{"id":116,"date":"2024-08-21T12:05:43","date_gmt":"2024-08-21T12:05:43","guid":{"rendered":"http:\/\/localhost\/researchmethods\/?post_type=content&#038;p=116"},"modified":"2026-08-26T12:49:44","modified_gmt":"2026-08-26T12:49:44","slug":"chapter-24-anova-for-repeated-measures-designs","status":"publish","type":"content","link":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/","title":{"rendered":"Chapter 24 &#8211; ANOVA for repeated measures designs"},"content":{"rendered":"\n<div class=\"wp-block-group has-base-background-color has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--70);padding-bottom:var(--wp--preset--spacing--70)\">\n<div class=\"wp-block-group alignwide is-layout-flow wp-block-group-is-layout-flow\"><nav style=\"--separator: &quot;\/&quot;\" class=\"wp-block-breadcrumbs\" aria-label=\"Breadcrumbs\"><ol><li><a href=\"https:\/\/routledgelearning.com\/researchmethods\/\">Home<\/a><\/li><li><a href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/\">Student Resources<\/a><\/li><li><span aria-current=\"page\">Chapter 24 &#8211; ANOVA for repeated measures designs<\/span><\/li><\/ol><\/nav>\n\n<h1 class=\"alignwide wp-block-post-title has-large-font-size\">Chapter 24 &#8211; ANOVA for repeated measures designs<\/h1>\n\n\n<p class=\"wp-block-paragraph\">This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--60);padding-bottom:var(--wp--preset--spacing--60)\">\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-7387b849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:75%\">\n<h2 id=\"aioseo-exercises\" class=\"wp-block-heading\">Exercises<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The data sets used to calculate the repeated measures examples in this chapter are provided below.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/routledgelearning.com\/researchmethods\/wp-content\/uploads\/sites\/21\/2024\/09\/Chapter-24-Data-sets.zip\" style=\"background-color:#ebd7c8;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40);box-shadow:none\">Download &#8211; Data Sets<\/a><\/div>\n<\/div>\n\n\n\n<h3 id=\"aioseo-exercise-24-1\" class=\"wp-block-heading\">Exercise 24.1<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Calculating a one-way repeated measures ANOVA example<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You will need the following data set to complete this exercise:<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/routledgelearning.com\/researchmethods\/wp-content\/uploads\/sites\/21\/2024\/09\/Chapter-24-repeated-measures-1-way-ex.zip\" style=\"background-color:#ebd7c8;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40);box-shadow:none\">Download &#8211; Repeated Measures 1-way ex Data Sets<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The file repeated measures 1-way.sav (SPSS) or repeated measures 1-way.xls (Excel) contains data for a fictitious study in which new employees were assessed for efficiency in their similar jobs after one month, six months and twelve months. Calculate the one-way repeated measures results and compare with the answer given below. The repeated measures variable is contained in the columns entitled efficency1, efficiency6 and efficiency12. In SPSS use the General linear model menu item. Don\u2019t forget to check and report Mauchly\u2019s test for sphericity.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Show answer<\/summary>\n<p class=\"wp-block-paragraph\">The means (and standard deviations) of the efficiency scores after 1 month, 6 months and 12 months respectively were M = 38.3 (3.91), M = 41.5 (6.51) and M = 46.1 (6.92). The means differed significantly with <em>F<\/em> (2,30) = 8.247, <em>p<\/em> = .001, effect size (eta squared ) = .355. Mauchly\u2019s test was not significant, <em>p<\/em> = .349.<\/p>\n<\/details>\n\n\n\n<h3 id=\"aioseo-exercise-24-2\" class=\"wp-block-heading\">Exercise 24.2<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Calculating a two-way mixed design ANOVA example<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You will need this data set to carry out this exercise:<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/routledgelearning.com\/researchmethods\/wp-content\/uploads\/sites\/21\/2024\/09\/Chapter-24-repeated-measures-mixed.sav_.zip\" style=\"background-color:#ebd7c8;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40);box-shadow:none\">Download &#8211; Repeated Measures Mixed Data Sets<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">In this exercise you can tackle a two-way mixed design where there is one repeated measures factor (<strong><em>efficiency<\/em><\/strong> from the last exercise) and one between groups factor. This new factor is one of <strong><em>training<\/em><\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine the new employees in the last exercise were randomly divided into a group that received no training, one that received training and one that received training and some team building exercises early on in their employment at the company. You need the file repeated measures mixed.sav (SPSS) or repeated measures mixed.xls (Excel).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Conduct the two-way analysis for <em>efficiency<\/em> and <em>training<\/em> ignoring the column headed \u2018graduate\u2019 for now. Compare your results with those under \u2018Show Answer\u2019 below. Select <strong>Descriptives<\/strong> under <strong>Options<\/strong> to get the means and SDs for the <em>efficiency<\/em> conditions. To get the means and SDs for the&nbsp; training groups on each efficiency level you can create a new variable which is the mean of the three efficiency measures then use <strong>Analyze\/Compare Means\/Means<\/strong>. <strong><u>E<\/u>M Means<\/strong> will give means but inappropriate SD estimates.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Show answer<\/summary>\n<p class=\"wp-block-paragraph\">There was a main effect for efficiency with the means rising from M = 43.2, SD = 7.33 at one month, through M = 45.8, SD = 7.68 at six months to M = 49.06, SD = 6.09 at twelve months.&nbsp;<em>F<sub>2,90<\/sub> =1<\/em><em>2.<\/em>454, <em>p<\/em>&nbsp;&lt; .001, effect size (partial&nbsp;<em>eta<\/em><sup>2<\/sup>) = .217<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There was a main effect for training with means of M = 41.96, SD = 3.86 for the untrained group, M = 46.313, SD = 4.48 for the trained group and M = 49.813, SD = 4.30 for the trained and team building group.