{"id":3128,"date":"2021-08-25T12:01:12","date_gmt":"2021-08-25T12:01:12","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=3128"},"modified":"2021-09-11T05:32:07","modified_gmt":"2021-09-11T05:32:07","slug":"moderation-analysis-interpretation-and-reporting-using-smart-pls","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/moderation-analysis-interpretation-and-reporting-using-smart-pls\/","title":{"rendered":"Moderation Analysis, Interpretation, and Reporting using SMART-PLS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3128\" class=\"elementor elementor-3128\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6csyl6x elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6csyl6x\" 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\">Moderation Analysis using SMART-PLS<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6c15a5 elementor-widget elementor-widget-text-editor\" data-id=\"b6c15a5\" 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>Learn to use Moderation Analysis using SMART-PLS.<\/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-xb8qa1r elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"xb8qa1r\" 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\">What is a Moderating Variable?<\/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<ul><li>A moderating variable is the one that modifies the existing relationship between the independent and dependent variable I-e it holds a strong contingent effect on the association of IV and DV<\/li><li>Although, MV is not influenced by IV but affects the strength and direction of the relationship between IV and DV.<\/li><li>For instance the theory suggests that <b>Dissatisfaction at work<\/b> leads to <b>Turnover<\/b>, however this might not be true in developing countries like Pakistan. The reason could be attributed to lack of <b>Job Opportunities<\/b>.<\/li><li>Now in this particular case <b>Job Opportunities<\/b> is modifying the existing expected relationship between the <b>IV<\/b> (Dissatisfaction at work) and <b>DV<\/b> (Turnover) as naturally if someone is dissatisfied at work, he\/she would think of moving to some other job. So we would say that <b>Job Opportunities<\/b> is a <b>MV<\/b>.<\/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-53dcc5f elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"53dcc5f\" 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-a73ba25\" data-id=\"a73ba25\" 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-55c74b7 elementor-widget elementor-widget-heading\" data-id=\"55c74b7\" 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\">What is a Moderation?<\/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-ddc6c01\" data-id=\"ddc6c01\" 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-650791a elementor-widget elementor-widget-text-editor\" data-id=\"650791a\" 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>When moderation is present, the strength or even the direction of a relationship between two constructs depends on a third variable.<\/li><li>Moderation describes a situation in which the relationship between two constructs is not constant but depends on the values of a third variable, referred to as a moderator variable.<\/li><li>As was the case in the last example, where job opportunities weakened the relationship.<\/li><li>In other words, the nature of the relationship differs depending on the values of the third variable.<\/li><li><p>A moderation hypothesis can be represented in a diagram as<\/p><\/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-x8j05rz elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"x8j05rz\" 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 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alt=\"\" \/><\/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-6bbeb68 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6bbeb68\" 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-009d681\" data-id=\"009d681\" 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-50c805d elementor-widget elementor-widget-text-editor\" data-id=\"50c805d\" 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<h3>Reporting Moderation Analysis<\/h3>\n<p>H1: Community Hostility Moderates the relationship between Servant Leadership and Role Conflict such that a higher level of community hostility would strengthen the negative relationship between Servant Leadership and Role Conflict.<\/p>\n<p>The hypothesis sought to ascertain the moderating role of CH between SL and RC. The results revealed that CH moderates the relationship between SL and RC (B = .244, t = 3.431, p &lt; .001). However, the results reveal (see figure 1), that at higher CH, the SL fails to impact RC. The results revealed that at lower CH, SL was found to have a stronger impact on RC.<\/p><p><img decoding=\"async\" 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\" alt=\"\"><\/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-6a2ab41 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6a2ab41\" 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-061e6fe\" data-id=\"061e6fe\" 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-193aaad elementor-widget elementor-widget-heading\" data-id=\"193aaad\" 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\">Watch the Video Tutorial to Learn how to perform Moderation in SMART-PLS<\/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-5093618 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5093618\" 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-50 elementor-top-column elementor-element elementor-element-97a405e\" data-id=\"97a405e\" 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-f9125e3 elementor-widget elementor-widget-video\" data-id=\"f9125e3\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/S7_37sMSDno&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<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-12052c6\" data-id=\"12052c6\" 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-82e8d60 elementor-widget elementor-widget-video\" data-id=\"82e8d60\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/dVM6NX0DLUo&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-16c8b516 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16c8b516\" 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-6b645735\" data-id=\"6b645735\" 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-1e97b2ff elementor-widget elementor-widget-wp-widget-ccchildpages_widget\" data-id=\"1e97b2ff\" 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-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-3267 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/basic-and-advance-data-analysis-using-smart-pls\/categorical-predictor-variable-using-smart-pls\/\" class=\"menu-link\">Categorical Predictor Variable 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>Moderation Analysis using SMART-PLS Learn to use Moderation Analysis using SMART-PLS. What is a Moderating Variable? A moderating variable is the one that modifies the existing relationship between the independent and dependent variable I-e it holds a strong contingent effect on the association of IV and DV Although, MV is not influenced by IV but [&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 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 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