\n<p style=\"font-size:18px\">I created this page so I could plug in values and get Cohen&#8217;s <em>d<\/em> for multiple comparisons, chi square p values, and cut-off values for multivariate (MV) outliers. Hopefully others can use it too! I&#8217;ve also included useful links to other statistics sites. Let me know if anything fails to work (for a while the spreadsheets wouldn&#8217;t allow people to input values, even though I had changed nothing in the source. I believe it&#8217;s fixed now).<\/p>\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading\">Cut-off values for Multivariate outliers<\/h3>\n\n\n\n<p style=\"font-size:18px\">This spreadsheet will calculate&nbsp;the cut-off values (above which the case may be a multivariate outlier) for Cook&#8217;s&nbsp;<em>d <\/em>(4\/<em>n-k<\/em>-1), leverage (2k+2\/N), and dfbeta (2\/SQRT(N); <a href=\"https:\/\/amzn.to\/2JuVCK1\" target=\"_blank\" rel=\"noreferrer noopener\">Belsley, Kuh, &amp; Welsch<\/a>, 2013). &nbsp;When I&#8217;ve got more time, I will provide definitions and links&#8230; for now, if you know what you&#8217;re looking for, this calculator should be useful ;-). &nbsp;.<\/p>\n\n\n\n<iframe width=\"55%\" height=\"450\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading lazyload\">Independent samples <em>t<\/em>-test with Cohen&#8217;s <em>d<\/em><\/h3>\n\n\n\n<p style=\"font-size:18px\">This next one will calculate <em>t<\/em> (and associated <em>p<\/em> values for one- and two-tailed tests), and Cohen&#8217;s <em>d:<\/em><\/p>\n\n\n\n<iframe width=\"56%\" height=\"550\" data-src=\"https:\/\/docs.google.com\/spreadsheets\/d\/1ZhRo8R3dt96qWCvLcxaXRSOEEhNIix_nsNEm9AE9Eew\/edit?usp=sharing&amp;single=true&amp;widget=true&amp;headers=false\"><\/iframe>\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading\">Chi square probability calculator <\/h3>\n\n\n\n<p style=\"font-size:18px\">(gives&nbsp;<em>p<\/em> for given chi square\/degrees of freedom)<\/p>\n\n\n\n<iframe width=\"56%\" height=\"375\" pixels=\"\" data-src=\"https:\/\/docs.google.com\/spreadsheets\/d\/1YmJ6_tOmt-DT5tZkO01bIdvRoGfAdB9yWK6JGyE0s6s\/edit?usp=sharing&amp;single=true&amp;widget=true&amp;headers=false\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe>\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading\"><em>d<\/em> for ANOVA\/ANCOVA etc models:<\/h3>\n\n\n\n<p style=\"font-size:18px\">To calculate <em>d<\/em> for ANOVA and other regression models, I divide the mean difference for any given comparison by the root mean square error. This spreadsheet allows you to plug in the MSE (output available on any statistical software) and mean difference:<\/p>\n\n\n\n<iframe width=\"45%\" height=\"350\" pixels=\"\" data-src=\"https:\/\/docs.google.com\/spreadsheets\/d\/1B0HKA7qANw-4J1l7xG7qnyvrMpDrHS0ARCC7jUvV8uc\/edit?usp=sharing&amp;single=true&amp;widget=true&amp;headers=false\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe>\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading\">Multiple Cohen&#8217;s <em>d<\/em>:<\/h3>\n\n\n\n<p>I use the spreadsheet below to copy-paste means and standard deviations from statistical software output tables. Pasting means and standard deviation values into blue cells will result in Cohen&#8217;s <em>d<\/em> in green cells.