&nbsp;<em>F<\/em><sub>2,45<\/sub>&nbsp;= 13.879,&nbsp;<em>p<\/em>&nbsp;&lt; .001, effect size (partial&nbsp;<em>eta<\/em><sup>2<\/sup> ) = .382.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The interaction was not significant. Sphericity was at an acceptable level (<em>p<\/em>&nbsp;= .213). Levene\u2019s test for homogeneity of variance was not significant for any level of <em>efficiency<\/em>&nbsp;so equality of variances was assumed.<\/p>\n<\/details>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019re really feeling adventurous you could try the three-way mixed ANOVA that is produced by including the factor of graduate. This tells us whether the participant was a graduate or not. I have only provided brief details of results below but enough to let you see you\u2019ve performed the analysis correctly.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Show answer<\/summary>\n<p class=\"wp-block-paragraph\">Main effect efficiency&nbsp;<em>F<\/em><sub>2,84<\/sub>&nbsp;= 13.034, <em>p<\/em>&nbsp;&lt;.001,&nbsp;eta<sup>2<\/sup> = .237<br>Main effect training&nbsp;<em>F<\/em><sub>2,42<\/sub>&nbsp;= 17.598,&nbsp;<em>p<\/em>&nbsp;&lt; .001,&nbsp;&nbsp;eta<sup>2<\/sup> = .456<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Main effect graduate F<sub>1,42<\/sub> = 4.21, <em>p<\/em> = 046, eta<sup>2<\/sup> = .091<br>Interaction efficiency x training not significant<br>Interaction efficiency x graduate not significant<br>Interaction training x graduate significant&nbsp;<em>F<\/em><sub>2,42<\/sub>&nbsp; = 5.424,&nbsp;<em>p<\/em>&nbsp;= .008,&nbsp;&nbsp;&nbsp;eta<sup>2<\/sup>&nbsp; = .205<br>Three-way interaction efficiency x training x graduate approaching significance <em>p<\/em>&nbsp;= .054<\/p>\n<\/details>\n\n\n\n<h3 id=\"aioseo-exercise-24-3\" class=\"wp-block-heading\">Exercise 24.3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Calculation of a two-way repeated measures ANOVA<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/routledgelearning.com\/researchmethods\/wp-content\/uploads\/sites\/21\/2024\/09\/Chapter-24-2way-repeated-ex.zip\" style=\"background-color:#ebd7c8;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40);box-shadow:none\">Download &#8211; 2 Way Repeated Ex<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The data set these files are based on is an experiment where participants undergo the Stroop experience. Stroop was the psychologist responsible for demonstrating the dramatic effect that occurs when people are asked to name the colour of the ink in which words are written \u2013 there is a big problem if the word whose colour you are naming is a different colour word (e.g., red written in green \u2013 an \u2018incongruent\u2019 colour word)! People take much longer to name the ink colour of a set of such words than they do to name the colours of \u2018congruent\u2019 words (colour words written in the ink colour of the word they spell).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A further refinement of the experiment, based on a theory of sub-vocal speech when reading, is the prediction that words that&nbsp;<em>sound&nbsp;<\/em>like colour words (such as \u2018shack\u2019 or \u2018crown\u2019) should also produce some interference, if incongruent, thus lengthening times to name ink colours. The Stroop factor of this experiment then involves three conditions: naming the ink colour of congruent words; naming the ink colour of incongruent words sounding like colour words; and naming the ink colour of incongruent colour words.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the imaginary experiment here we have introduced a second factor, which is that people perform the three Stroop tasks both alone and then in front of an audience. The data are presented as a 2 x 3 repeated measures design so there are six columns of raw data, the numbers being number of seconds to read the list of words.&nbsp;<em>Control<\/em>&nbsp;is naming the ink colour of congruent words,&nbsp;<em>rhyme<\/em>&nbsp;uses words sounding like incongruent colour words and&nbsp;<em>colour<\/em>&nbsp;uses incongruent colour words. The end part of each variable refers to the audience conditions,&nbsp;<em>alone<\/em>&nbsp;if no audience and&nbsp;<em>aud<\/em>&nbsp;with an audience observing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Remember that in SPSS you have to name the two repeated measures factors then carefully select columns when asked to define the levels of each variable. If you enter the repeated measures variable names as first \u2018stroop\u2019, then \u2018audience\u2019 you will be asked to identify variables in the order stroop 1, audience 1, stroop 1, audience 2 and so on, so that\u2019s&nbsp;<em>controlalone<\/em>,&nbsp;<em>controlaud<\/em>,&nbsp;<em>rhymealone<\/em>&nbsp;\u2026 and so on. To get the true means and SDs for the overall Stroop conditions you\u2019ll need to compute a new variable which is the mean of the two columns for each level. For <em>control<\/em> the new variable will be (controlalone + controlaud)\/2 and so on for <em>rhyme<\/em> and <em>colour<\/em>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Carry out the two-way analysis, remembering to check Mauchly\u2019s sphericity statistic and to ask for descriptive statistics so you can see the mean of each level of each variable.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Show answer<\/summary>\n<p class=\"wp-block-paragraph\">The main effect for Stroop is basically massive (as it nearly always is). The overall means for the three conditions were control M = 44.5 (SD = 14.54), rhyme M = 58.9 (SD = 14.82) and colour M = 97.7 (SD = 20.47). <em>F<\/em><sub>2,18 <\/sub>= 34.873, <em>p<\/em> &lt; .001, partial&nbsp;eta<sup>2<\/sup>&nbsp;= .795<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There was no effect for audience and the interaction stroop x audience was not significant. Sphericity was not a problem.<strong><\/strong><\/p>\n<\/details>\n\n\n\n<h3 id=\"aioseo-exercise-24-4\" class=\"wp-block-heading\">Exercise 24.4<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Questions on SPSS results for a two-way ANOVA<\/strong><strong><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The table below shows part of the SPSS output for a two-way ANOVA calculation. Extroverts and introverts (factor extint) have been asked to perform a task more than once during the day to see whether extroverts improve through the day and introverts worsen.