{"id":9543,"date":"2022-10-15T02:55:03","date_gmt":"2022-10-15T02:55:03","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=9543"},"modified":"2022-10-17T15:35:44","modified_gmt":"2022-10-17T15:35:44","slug":"categorical-moderation-analysis-using-seminr","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/smartpls4-tutorial-series\/categorical-moderation-analysis-using-seminr\/","title":{"rendered":"Categorical Moderation Analysis using SEMinR"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"9543\" class=\"elementor elementor-9543\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-zdcnbl2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"zdcnbl2\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d4acc06\" data-id=\"d4acc06\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bee4950 elementor-widget elementor-widget-heading\" data-id=\"bee4950\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">How to Analyze Categorical Moderator in SEMinR?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-85jp2mz elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"85jp2mz\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-2b10226\" data-id=\"2b10226\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fc6092a elementor-widget elementor-widget-image\" data-id=\"fc6092a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/10\/SEMinR-Lecture-Series-33-Categorical-Moderation-using-SEMinR.png\" class=\"attachment-full size-full wp-image-9549\" alt=\"\" srcset=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/10\/SEMinR-Lecture-Series-33-Categorical-Moderation-using-SEMinR.png 1280w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/10\/SEMinR-Lecture-Series-33-Categorical-Moderation-using-SEMinR-300x169.png 300w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/10\/SEMinR-Lecture-Series-33-Categorical-Moderation-using-SEMinR-1024x576.png 1024w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/10\/SEMinR-Lecture-Series-33-Categorical-Moderation-using-SEMinR-768x432.png 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-1e8e919\" data-id=\"1e8e919\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-755d715 elementor-widget elementor-widget-heading\" data-id=\"755d715\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How to Analyze Categorical Moderator in SEMinR?<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da54622 elementor-widget-divider--separator-type-pattern elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"da54622\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\" style=\"--divider-pattern-url: url(&quot;data:image\/svg+xml,%3Csvg xmlns=&#039;http:\/\/www.w3.org\/2000\/svg&#039; preserveAspectRatio=&#039;none&#039; overflow=&#039;visible&#039; height=&#039;100%&#039; viewBox=&#039;0 0 24 24&#039; fill=&#039;black&#039; stroke=&#039;none&#039;%3E%3Cpolygon points=&#039;9.4,2 24,2 14.6,21.6 0,21.6&#039;\/%3E%3C\/svg%3E&quot;);\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf39eb3 elementor-widget elementor-widget-text-editor\" data-id=\"cf39eb3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>For Complete Step by Step SEMinR\u00a0 Tutorial Playlist, Click <a href=\"https:\/\/youtube.com\/playlist?list=PLb7vm6tsQ3Ks0TyMWw3EUlgoMr06_7U8S\">Here<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-i4g5bh7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"i4g5bh7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c927f23\" data-id=\"c927f23\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bf8264c elementor-widget elementor-widget-heading\" data-id=\"bf8264c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Moderation Analysis with Categorical Moderator using SEMinR?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-61ca281\" data-id=\"61ca281\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-338057a elementor-widget elementor-widget-text-editor\" data-id=\"338057a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div>The focus of the session is on how to perform moderation analysis using Categorical Moderators with Metric Independent and Dependent Variables.<\/div><div>In this example Type of Bank is taken as a Moderator. In the Model Private Banks are shown as the moderating categorical variable. The video and the code are presented for reference.<\/div><div>The code is to test the hypotheses, that Private sector banks have a stronger impact of Organizational Commitment on Collaborative Culture and similarly, in private sector bank the impact of Perceived Organizational Support on Collaborative Culture is stronger in comparison to public sector banks.<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e57ec0d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e57ec0d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-153a949\" data-id=\"153a949\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a0b1a44 elementor-widget elementor-widget-heading\" data-id=\"a0b1a44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How to Design and Analyze a Measurement Model in SmartPLS 4?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-fd595b5\" data-id=\"fd595b5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c35f4d6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c35f4d6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-4c052c0\" data-id=\"4c052c0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6d13fef elementor-widget elementor-widget-heading\" data-id=\"6d13fef\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Categorical Moderator SEMinR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-17b23f5\" data-id=\"17b23f5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b5077d0 elementor-widget elementor-widget-text-editor\" data-id=\"b5077d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>H1:<\/strong> Type of Bank Moderates the Relationship between Organizational Commitment and Organizational Culture such that Private Sector Banks have a stronger impact of Organizational Commitment on Organizational Culture.<br \/><strong>H2:<\/strong> Type of Bank Moderates the Relationship between Perceived Organizational Support and Organizational Culture such that Private Sector Banks have a stronger impact of Perceived Organizational Support on Organizational Culture.