{"id":3267,"date":"2021-08-26T09:58:10","date_gmt":"2021-08-26T09:58:10","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=3267"},"modified":"2021-09-11T05:34:48","modified_gmt":"2021-09-11T05:34:48","slug":"categorical-predictor-variable-using-smart-pls","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/categorical-predictor-variable-using-smart-pls\/","title":{"rendered":"Categorical Predictor Variable using SMART-PLS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3267\" class=\"elementor elementor-3267\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sfy76qv elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sfy76qv\" 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-80293b9\" data-id=\"80293b9\" 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-de8583b elementor-widget elementor-widget-heading\" data-id=\"de8583b\" 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\">Categorical Predictor Variables using SMART-PLS<\/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-e7201rr elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e7201rr\" 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-85b149e\" data-id=\"85b149e\" 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-f1cecd6 elementor-widget elementor-widget-heading\" data-id=\"f1cecd6\" 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 Predictors in SMART-PLS\n<\/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-39c4fce\" data-id=\"39c4fce\" 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-dba6bdb elementor-widget elementor-widget-text-editor\" data-id=\"dba6bdb\" 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>Sometimes scholar(s) may need to include categorical predictor variables in their model. It is important to note that the categorical variables cannot be directly added to the model. Since the categories are represented by numbers and increase or decrease in the numbers do not depict an increase or decrease in the endogenous variable, the categories in the variable will have to be transformed. Here are the steps that one should follow when using categorical variables in SMART-PLS<\/p><ul><li>Create Dummy Variables for the categories in the variable. For example, let&#8217;s assume we have a variable Job Rank with three categories (Junior, Middle, Senior). Now we need to create two dummy variables (n-1). Although SPSS will give us three dummy variables, we will only add two in our model, the third one will serve as a reference category. The coefficients (effect) of the dummy variable are compared to the reference category.\u00a0 (Procedure to create dummy variables is explained in detail in the video at the end of the notes.)<\/li><li>Once, the dummy variables are created, for example there were three categories, and we created three dummy variables. Out of those three we only need to add two onto our model. In this case we add <strong>Middle and Senior. <\/strong>We are interested in assessing the impact of job rank on Commitment. The model will look like<\/li><\/ul><div><div><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter\" 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\" alt=\"SMART-PLS Model with Categorical Predictor Variables\" width=\"554\" height=\"267\" \/><\/div><\/div><ul><li>Next, Run Bootstrapping procedure, make sure you select path from weighting scheme. Here are the results from bootstrapping<\/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-afcb582 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"afcb582\" 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-f2502a0\" data-id=\"f2502a0\" 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-120b574 elementor-widget elementor-widget-heading\" data-id=\"120b574\" 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\">Interpretation\n<\/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-1b5872b\" data-id=\"1b5872b\" 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-a220da8 elementor-widget elementor-widget-text-editor\" data-id=\"a220da8\" 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><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"SMART-PLS Bootstrapping Results\" width=\"479\" height=\"119\" \/><\/p><ul><li>The results show that Middle level employees do not have a significantly different impact on commitment than the reference category (Junior Level), However the Senior level employees have a higher level of commitment in comparison to Junior Level Employees (+ive Coefficient). If this would have been a negative sign with the coefficient, we would have interpreted it as, Senior level employees have lower commitment in comparison to the reference category (Junior Level Employees). This shows that job rank partially affect the employee commitment, since one of the job rank was found insignificant. <\/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-53c2e78 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"53c2e78\" 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-100 elementor-top-column elementor-element elementor-element-5520195\" data-id=\"5520195\" 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-c642336 elementor-widget elementor-widget-heading\" data-id=\"c642336\" 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<h4 class=\"elementor-heading-title elementor-size-default\">For Step by Step Guide on how to use Categorical Predictors in SMART-PLS, Watch this video<\/h4>\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-df5yzz6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"df5yzz6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&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-100 elementor-top-column elementor-element elementor-element-da37464\" data-id=\"da37464\" 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-cc70371 elementor-widget elementor-widget-video\" data-id=\"cc70371\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/YN0I8Dy7Alk&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-62d38d13 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"62d38d13\" 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-100 elementor-top-column elementor-element elementor-element-289adbc2\" data-id=\"289adbc2\" 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-74293074 elementor-widget elementor-widget-wp-widget-ccchildpages_widget\" data-id=\"74293074\" 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<h5>Other SmartPLS Tutorials<\/h5><ul><li class=\"page_item page-item-2953 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/how-to-start-data-analysis-using-smart-pls\/\" class=\"menu-link\">How to Start Data Analysis using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3025 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/understanding-convergent-and-discriminant-validity-using-smart-pls\/\" class=\"menu-link\">Understanding Convergent and Discriminant Validity using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3068 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/reporting-measurement-and-structural-model-in-smart-pls\/\" class=\"menu-link\">Reporting Measurement and Structural Model in SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3102 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/understanding-r-square-f-square-and-q-square-using-smart-pls\/\" class=\"menu-link\">Understanding R Square, F Square, and Q Square using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3128 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/moderation-analysis-interpretation-and-reporting-using-smart-pls\/\" class=\"menu-link\">Moderation Analysis, Interpretation, and Reporting using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3152 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/moderation-analysis-with-categorical-variables-using-smart-pls\/\" class=\"menu-link\">Moderation Analysis with Categorical Variables using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3205 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/mediation-analysis-interpretation-and-reporting-using-smart-pls\/\" class=\"menu-link\">Mediation Analysis, Interpretation, and Reporting using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3309 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/concept-of-higher-order-constructs-in-pls-sem\/\" class=\"menu-link\">Concept of Higher-Order Constructs in PLS-SEM<\/a><\/li>\n<li class=\"page_item page-item-3356 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/reflective-vs-formative-indicators-the-concept-and-differences\/\" class=\"menu-link\">Reflective Vs Formative Indicators: The Concept and Differences<\/a><\/li>\n<li class=\"page_item page-item-3397 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/validating-formative-indicators-using-smart-pls\/\" class=\"menu-link\">Validating Formative Indicators using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3423 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/reflective-formative-higher-order-construct-using-smart-pls\/\" class=\"menu-link\">Reflective-Formative Higher-Order Construct using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3458 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/reflective-reflective-higher-order-construct-using-smart-pls\/\" class=\"menu-link\">Reflective-Reflective Higher-Order Construct using SMART-PLS<\/a><\/li>\n<li class=\"page_item page-item-3515 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/how-to-structure-format-and-report-smart-pls-sem-results\/\" class=\"menu-link\">How to Structure, Format, and Report SMART PLS-SEM Results<\/a><\/li>\n<li class=\"page_item page-item-5116 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/how-to-solve-issues-in-convergent-and-discriminant-validity\/\" class=\"menu-link\">How to Solve Convergent and Discriminant Validity Issues<\/a><\/li>\n<li class=\"page_item page-item-5446 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/complex-higher-order-model-using-smartpls\/\" class=\"menu-link\">Complex Higher-Order Model using SmartPLS<\/a><\/li>\n<li class=\"page_item page-item-6872 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/analyzing-formative-formative-higher-order-construct-in-smartpls\/\" class=\"menu-link\">Analyzing Formative-Formative Higher-Order Construct in SmartPLS<\/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>Categorical Predictor Variables using SMART-PLS Categorical Predictors in SMART-PLS Sometimes scholar(s) may need to include categorical predictor variables in their model. It is important to note that the categorical variables cannot be directly added to the model. Since the categories are represented by numbers and increase or decrease in the numbers do not depict an [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2939,"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 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