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>&nbsp;<\/td><td><em>df<\/em><\/td><td><em>F<\/em><\/td><td><em>p<\/em><\/td><td>Effect size&nbsp;= eta<sup>2<\/sup><\/td><\/tr><tr><td>Performance<\/td><td>2<\/td><td>3.795<\/td><td>.026<\/td><td>.073<\/td><\/tr><tr><td>Performance x extint<\/td><td>2<\/td><td>23.225<\/td><td>P&lt;.001<\/td><td>.326<\/td><\/tr><tr><td>Error (performance)<\/td><td>96<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Extint<\/td><td>1<\/td><td>.026<\/td><td>.872<\/td><td>.001<\/td><\/tr><tr><td>Error<\/td><td>48<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-group has-base-element-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-0910e091 wp-block-group-is-layout-constrained\" style=\"border-width:1px;padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">\n<div class=\"wp-block-group alignwide is-layout-flow wp-block-group-is-layout-flow\"><script>\n                            if (window.qmn_quiz_data === undefined) {\n                                    window.qmn_quiz_data = new Object();\n                            }\n                    <\/script><script>window.qmn_quiz_data[\"24\"] = {\"quiz_id\":\"24\",\"quiz_name\":\"exercise244\",\"disable_answer\":0,\"ajax_show_correct\":0,\"progress_bar\":\"0\",\"contact_info_location\":\"0\",\"qpages\":{\"2\":{\"id\":\"2\",\"quizID\":\"24\",\"pagekey\":\"ncGQvVjG\",\"hide_prevbtn\":\"0\"}},\"skip_validation_time_expire\":0,\"timer_limit_val\":0,\"disable_scroll_next_previous_click\":0,\"disable_scroll_on_result\":0,\"disable_first_page\":\"0\",\"enable_result_after_timer_end\":0,\"enable_quick_result_mc\":0,\"end_quiz_if_wrong\":0,\"form_disable_autofill\":0,\"disable_mathjax\":0,\"enable_quick_correct_answer_info\":\"0\",\"quick_result_correct_answer_text\":\"Correct! You have selected correct answer.\",\"quick_result_wrong_answer_text\":\"Wrong! You have selected wrong answer.\",\"quiz_processing_message\":\"\",\"quiz_limit_choice\":\"Limit of choice is reached.\",\"not_allow_after_expired_time\":0,\"scheduled_time_end\":false,\"prevent_reload\":0,\"limit_email_based_submission\":0,\"total_user_tries\":0,\"is_logged_in\":false,\"pagination\":{\"amount\":1,\"section_comments\":\"\",\"total_questions\":5,\"previous_text\":\"Previous\",\"next_text\":\"Next\",\"start_quiz_survey_text\":\"Start Quiz\",\"submit_quiz_text\":\"Submit\"},\"error_messages\":{\"email_error_text\":\"Not a valid e-mail address!\",\"number_error_text\":\"This field must be a number!\",\"incorrect_error_text\":\"The entered text is not correct!\",\"empty_error_text\":\"Please complete all required fields!\",\"contact_field_required_error_text\":\"Please complete all required fields!\",\"url_error_text\":\"The entered URL is not valid!\",\"minlength_error_text\":\"Required atleast %minlength% characters.\",\"maxlength_error_text\":\"Maximum %maxlength% characters allowed.\",\"recaptcha_error_text\":\"ReCaptcha is missing\",\"phone_error_text\":\"Phone number is invalid\",\"empty_grid_radio_checkbox_text\":\"Please complete all  rows required fields!\",\"empty_audio_text\":\"Please upload audio!\"},\"question_list\":{\"156\":{\"question_id\":\"156\",\"quiz_id\":\"24\",\"question_name\":\"The design is:\",\"answer_array\":\"a:4:{i:0;a:3:{i:0;s:11:\\\"2 x 3 mixed\\\";i:1;d:0;i:2;i:1;}i:1;a:3:{i:0;s:23:\\\"2 x 3 repeated measures\\\";i:1;d:0;i:2;i:0;}i:2;a:3:{i:0;s:11:\\\"2 x 2 mixed\\\";i:1;d:0;i:2;i:0;}i:3;a:3:{i:0;s:23:\\\"2 x 2 repeated measures\\\";i:1;d:0;i:2;i:0;}}\",\"answer_one\":\"\",\"answer_one_points\":\"0\",\"answer_two\":\"\",\"answer_two_points\":\"0\",\"answer_three\":\"\",\"answer_three_points\":\"0\",\"answer_four\":\"\",\"answer_four_points\":\"0\",\"answer_five\":\"\",\"answer_five_points\":\"0\",\"answer_six\":\"\",\"answer_six_points\":\"0\",\"correct_answer\":\"0\",\"question_answer_info\":\"<p><em>df<\\\/em> for performance is 2, hence 3 conditions, related. Ext\\\/Int has two levels of independent groups, hence 2x3 mixed.<\\\/p>\",\"comments\":\"1\",\"hints\":\"\",\"question_order\":\"1\",\"question_type\":\"0\",\"question_type_new\":\"0\",\"question_settings\":\"a:16:{s:8:\\\"required\\\";i:0;s:12:\\\"answerEditor\\\";s:4:\\\"text\\\";s:14:\\\"question_title\\\";s:10:\\\"Question 1\\\";s:14:\\\"featureImageID\\\";s:0:\\\"\\\";s:15:\\\"featureImageSrc\\\";s:0:\\\"\\\";s:11:\\\"matchAnswer\\\";s:6:\\\"random\\\";s:16:\\\"placeholder_text\\\";s:0:\\\"\\\";s:14:\\\"case_sensitive\\\";s:0:\\\"\\\";s:16:\\\"image_size-width\\\";s:0:\\\"\\\";s:17:\\\"image_size-height\\\";s:0:\\\"\\\";s:8:\\\"autofill\\\";s:0:\\\"\\\";s:10:\\\"limit_text\\\";s:1:\\\"0\\\";s:23:\\\"limit_multiple_response\\\";s:1:\\\"0\\\";s:17:\\\"file_upload_limit\\\";s:1:\\\"4\\\";s:16:\\\"file_upload_type\\\";s:21:\\\"image,application\\\/pdf\\\";s:15:\\\"min_text_length\\\";s:0:\\\"\\\";}\",\"category\":\"\",\"linked_question\":\"\",\"deleted\":\"0\",\"deleted_question_bank\":\"0\",\"answers\":[[\"2 x 3 mixed\",0,1],[\"2 x 3 repeated measures\",0,0],[\"2 x 2 mixed\",0,0],[\"2 x 2 repeated measures\",0,0]]},\"157\":{\"question_id\":\"157\",\"quiz_id\":\"24\",\"question_name\":\"The number of times the participants were tested was:\",\"answer_array\":\"a:4:{i:0;a:3:{i:0;s:1:\\\"1\\\";i:1;d:0;i:2;i:0;}i:1;a:3:{i:0;s:1:\\\"2\\\";i:1;d:0;i:2;i:0;}i:2;a:3:{i:0;s:1:\\\"3\\\";i:1;d:0;i:2;i:1;}i:3;a:3:{i:0;s:1:\\\"4\\\";i:1;d:0;i:2;i:0;}}\",\"answer_one\":\"\",\"answer_one_points\":\"0\",\"answer_two\":\"\",\"answer_two_points\":\"0\",\"answer_three\":\"\",\"answer_three_points\":\"0\",\"answer_four\":\"\",\"answer_four_points\":\"0\",\"answer_five\":\"\",\"answer_five_points\":\"0\",\"answer_six\":\"\",\"answer_six_points\":\"0\",\"correct_answer\":\"0\",\"question_answer_info\":\"Performance <em>df<\\\/em> is 2 so 3 measures.