<\/p><p><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"\" \/><\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4df1332 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4df1332\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-da5abcd\" data-id=\"da5abcd\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9f93fe8 elementor-widget elementor-widget-heading\" data-id=\"9f93fe8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Steps in Interpreting Categorical Moderation Analysis in SEMinR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-1426d7b\" data-id=\"1426d7b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b7f60f1 elementor-widget elementor-widget-text-editor\" data-id=\"b7f60f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>In order to clearly identify how the interaction differs in terms of the groups, including the size and precise nature of the effect, we shall draw an interaction plot.<\/li><li>Review the Steepness of the Line.<\/li><li>The group where steepness is higher, the impact if stronger.<\/li><li><a href=\"http:\/\/www.jeremydawson.co.uk\/2-way_with_binary_moderator.xls\">Download Link<\/a> <\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ee5f7e3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ee5f7e3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-393067a\" data-id=\"393067a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-356d923 elementor-widget elementor-widget-heading\" data-id=\"356d923\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Sample Interpretation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-b327f83\" data-id=\"b327f83\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5bf3c44 elementor-widget elementor-widget-text-editor\" data-id=\"5bf3c44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>For H1: Type of Bank Moderates the Relationship between Organizational Commitment and Organizational Culture such that Private Sector Banks have a stronger impact of Organizational Commitment on Organizational Culture.<\/b><\/p><p>The results revealed a significant moderating role of Type of Bank on the relationship between OC and Collaborative Culture. The plot shows a steeper and positive gradient for private sector banks as compared to public sector banks. Thus, this shows that the impact of OC in fostering collaborative culture is stronger in private banks as compared to public sector banks. Hence, H1 is supported.<\/p><p><b>\u00a0<\/b><\/p><p><strong>H2: Type of Bank Moderates the Relationship between Perceived Organizational Support and Organizational Culture such that Private Sector Banks have a stronger impact of Perceived Organizational Support on Organizational Culture.<\/strong><\/p><p>The results revealed a significant moderating role of Type of Bank on the relationship between POS and Collaborative Culture. The plot shows a steeper and positive gradient for public sector banks as compared to private sector banks. Thus, this shows that the impact of POS in fostering collaborative culture is stronger in public sector banks as compared to private sector banks. Hence, H2 is not supported.<\/p><p><strong>\u00a0<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-49245f5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"49245f5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-e780c0e\" data-id=\"e780c0e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cce984d elementor-widget elementor-widget-heading\" data-id=\"cce984d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Video<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-5a782e6\" data-id=\"5a782e6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f15517a elementor-widget elementor-widget-video\" data-id=\"f15517a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/GOAhmOeckbA&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6107b3f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6107b3f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-aebb55f\" data-id=\"aebb55f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-54185a5 elementor-widget elementor-widget-heading\" data-id=\"54185a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Reference<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-a2417e7\" data-id=\"a2417e7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-206ba09 elementor-widget elementor-widget-text-editor\" data-id=\"206ba09\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"gs_citr\" tabindex=\"0\">Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., &amp; Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook.<\/div><div tabindex=\"0\">\u00a0<\/div><div tabindex=\"0\">To Download the Book, Click <a href=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-030-80519-7\">Here<\/a><\/div><div tabindex=\"0\">\u00a0<\/div><div tabindex=\"0\">This book is licensed under the terms of the Creative Commons Attribution 4.0 International<br \/>License (<a href=\"http:\/\/creativecommons.org\/licenses\/by\/4.0\/\">http:\/\/creativecommons.org\/licenses\/by\/4.0\/<\/a>)<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1e2af390 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1e2af390\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-3b89546\" data-id=\"3b89546\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3e3db7ea elementor-widget elementor-widget-heading\" data-id=\"3e3db7ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Additional SEMinR Tutorials<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-16b92ecc\" data-id=\"16b92ecc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-30047c2a elementor-widget elementor-widget-wp-widget-ccchildpages_widget\" data-id=\"30047c2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wp-widget-ccchildpages_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul><li class=\"page_item page-item-7498 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/an-introduction-to-r-and-r-studio\/\" class=\"menu-link\">An Introduction to R and R Studio<\/a><\/li>\n<li class=\"page_item page-item-7539 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/an-introduction-to-seminr-package\/\" class=\"menu-link\">An