<\/p>\n\n\n\n<iframe width=\"57%\" height=\"600\" pixels=\"\" data-src=\"https:\/\/docs.google.com\/spreadsheets\/d\/1mCV9StxIvBR00d3tJd-DlPfg225pE8r7g3cgObwafF8\/edit?usp=sharing&amp;single=true&amp;widget=true&amp;headers=false\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe>\n\n\n\n<h3 class=\"has-neve-link-hover-color-color has-text-color wp-block-heading\">Some links to other useful stats tools:<\/h3>\n\n\n\n<p style=\"font-size:18px\"><a href=\"https:\/\/www.fourmilab.ch\/rpkp\/experiments\/analysis\/chiCalc.html\" target=\"_blank\" rel=\"noreferrer noopener\">Fourmilab<\/a>: &nbsp;Calculates&nbsp;<em>p<\/em> value for a given chi square\/ degrees of freedom value (I use this site when doing chi-square change tests)<\/p>\n\n\n\n<p style=\"font-size:18px\"><a href=\"http:\/\/psych.unl.edu\/psycrs\/statpage\/regression.html\" target=\"_blank\" rel=\"noreferrer noopener\">Lots of useful tools<\/a>: &nbsp;I download the FZT computator, which calculates Steiger&#8217;s <em>z<\/em> \/ Hotelling&#8217;s&nbsp;<em>t<\/em> and Fisher&#8217;s exact&nbsp;<em>z.<\/em><\/p>\n\n\n\n<p style=\"font-size:18px\">A <a href=\"http:\/\/www.psychmike.com\/dependent_correlations.php\" target=\"_blank\" rel=\"noreferrer noopener\">web page<\/a> with a Steiger&#8217;s&nbsp;<em>z<\/em> calculator for comparing correlations in the <strong><span style=\"text-decoration: underline;\">same sample<\/span><\/strong>. &nbsp;I haven&#8217;t actually tested this one, but it looks legit. &nbsp;(Steiger&#8217;s z is used to test if two correlations are statistically different. &nbsp;For example, if you want to show that the correlation between x and y (e.g.,&nbsp;<em>r<\/em> = .72) is significantly stronger than the correlation between y and z (e.g.,&nbsp;<em>r<\/em> = .45), you would use Steiger&#8217;s&nbsp;<em>z.<\/em>)<\/p>\n\n\n\n<p style=\"font-size:18px\">A <a href=\"http:\/\/www.quantpsy.org\/corrtest\/corrtest.htm\" target=\"_blank\" rel=\"noreferrer noopener\">page<\/a> that will calculate&nbsp;<em>z<\/em> to compare correlations in <strong><span style=\"text-decoration: underline;\">different<\/span><\/strong> samples.<\/p>\n\n\n\n<p style=\"font-size:18px\"><a href=\"http:\/\/www.afhayes.com\/spss-sas-and-mplus-macros-and-code.html\" target=\"_blank\" rel=\"noreferrer noopener\">Andrew Hayes<\/a>&#8216;s many macros, etc., for SPSS and SAS<\/p>\n\n\n\n<p style=\"font-size:18px\">More to come when I&#8217;ve got time&#8230;  You can find more about me <a href=\"https:\/\/jessicaeblack.org\/research\/about\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>. I will be accepting clients for freelance consulting on research design and data collection starting in 2020 (<a href=\"https:\/\/jessicaeblack.org\/research\/freelance-consulting-research-design-data-collection-statistics\/\" target=\"_blank\" rel=\"noreferrer noopener\">details<\/a>).<\/p>\n\n\n\n<p style=\"font-size:18px\">In the meantime, if you&#8217;ve found my statistics calculators useful, please do <strong>buy me a coffee<\/strong>!<\/p>\n\n\n\n<p><a href=\"https:\/\/ko-fi.com\/N4N6R6R3\" target=\"_blank\" rel=\"noopener noreferrer\"><img data-recalc-dims=\"1\" width=\"1200\" decoding=\"async\" style=\"--smush-placeholder-width: 1200px; --smush-placeholder-aspect-ratio: 1200\/36;border: 0; height: 36px;\" data-src=\"https:\/\/i0.wp.com\/az743702.vo.msecnd.net\/cdn\/kofi4.png?fit=1200%2C36&#038;ssl=1\" alt=\"Buy Me a Coffee at ko-fi.com\" height=\"36\" border=\"0\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I created this page so I could plug in values and get Cohen&#8217;s d for multiple comparisons, chi square p values, and cut-off values for multivariate (MV) outliers. Hopefully others can use it too! I&#8217;ve also included useful links to other statistics sites. Let me know if anything fails to work (for a while the&hellip;&nbsp;<a href=\"https:\/\/jessicaeblack.org\/research\/statistics-calculator-t-test-cohens-d-regression-diagnostics-cut-off-values\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Statistics calculator (t-test, MV outliers)<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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