\",\"comments\":\"1\",\"hints\":\"\",\"question_order\":\"1\",\"question_type\":\"0\",\"question_type_new\":\"0\",\"question_settings\":\"a:16:{s:8:\\\"required\\\";i:0;s:12:\\\"answerEditor\\\";s:4:\\\"text\\\";s:14:\\\"question_title\\\";s:10:\\\"Question 2\\\";s:14:\\\"featureImageID\\\";s:0:\\\"\\\";s:15:\\\"featureImageSrc\\\";s:0:\\\"\\\";s:11:\\\"matchAnswer\\\";s:6:\\\"random\\\";s:16:\\\"placeholder_text\\\";s:0:\\\"\\\";s:14:\\\"case_sensitive\\\";s:0:\\\"\\\";s:16:\\\"image_size-width\\\";s:0:\\\"\\\";s:17:\\\"image_size-height\\\";s:0:\\\"\\\";s:8:\\\"autofill\\\";s:0:\\\"\\\";s:10:\\\"limit_text\\\";s:1:\\\"0\\\";s:23:\\\"limit_multiple_response\\\";s:1:\\\"0\\\";s:17:\\\"file_upload_limit\\\";s:1:\\\"4\\\";s:16:\\\"file_upload_type\\\";s:21:\\\"image,application\\\/pdf\\\";s:15:\\\"min_text_length\\\";s:0:\\\"\\\";}\",\"category\":\"\",\"linked_question\":\"\",\"deleted\":\"0\",\"deleted_question_bank\":\"0\",\"answers\":[[\"1\",0,0],[\"2\",0,0],[\"3\",0,1],[\"4\",0,0]]},\"158\":{\"question_id\":\"158\",\"quiz_id\":\"24\",\"question_name\":\"The number of participants was:\",\"answer_array\":\"a:4:{i:0;a:3:{i:0;s:3:\\\"100\\\";i:1;d:0;i:2;i:0;}i:1;a:3:{i:0;s:3:\\\"150\\\";i:1;d:0;i:2;i:1;}i:2;a:3:{i:0;s:3:\\\"149\\\";i:1;d:0;i:2;i:0;}i:3;a:3:{i:0;s:3:\\\"101\\\";i:1;d:0;i:2;i:0;}}\",\"answer_one\":\"\",\"answer_one_points\":\"0\",\"answer_two\":\"\",\"answer_two_points\":\"0\",\"answer_three\":\"\",\"answer_three_points\":\"0\",\"answer_four\":\"\",\"answer_four_points\":\"0\",\"answer_five\":\"\",\"answer_five_points\":\"0\",\"answer_six\":\"\",\"answer_six_points\":\"0\",\"correct_answer\":\"0\",\"question_answer_info\":\"The between subjects factor is ext\\\/int and it has 1 <em>df<\\\/em> and 48 error <em>df<\\\/em>, 49 in all so 50 participants because between subjects <em>df<\\\/em> is total subjects \\u2013 1.\",\"comments\":\"1\",\"hints\":\"\",\"question_order\":\"1\",\"question_type\":\"0\",\"question_type_new\":\"0\",\"question_settings\":\"a:16:{s:8:\\\"required\\\";i:0;s:12:\\\"answerEditor\\\";s:4:\\\"text\\\";s:14:\\\"question_title\\\";s:10:\\\"Question 3\\\";s:14:\\\"featureImageID\\\";s:0:\\\"\\\";s:15:\\\"featureImageSrc\\\";s:0:\\\"\\\";s:11:\\\"matchAnswer\\\";s:6:\\\"random\\\";s:16:\\\"placeholder_text\\\";s:0:\\\"\\\";s:14:\\\"case_sensitive\\\";s:0:\\\"\\\";s:16:\\\"image_size-width\\\";s:0:\\\"\\\";s:17:\\\"image_size-height\\\";s:0:\\\"\\\";s:8:\\\"autofill\\\";s:0:\\\"\\\";s:10:\\\"limit_text\\\";s:1:\\\"0\\\";s:23:\\\"limit_multiple_response\\\";s:1:\\\"0\\\";s:17:\\\"file_upload_limit\\\";s:1:\\\"4\\\";s:16:\\\"file_upload_type\\\";s:21:\\\"image,application\\\/pdf\\\";s:15:\\\"min_text_length\\\";s:0:\\\"\\\";}\",\"category\":\"\",\"linked_question\":\"\",\"deleted\":\"0\",\"deleted_question_bank\":\"0\",\"answers\":[[\"100\",0,0],[\"150\",0,1],[\"149\",0,0],[\"101\",0,0]]},\"159\":{\"question_id\":\"159\",\"quiz_id\":\"24\",\"question_name\":\"Which one of these statements is correct?\",\"answer_array\":\"a:4:{i:0;a:3:{i:0;s:50:\\\"All main and interaction effects were significant.\\\";i:1;d:0;i:2;i:0;}i:1;a:3:{i:0;s:50:\\\"Extroverts differed significantly from introverts.\\\";i:1;d:0;i:2;i:0;}i:2;a:3:{i:0;s:86:\\\"There was a significant interaction between extroversion\\\/introversion and performance.\\\";i:1;d:0;i:2;i:1;}i:3;a:3:{i:0;s:79:\\\"Overall performance did not differ significantly across different times of day.\\\";i:1;d:0;i:2;i:0;}}\",\"answer_one\":\"\",\"answer_one_points\":\"0\",\"answer_two\":\"\",\"answer_two_points\":\"0\",\"answer_three\":\"\",\"answer_three_points\":\"0\",\"answer_four\":\"\",\"answer_four_points\":\"0\",\"answer_five\":\"\",\"answer_five_points\":\"0\",\"answer_six\":\"\",\"answer_six_points\":\"0\",\"correct_answer\":\"0\",\"question_answer_info\":\"Not all effects were significant, there was no significant effect for ext\\\/int, overall performance <em>did<\\\/em> differ significantly. There <em>was<\\\/em> a significant interaction.\",\"comments\":\"1\",\"hints\":\"\",\"question_order\":\"1\",\"question_type\":\"0\",\"question_type_new\":\"0\",\"question_settings\":\"a:16:{s:8:\\\"required\\\";i:0;s:12:\\\"answerEditor\\\";s:4:\\\"text\\\";s:14:\\\"question_title\\\";s:10:\\\"Question 4\\\";s:14:\\\"featureImageID\\\";s:0:\\\"\\\";s:15:\\\"featureImageSrc\\\";s:0:\\\"\\\";s:11:\\\"matchAnswer\\\";s:6:\\\"random\\\";s:16:\\\"placeholder_text\\\";s:0:\\\"\\\";s:14:\\\"case_sensitive\\\";s:0:\\\"\\\";s:16:\\\"image_size-width\\\";s:0:\\\"\\\";s:17:\\\"image_size-height\\\";s:0:\\\"\\\";s:8:\\\"autofill\\\";s:0:\\\"\\\";s:10:\\\"limit_text\\\";s:1:\\\"0\\\";s:23:\\\"limit_multiple_response\\\";s:1:\\\"0\\\";s:17:\\\"file_upload_limit\\\";s:1:\\\"4\\\";s:16:\\\"file_upload_type\\\";s:21:\\\"image,application\\\/pdf\\\";s:15:\\\"min_text_length\\\";s:0:\\\"\\\";}\",\"category\":\"\",\"linked_question\":\"\",\"deleted\":\"0\",\"deleted_question_bank\":\"0\",\"answers\":[[\"All main and interaction effects were significant.\",0,0],[\"Extroverts differed significantly from introverts.\",0,0],[\"There was a significant interaction between extroversion\\\/introversion and performance.\",0,1],[\"Overall performance did not differ significantly across different times of day.\",0,0]]},\"160\":{\"question_id\":\"160\",\"quiz_id\":\"24\",\"question_name\":\"The effect size for the interaction was:\",\"answer_array\":\"a:4:{i:0;a:3:{i:0;s:10:\\\"very large\\\";i:1;d:0;i:2;i:0;}i:1;a:3:{i:0;s:5:\\\"large\\\";i:1;d:0;i:2;i:0;}i:2;a:3:{i:0;s:8:\\\"moderate\\\";i:1;d:0;i:2;i:0;}i:3;a:3:{i:0;s:5:\\\"small\\\";i:1;d:0;i:2;i:1;}}\",\"answer_one\":\"\",\"answer_one_points\":\"0\",\"answer_two\":\"\",\"answer_two_points\":\"0\",\"answer_three\":\"\",\"answer_three_points\":\"0\",\"answer_four\":\"\",\"answer_four_points\":\"0\",\"answer_five\":\"\",\"answer_five_points\":\"0\",\"answer_six\":\"\",\"answer_six_points\":\"0\",\"correct_answer\":\"0\",\"question_answer_info\":\"Chapter 22 says that a large eta<sup>2<\\\/sup> is .14 so our value here is way over that.\",\"comments\":\"1\",\"hints\":\"\",\"question_order\":\"1\",\"question_type\":\"0\",\"question_type_new\":\"0\",\"question_settings\":\"a:16:{s:8:\\\"required\\\";i:0;s:12:\\\"answerEditor\\\";s:4:\\\"text\\\";s:14:\\\"question_title\\\";s:10:\\\"Question 5\\\";s:14:\\\"featureImageID\\\";s:0:\\\"\\\";s:15:\\\"featureImageSrc\\\";s:0:\\\"\\\";s:11:\\\"matchAnswer\\\";s:6:\\\"random\\\";s:16:\\\"placeholder_text\\\";s:0:\\\"\\\";s:14:\\\"case_sensitive\\\";s:0:\\\"\\\";s:16:\\\"image_size-width\\\";s:0:\\\"\\\";s:17:\\\"image_size-height\\\";s:0:\\\"\\\";s:8:\\\"autofill\\\";s:0:\\\"\\\";s:10:\\\"limit_text\\\";s:1:\\\"0\\\";s:23:\\\"limit_multiple_response\\\";s:1:\\\"0\\\";s:17:\\\"file_upload_limit\\\";s:1:\\\"4\\\";s:16:\\\"file_upload_type\\\";s:21:\\\"image,application\\\/pdf\\\";s:15:\\\"min_text_length\\\";s:0:\\\"\\\";}\",\"category\":\"\",\"linked_question\":\"\",\"deleted\":\"0\",\"deleted_question_bank\":\"0\",\"answers\":[[\"very large\",0,0],[\"large\",0,0],[\"moderate\",0,0],[\"small\",0,1]]}},\"first_page\":false,\"questions_settings\":[]}\n                    <\/script>\t\t<div class='qsm-quiz-container qsm-quiz-container-24 