Introduction to SEMinR Package<\/a><\/li>\n<li class=\"page_item page-item-7645 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/create-project-load-and-inspect-the-data\/\" class=\"menu-link\">Create Project, Load, and Inspect the Data<\/a><\/li>\n<li class=\"page_item page-item-7938 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-an-introduction-to-evaluating-formative-measurement-model\/\" class=\"menu-link\">SEMinR Package: An Introduction to Evaluating Formative Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-8491 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-categorical-predictors\/\" class=\"menu-link\">SEMinR Package: Analyzing Categorical Predictor Variables<\/a><\/li>\n<li class=\"page_item page-item-7773 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-bootstrapping-pls-model\/\" class=\"menu-link\">SEMinR Package: Bootstrapping PLS Model<\/a><\/li>\n<li class=\"page_item page-item-7952 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-formative-measurement-model-convergent-validity-and-collinearity\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; Convergent Validity and Collinearity<\/a><\/li>\n<li class=\"page_item page-item-7971 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-indicator-weights\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; Step 3- Indicator Weights<\/a><\/li>\n<li class=\"page_item page-item-8007 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-formative-measurement-model-when-to-delete-formative-indicators\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; When to Delete Formative Indicators<\/a><\/li>\n<li class=\"page_item page-item-7850 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-reflective-measurement-model\/\" class=\"menu-link\">SEMinR Package: Evaluating Reflective Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-8024 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-structural-model\/\" class=\"menu-link\">SEMinR Package: Evaluating Structural Model<\/a><\/li>\n<li class=\"page_item page-item-8071 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-structural-model-step-4-predictive-power-plspredict\/\" class=\"menu-link\">SEMinR Package: Evaluating Structural Model &#8211; Step 4: Predictive Power (PLSPredict)<\/a><\/li>\n<li class=\"page_item page-item-8176 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-higher-order-analysis-ref-for\/\" class=\"menu-link\">SEMinR Package: Higher Order Analysis &#8211; REF-FOR<\/a><\/li>\n<li class=\"page_item page-item-8145 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-higher-order-analysis-ref-ref\/\" class=\"menu-link\">SEMinR Package: Higher Order Analysis &#8211; REF-REF<\/a><\/li>\n<li class=\"page_item page-item-8417 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-how-to-solve-convergent-and-discriminant-validity-problems\/\" class=\"menu-link\">SEMinR Package: How to Solve Convergent and Discriminant Validity Problems<\/a><\/li>\n<li class=\"page_item page-item-8097 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-mediation-analysis\/\" class=\"menu-link\">SEMinR Package: Mediation Analysis<\/a><\/li>\n<li class=\"page_item page-item-8124 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-moderation-analysis\/\" class=\"menu-link\">SEMinR Package: Moderation Analysis<\/a><\/li>\n<li class=\"page_item page-item-7727 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-pls-estimation\/\" class=\"menu-link\">SEMinR Package: PLS Estimation<\/a><\/li>\n<li class=\"page_item page-item-7601 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-plotting-printing-exporting-results\/\" class=\"menu-link\">SEMinR Package: Print, Export and Plot Results<\/a><\/li>\n<li class=\"page_item page-item-7873 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-reflective-measurement-model-step-2-consistency-and-step-3-convergent-validity\/\" class=\"menu-link\">SEMinR Package: Reflective Measurement Model Step 2: Consistency and Step 3: Convergent Validity<\/a><\/li>\n<li class=\"page_item page-item-7902 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-reflective-model-discriminant-validity\/\" class=\"menu-link\">SEMinR Package: Reflective Measurement Model Step 4: Discriminant Validity<\/a><\/li>\n<li class=\"page_item page-item-7836 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-single-item-smartpls-comparison-and-summary-of-seminr\/\" class=\"menu-link\">SEMinR Package: Single Item, SmartPLS Comparison and Summary of SEMinR<\/a><\/li>\n<li class=\"page_item page-item-7669 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-specifying-measurement-model\/\" class=\"menu-link\">SEMinR Package: Specifying Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-7691 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-specifying-the-structural-model\/\" class=\"menu-link\">SEMinR Package: Specifying the Structural Model<\/a><\/li>\n<\/ul>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>How to Analyze Categorical Moderator in SEMinR? How to Analyze Categorical Moderator in SEMinR? For Complete Step by Step SEMinR\u00a0 Tutorial Playlist, Click Here Moderation Analysis with Categorical Moderator using SEMinR? The focus of the session is on how to perform moderation analysis using Categorical Moderators with Metric Independent and Dependent Variables.In this example Type [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":8833,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-9543","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Categorical Moderation Analysis using SEMinR - ResearchWithFawad<\/title>\n<meta name=\"description\" content=\"Moderation Analysis using SEMinR. The session focuses on how to assesses a moderating relationship using categorical moderating in SEMinR\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/smartpls4-tutorial-series\/categorical-moderation-analysis-using-seminr\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Categorical Moderation Analysis using SEMinR - ResearchWithFawad\" \/>\n<meta property=\"og:description\" content=\"Moderation Analysis using SEMinR. 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