qmn_quiz_container mlw_qmn_quiz qsm_auto_pagination_enabled quiz_theme_default  '>\n\t\t\t\t\t\t\t\t<form name=\"quizForm24\" id=\"quizForm24\" action=\"\/researchmethods\/wp-json\/wp\/v2\/content\/116\/\" method=\"POST\" class=\"qsm-quiz-form qmn_quiz_form mlw_quiz_form\" novalidate enctype=\"multipart\/form-data\">\n\t\t\t\t<input type=\"hidden\" name=\"qsm_hidden_questions\" id=\"qsm_hidden_questions\" value=\"\">\n\t\t\t\t<input type=\"hidden\" name=\"qsm_nonce\" id=\"qsm_nonce_24\" value=\"b6597077ce\">\n\t\t\t\t<input type=\"hidden\" name=\"qsm_unique_key\" id=\"qsm_unique_key_24\" value=\"6a8f98785fb11\">\n\t\t\t\t<div id=\"mlw_error_message\" class=\"qsm-error-message qmn_error_message_section\"><\/div>\n\t\t\t\t<span id=\"mlw_top_of_quiz\"><\/span>\n\t\t\t\t\t\t\t\t\t<div class=\"qsm-auto-page-row qsm-question-page qsm-apc-1\" data-apid=\"1\" data-qpid=\"1\" style=\"display: none;\">\n\t\t\t\t\t\t\t\t<div class=\"quiz_section qsm-question-wrapper question-type-0  question-section-id-156 slide0 \">\n\t\t\t\t\t\t<div class='mlw_qmn_new_question'>Question 1 <\/div>\n\t\t\t<div class='mlw_qmn_question  qsm_remove_bold' >\n\t\t<p>The design is:<\/p>\n\t<\/div>\n\t\t<fieldset>\n\t\t<legend><\/legend>\n\t<div class='qmn_radio_answers mlwRequiredRadio'>\n\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question156-1 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question156\" id=\"question156_1\" value=\"0\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question156_1\">\n\t\t\t\t\t2 x 3 mixed\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question156-2 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question156\" id=\"question156_2\" value=\"1\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question156_2\">\n\t\t\t\t\t2 x 3 repeated measures\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question156-3 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question156\" id=\"question156_3\" value=\"2\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question156_3\">\n\t\t\t\t\t2 x 2 mixed\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question156-4 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question156\" id=\"question156_4\" value=\"3\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question156_4\">\n\t\t\t\t\t2 x 2 repeated measures\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t \t\t\t<label style=\"display: none !important;\" for=\"question156_none\">None<\/label>\n\t\t\t<input type=\"radio\" style=\"display: none;\" name=\"question156\" id=\"question156_none\" checked=\"checked\" value=\"\" \/>\n\t\t\t\t<\/div>\n\t<\/fieldset>\n\t<input type=\"hidden\" name=\"answer_limit_keys_156\" value=\"\" \/>\n\t\t\t\t<\/div><!-- .quiz_section -->\n\t\t\t\t\t\t\t\t<\/div><!-- .qsm-auto-page-row -->\n\t\t\t\t\t\t\t\t\t\t<div class=\"qsm-auto-page-row qsm-question-page qsm-apc-2\" data-apid=\"2\" data-qpid=\"2\" style=\"display: none;\">\n\t\t\t\t\t\t\t\t<div class=\"quiz_section qsm-question-wrapper question-type-0  question-section-id-157 slide1 \">\n\t\t\t\t\t\t<div class='mlw_qmn_new_question'>Question 2 <\/div>\n\t\t\t<div class='mlw_qmn_question  qsm_remove_bold' >\n\t\t<p>The number of times the participants were tested was:<\/p>\n\t<\/div>\n\t\t<fieldset>\n\t\t<legend><\/legend>\n\t<div class='qmn_radio_answers mlwRequiredRadio'>\n\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question157-1 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question157\" id=\"question157_1\" value=\"0\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question157_1\">\n\t\t\t\t\t1\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question157-2 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question157\" id=\"question157_2\" value=\"1\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question157_2\">\n\t\t\t\t\t2\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question157-3 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question157\" id=\"question157_3\" value=\"2\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question157_3\">\n\t\t\t\t\t3\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question157-4 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question157\" id=\"question157_4\" value=\"3\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question157_4\">\n\t\t\t\t\t4\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t \t\t\t<label style=\"display: none !important;\" for=\"question157_none\">None<\/label>\n\t\t\t<input type=\"radio\" style=\"display: none;\" name=\"question157\" id=\"question157_none\" checked=\"checked\" value=\"\" \/>\n\t\t\t\t<\/div>\n\t<\/fieldset>\n\t<input type=\"hidden\" name=\"answer_limit_keys_157\" value=\"\" \/>\n\t\t\t\t<\/div><!-- .quiz_section -->\n\t\t\t\t\t\t\t\t<\/div><!-- .qsm-auto-page-row -->\n\t\t\t\t\t\t\t\t\t\t<div class=\"qsm-auto-page-row qsm-question-page qsm-apc-3\" data-apid=\"3\" data-qpid=\"3\" style=\"display: none;\">\n\t\t\t\t\t\t\t\t<div class=\"quiz_section qsm-question-wrapper question-type-0  question-section-id-158 slide2 \">\n\t\t\t\t\t\t<div class='mlw_qmn_new_question'>Question 3 <\/div>\n\t\t\t<div class='mlw_qmn_question  qsm_remove_bold' >\n\t\t<p>The number of participants was:<\/p>\n\t<\/div>\n\t\t<fieldset>\n\t\t<legend><\/legend>\n\t<div class='qmn_radio_answers mlwRequiredRadio'>\n\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question158-1 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question158\" id=\"question158_1\" value=\"0\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question158_1\">\n\t\t\t\t\t100\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question158-2 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question158\" id=\"question158_2\" value=\"1\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question158_2\">\n\t\t\t\t\t150\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question158-3 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question158\" id=\"question158_3\" value=\"2\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question158_3\">\n\t\t\t\t\t149\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question158-4 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question158\" id=\"question158_4\" value=\"3\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question158_4\">\n\t\t\t\t\t101\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t \t\t\t<label style=\"display: none !important;\" for=\"question158_none\">None<\/label>\n\t\t\t<input type=\"radio\" style=\"display: none;\" name=\"question158\" id=\"question158_none\" checked=\"checked\" value=\"\" \/>\n\t\t\t\t<\/div>\n\t<\/fieldset>\n\t<input type=\"hidden\" name=\"answer_limit_keys_158\" value=\"\" \/>\n\t\t\t\t<\/div><!-- .quiz_section -->\n\t\t\t\t\t\t\t\t<\/div><!-- .qsm-auto-page-row -->\n\t\t\t\t\t\t\t\t\t\t<div class=\"qsm-auto-page-row qsm-question-page qsm-apc-4\" data-apid=\"4\" data-qpid=\"4\" style=\"display: none;\">\n\t\t\t\t\t\t\t\t<div class=\"quiz_section qsm-question-wrapper question-type-0  question-section-id-159 slide3 \">\n\t\t\t\t\t\t<div class='mlw_qmn_new_question'>Question 4 <\/div>\n\t\t\t<div class='mlw_qmn_question  qsm_remove_bold' >\n\t\t<p>Which one of these statements is correct?<\/p>\n\t<\/div>\n\t\t<fieldset>\n\t\t<legend><\/legend>\n\t<div class='qmn_radio_answers mlwRequiredRadio'>\n\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question159-1 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question159\" id=\"question159_1\" value=\"0\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question159_1\">\n\t\t\t\t\tAll main and interaction effects were significant.\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question159-2 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question159\" id=\"question159_2\" value=\"1\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question159_2\">\n\t\t\t\t\tExtroverts differed significantly from introverts.\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question159-3 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question159\" id=\"question159_3\" value=\"2\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question159_3\">\n\t\t\t\t\tThere was a significant interaction between extroversion\/introversion and performance.\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question159-4 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question159\" id=\"question159_4\" value=\"3\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question159_4\">\n\t\t\t\t\tOverall performance did not differ significantly across different times of day.\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t \t\t\t<label style=\"display: none !important;\" for=\"question159_none\">None<\/label>\n\t\t\t<input type=\"radio\" style=\"display: none;\" name=\"question159\" id=\"question159_none\" checked=\"checked\" value=\"\" \/>\n\t\t\t\t<\/div>\n\t<\/fieldset>\n\t<input type=\"hidden\" name=\"answer_limit_keys_159\" value=\"\" \/>\n\t\t\t\t<\/div><!-- .quiz_section -->\n\t\t\t\t\t\t\t\t<\/div><!-- .qsm-auto-page-row -->\n\t\t\t\t\t\t\t\t\t\t<div class=\"qsm-auto-page-row qsm-question-page qsm-apc-5\" data-apid=\"5\" data-qpid=\"5\" style=\"display: none;\">\n\t\t\t\t\t\t\t\t<div class=\"quiz_section qsm-question-wrapper question-type-0  question-section-id-160 slide4 \">\n\t\t\t\t\t\t<div class='mlw_qmn_new_question'>Question 5 <\/div>\n\t\t\t<div class='mlw_qmn_question  qsm_remove_bold' >\n\t\t<p>The effect size for the interaction was:<\/p>\n\t<\/div>\n\t\t<fieldset>\n\t\t<legend><\/legend>\n\t<div class='qmn_radio_answers mlwRequiredRadio'>\n\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question160-1 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question160\" id=\"question160_1\" value=\"0\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question160_1\">\n\t\t\t\t\tvery large\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question160-2 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question160\" id=\"question160_2\" value=\"1\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question160_2\">\n\t\t\t\t\tlarge\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question160-3 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question160\" id=\"question160_3\" value=\"2\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question160_3\">\n\t\t\t\t\tmoderate\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"qmn_mc_answer_wrap  mrq_checkbox_class\" id=\"question160-4 \">\n\t\t\t\t\t\t\t\t\t\t\t<input type='radio' class='qmn_quiz_radio qmn-multiple-choice-input ' name=\"question160\" id=\"question160_4\" value=\"3\" \/>\n\t\t\t\t\t<label class=\"qsm-input-label\" for=\"question160_4\">\n\t\t\t\t\tsmall\t\t\t\t\t<\/label>\n\t\t\t\t\t \t\t\t\t<\/div>\n\t\t\t\t\t \t\t\t<label style=\"display: none !important;\" for=\"question160_none\">None<\/label>\n\t\t\t<input type=\"radio\" style=\"display: none;\" name=\"question160\" id=\"question160_none\" checked=\"checked\" value=\"\" \/>\n\t\t\t\t<\/div>\n\t<\/fieldset>\n\t<input type=\"hidden\" name=\"answer_limit_keys_160\" value=\"\" \/>\n\t\t\t\t<\/div><!-- .quiz_section -->\n\t\t\t\t\t\t\t\t<\/div><!-- .qsm-auto-page-row -->\n\t\t\t\t\t\t\t<input type=\"hidden\" name=\"qmn_question_list\" value=\"156Q157Q158Q159Q160Q\" \/>\n\t\t\t\t\t<div class=\"qsm-auto-page-row quiz_section quiz_end empty_quiz_end qsm-d-none\" >\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div id=\"mlw_error_message_bottom\" class=\"qsm-error-message qmn_error_message_section\"><\/div>\n\t\t\t\t\t<input type=\"hidden\" name=\"qmn_all_questions_count\" id=\"qmn_all_questions_count\" value=\"5\" \/>\n\t\t\t\t\t<input type=\"hidden\" name=\"total_questions\" id=\"total_questions\" value=\"5\" \/>\n\t\t\t\t\t<input type=\"hidden\" name=\"timer\" id=\"timer\" value=\"0\" \/>\n\t\t\t\t\t<input type=\"hidden\" name=\"timer_ms\" id=\"timer_ms\" value=\"0\"\/>\n\t\t\t\t\t<input type=\"hidden\" class=\"qmn_quiz_id\" name=\"qmn_quiz_id\" id=\"qmn_quiz_id\" value=\"24\" \/>\n\t\t\t\t\t<input type='hidden' name='complete_quiz' value='confirmation' \/>\n\t\t\t\t\t\t\t\t\t<\/form>\n\t\t\t\t\t\t<\/div>\n\t\t<div style=\"display: none;\" class=\"qsm-popup qsm-popup-slide\" id=\"modal-4\" aria-hidden=\"false\"><div class=\"qsm-popup__overlay\" tabindex=\"-1\" data-micromodal-close=\"\"><div class=\"qsm-popup__container qmn_quiz_container\" role=\"dialog\" aria-modal=\"true\"><div class=\"qsm-popup__content\"><img decoding=\"async\" src=\"https:\/\/routledgelearning.com\/researchmethods\/wp-content\/plugins\/quiz-master-next\/assets\/clock.png\" alt=\"clock.png\"\/><p class=\"qsm-time-up-text\"> Time&#8217;s up<\/p><\/div><footer class=\"qsm-popup__footer\"><button class=\"qsm-popup-secondary-button qmn_btn\" data-micromodal-close=\"\" aria-label=\"Close this dialog window\" onclick=\"location.reload();\">Cancel<\/button><\/footer><\/div><\/div><\/div><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"aioseo-weblinks\" class=\"wp-block-heading\">Weblinks<\/h2>\n\n\n\n<h3 id=\"aioseo-anova-for-repeated-measures-designs-weblinks\" class=\"wp-block-heading\">ANOVA for repeated measures designs<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">From Laerd Statistics &#8211; a complete run through one-way repeated measures ANOVA analysis with full visuals of each step plus links to results output and explanation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/statistics.laerd.com\/spss-tutorials\/one-way-anova-repeated-measures-using-spss-statistics.php\">One-way ANOVA with repeated measures in SPSS Statistics &#8211; Step-by-step procedure including assumptions. (laerd.com)<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And here\u2019s the complementary two-way analysis:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/statistics.laerd.com\/spss-tutorials\/two-way-repeated-measures-anova-using-spss-statistics.php\">How to perform a two-way repeated measures ANOVA in SPSS Statistics | Laerd Statistics<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A YouTube video \u2013 using SPSS for a two-way repeated measures ANOVA analysis:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.youtube.com\/watch?v=9TDvejlOP0Q\">Two-way repeated-measures ANOVA in SPSS &#8211; YouTube<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Laerd Statistics pages on mixed ANOVA:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/statistics.laerd.com\/spss-tutorials\/mixed-anova-using-spss-statistics.php\">How to perform a Mixed ANOVA in SPSS Statistics | Laerd Statistics<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"aioseo-further-information\" class=\"wp-block-heading\">Further Information<\/h2>\n\n\n\n<h3 id=\"aioseo-the-page-trend-test\" class=\"wp-block-heading\">The Page trend test<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">In Chapter 24 of the book there is a short description of the Page trend test, which is used when you have three or more related sets of data and you want to see whether they follow a trend across conditions. We\u2019ll use the (very minimal) data below as an example. Imagine children have been tested for reading improvement on three successive occasions. We want to see if there is significant improvement.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td colspan=\"6\"><strong>Reading scores for four children tested three times<\/strong><\/td><\/tr><tr><td><strong>Score<\/strong><\/td><td><strong>Rank<\/strong><\/td><td><strong>Score<\/strong><\/td><td><strong>Rank<\/strong><\/td><td><strong>Score<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>3<\/td><td><strong>2<\/strong><\/td><td>2<\/td><td><strong>1<\/strong><\/td><td>10<\/td><td><strong>&nbsp;3<\/strong><\/td><\/tr><tr><td>5<\/td><td><strong>1<\/strong><\/td><td>7<\/td><td><strong>2<\/strong><\/td><td>8<\/td><td><strong>&nbsp;3<\/strong><\/td><\/tr><tr><td>6<\/td><td><strong>1<\/strong><\/td><td>9<\/td><td><strong>3<\/strong><\/td><td>7<\/td><td><strong>&nbsp;2<\/strong><\/td><\/tr><tr><td>3<\/td><td><strong>1<\/strong><\/td><td>8<\/td><td><strong>2<\/strong><\/td><td>11<\/td><td><strong>&nbsp;3<\/strong><\/td><\/tr><tr><td>Totals:<\/td><td><strong>Ra = 5<\/strong><\/td><td>&nbsp;<\/td><td><strong>Rb = 8<\/strong><\/td><td>&nbsp;<\/td><td><strong>Rc = 11<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\">\n<div class=\"wp-block-group is-vertical is-nowrap is-layout-flex wp-container-core-group-is-layout-b3ff8204 wp-block-group-is-layout-flex wp-container-1 is-position-sticky\">\n<p class=\"wp-block-paragraph\"><strong>On this page<\/strong><\/p>\n\n\n\n<nav class=\"wp-block-table-of-contents\"><ol><li><a class=\"wp-block-table-of-contents__entry\" href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#aioseo-exercises\">Exercises<\/a><\/li><li><a class=\"wp-block-table-of-contents__entry\" href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#aioseo-weblinks\">Weblinks<\/a><\/li><li><a class=\"wp-block-table-of-contents__entry\" href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#aioseo-further-information\">Further Information<\/a><\/li><\/ol><\/nav>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Exercise 24.1 Calculating a one-way repeated measures [&hellip;]<\/p>\n","protected":false},"featured_media":0,"parent":121,"menu_order":0,"template":"single-chapter","format":"standard","meta":{"_acf_changed":false},"categories":[],"class_list":["post-116","content","type-content","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO Pro (AIOSEO) 5.0.0.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Research Methods and Statistics in Psychology - 8th Edition\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology\" \/>\n\t\t<meta property=\"og:description\" content=\"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2024-08-21T12:05:43+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-08-26T12:49:44+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology\" \/>\n\t\t<meta name=\"twitter:description\" content=\"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods#listItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/#listItem\",\"name\":\"Student Resources\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/#listItem\",\"position\":2,\"name\":\"Student Resources\",\"item\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/#listItem\",\"name\":\"Chapter 24 &#8211; ANOVA for repeated measures designs\"},\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods#listItem\",\"name\":\"Home\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/#listItem\",\"position\":3,\"name\":\"Chapter 24 &#8211; ANOVA for repeated measures designs\",\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/#listItem\",\"name\":\"Student Resources\"}}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/#organization\",\"name\":\"Research Methods and Statistics in Psychology\",\"description\":\"8th Edition\",\"url\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/#webpage\",\"url\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/\",\"name\":\"Chapter 24 \\u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology\",\"description\":\"This chapter deals with analyses using ANOVA when at least one of the factors is related \\u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating\",\"inLanguage\":\"en-US\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/#website\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/student-resources\\\/chapter-24-anova-for-repeated-measures-designs\\\/#breadcrumblist\"},\"datePublished\":\"2024-08-21T12:05:43+00:00\",\"dateModified\":\"2026-08-26T12:49:44+00:00\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/#website\",\"url\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/\",\"name\":\"Research Methods and Statistics in Psychology\",\"description\":\"8th Edition\",\"inLanguage\":\"en-US\",\"publisher\":{\"@id\":\"https:\\\/\\\/routledgelearning.com\\\/researchmethods\\\/#organization\"}}]}\n\t\t<\/script>\n\t\t<!-- All in One SEO Pro -->\r\n\t\t<title>Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology<\/title>\n\n","aioseo_head_json":{"title":"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology","description":"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating","canonical_url":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BreadcrumbList","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#breadcrumblist","itemListElement":[{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods#listItem","position":1,"name":"Home","item":"https:\/\/routledgelearning.com\/researchmethods","nextItem":{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/#listItem","name":"Student Resources"}},{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/#listItem","position":2,"name":"Student Resources","item":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/","nextItem":{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#listItem","name":"Chapter 24 &#8211; ANOVA for repeated measures designs"},"previousItem":{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods#listItem","name":"Home"}},{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#listItem","position":3,"name":"Chapter 24 &#8211; ANOVA for repeated measures designs","previousItem":{"@type":"ListItem","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/#listItem","name":"Student Resources"}}]},{"@type":"Organization","@id":"https:\/\/routledgelearning.com\/researchmethods\/#organization","name":"Research Methods and Statistics in Psychology","description":"8th Edition","url":"https:\/\/routledgelearning.com\/researchmethods\/"},{"@type":"WebPage","@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#webpage","url":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/","name":"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology","description":"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating","inLanguage":"en-US","isPartOf":{"@id":"https:\/\/routledgelearning.com\/researchmethods\/#website"},"breadcrumb":{"@id":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/#breadcrumblist"},"datePublished":"2024-08-21T12:05:43+00:00","dateModified":"2026-08-26T12:49:44+00:00"},{"@type":"WebSite","@id":"https:\/\/routledgelearning.com\/researchmethods\/#website","url":"https:\/\/routledgelearning.com\/researchmethods\/","name":"Research Methods and Statistics in Psychology","description":"8th Edition","inLanguage":"en-US","publisher":{"@id":"https:\/\/routledgelearning.com\/researchmethods\/#organization"}}]},"og:locale":"en_US","og:site_name":"Research Methods and Statistics in Psychology - 8th Edition","og:type":"article","og:title":"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology","og:description":"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating","og:url":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/","article:published_time":"2024-08-21T12:05:43+00:00","article:modified_time":"2026-08-26T12:49:44+00:00","twitter:card":"summary_large_image","twitter:title":"Chapter 24 \u2013 ANOVA for repeated measures designs - Research Methods and Statistics in Psychology","twitter:description":"This chapter deals with analyses using ANOVA when at least one of the factors is related \u2013 that is, a repeated measures or matched pairs factor (independent variable) has been used. Exercises The data sets used to calculate the repeated measures examples in this chapter are provided below. Download - Data Sets Exercise 24.1 Calculating"},"aioseo_meta_data":{"post_id":"116","title":null,"description":null,"keywords":null,"keyphrases":{"focus":{"keyphrase":"","score":0,"analysis":{"keyphraseInTitle":{"score":0,"maxScore":9,"error":1}}},"additional":[]},"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":"","og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"WebPage","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":"-1","robots_max_videopreview":"-1","robots_max_imagepreview":"large","priority":null,"frequency":"default","local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"open_ai":"{\"title\":{\"suggestions\":[],\"usage\":0},\"description\":{\"suggestions\":[],\"usage\":0}}","ai":{"faqs":[],"keyPoints":[],"schemas":[],"titles":[],"descriptions":[],"socialPosts":{"email":{"subject":"","preview":"","content":""},"linkedin":[],"twitter":[],"facebook":[],"instagram":[]}},"created":"2024-08-21 12:05:44","updated":"2026-08-26 12:49:55","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t<a href=\"https:\/\/routledgelearning.com\/researchmethods\" title=\"Home\">Home<\/a>\n<\/span><span class=\"aioseo-breadcrumb-separator\">\u203a<\/span><span class=\"aioseo-breadcrumb\">\n\t<a href=\"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/\" title=\"Student Resources\">Student Resources<\/a>\n<\/span><span class=\"aioseo-breadcrumb-separator\">\u203a<\/span><span class=\"aioseo-breadcrumb\">\n\tChapter 24 \u2013 ANOVA for repeated measures designs\n<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/routledgelearning.com\/researchmethods"},{"label":"Student Resources","link":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/"},{"label":"Chapter 24 &#8211; ANOVA for repeated measures designs","link":"https:\/\/routledgelearning.com\/researchmethods\/student-resources\/chapter-24-anova-for-repeated-measures-designs\/"}],"permalink_manager":null,"_links":{"self":[{"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/content\/116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/content"}],"about":[{"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/types\/content"}],"up":[{"embeddable":true,"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/content\/121"}],"wp:attachment":[{"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/media?parent=116"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/routledgelearning.com\/researchmethods\/wp-json\/wp\/v2\/categories?post=116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}