[{"data":1,"prerenderedAt":214},["ShallowReactive",2],{"content-query-GQ8yJErswp":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"layout":10,"body":11,"_type":208,"_id":209,"_source":210,"_file":211,"_extension":212,"sitemap":213},"/documentation/algorithms-and-techniques/heterogeneity-and-multigroup/consistent-multigroup-analysis","heterogeneity-and-multigroup",false,"","Consistent Multigroup Analysis (MGA) in SmartPLS","Consistent multigroup analysis applies MGA to models estimated with consistent PLS-SEM (PLSc-SEM). Learn how it differs from standard MGA and when to use it.","algorithm-description",{"type":12,"children":13,"toc":195},"root",[14,23,46,53,73,79,84,90,97,102,108,113,119,124,130,177,183],{"type":15,"tag":16,"props":17,"children":19},"element","h1",{"id":18},"consistent-multigroup-analysis-mga",[20],{"type":21,"value":22},"text","Consistent Multigroup Analysis (MGA)",{"type":15,"tag":24,"props":25,"children":26},"p",{},[27,29,36,38,44],{"type":21,"value":28},"Consistent multigroup analysis is the ",{"type":15,"tag":30,"props":31,"children":33},"a",{"href":32},"/documentation/algorithms-and-techniques/heterogeneity-and-multigroup/multigroup-analysis",[34],{"type":21,"value":35},"multigroup analysis (MGA)",{"type":21,"value":37}," procedure applied to models estimated with the ",{"type":15,"tag":30,"props":39,"children":41},{"href":40},"/documentation/algorithms-and-techniques/core-algorithm/consistent-pls",[42],{"type":21,"value":43},"consistent PLS-SEM (PLSc-SEM)",{"type":21,"value":45}," algorithm rather than the standard PLS-SEM algorithm. Like standard MGA, it lets researchers test whether pre-defined data groups, such as countries or customer segments, differ significantly in their group-specific parameter estimates. Researchers use consistent MGA when their model has been estimated with PLSc-SEM and they need a group comparison based on the disattenuated, factor-consistent PLSc-SEM estimates rather than standard PLS-SEM results.",{"type":15,"tag":47,"props":48,"children":50},"h2",{"id":49},"how-consistent-multigroup-analysis-works",[51],{"type":21,"value":52},"How Consistent Multigroup Analysis Works",{"type":15,"tag":24,"props":54,"children":55},{},[56,58,64,66,71],{"type":21,"value":57},"Consistent MGA follows the same logic as standard MGA: group-specific results are compared using the ",{"type":15,"tag":30,"props":59,"children":61},{"href":60},"/documentation/algorithms-and-techniques/resampling-and-inference/consistent-permutation",[62],{"type":21,"value":63},"permutation procedure",{"type":21,"value":65}," or bootstrapping-based tests (bias-corrected confidence intervals, the PLS-MGA test, a parametric test, and the Welch-Satterthwaite test). The key difference is that every group-specific estimation underlying these tests is computed with the consistent PLS-SEM (PLSc-SEM) algorithm instead of the standard PLS-SEM algorithm, so the resulting comparisons reflect the disattenuated, factor-consistent parameter estimates that PLSc-SEM produces. As with standard MGA, group comparisons are only meaningful once measurement invariance has been established; the ",{"type":15,"tag":30,"props":67,"children":68},{"href":60},[69],{"type":21,"value":70},"consistent permutation",{"type":21,"value":72}," procedure supports the MICOM test for PLSc-SEM models.",{"type":15,"tag":47,"props":74,"children":76},{"id":75},"in-smartpls",[77],{"type":21,"value":78},"In SmartPLS",{"type":15,"tag":24,"props":80,"children":81},{},[82],{"type":21,"value":83},"In SmartPLS, consistent MGA is available whenever a multigroup comparison is run on a model that uses the PLSc-SEM algorithm. It offers the same group-selection and significance-testing settings as standard MGA, applied on top of the PLSc-SEM estimation for each group.",{"type":15,"tag":47,"props":85,"children":87},{"id":86},"frequently-asked-questions",[88],{"type":21,"value":89},"Frequently Asked Questions",{"type":15,"tag":91,"props":92,"children":94},"h3",{"id":93},"what-is-the-difference-between-mga-and-consistent-mga",[95],{"type":21,"value":96},"What is the difference between MGA and consistent MGA?",{"type":15,"tag":24,"props":98,"children":99},{},[100],{"type":21,"value":101},"Standard MGA compares group-specific results from the standard PLS-SEM algorithm. Consistent MGA applies the same comparison logic, but each group is estimated with the consistent PLS-SEM (PLSc-SEM) algorithm, so it is used for group comparisons in PLSc-SEM models.",{"type":15,"tag":91,"props":103,"children":105},{"id":104},"when-should-i-use-consistent-mga-instead-of-standard-mga",[106],{"type":21,"value":107},"When should I use consistent MGA instead of standard MGA?",{"type":15,"tag":24,"props":109,"children":110},{},[111],{"type":21,"value":112},"Use consistent MGA when your model has been estimated with PLSc-SEM. Since PLSc-SEM produces different (factor-consistent) parameter estimates than standard PLS-SEM, group comparisons for such a model should also be based on PLSc-SEM re-estimations.",{"type":15,"tag":91,"props":114,"children":116},{"id":115},"do-i-still-need-to-check-measurement-invariance-before-running-a-consistent-mga",[117],{"type":21,"value":118},"Do I still need to check measurement invariance before running a consistent MGA?",{"type":15,"tag":24,"props":120,"children":121},{},[122],{"type":21,"value":123},"Yes. As with standard MGA, group comparisons are only meaningful once measurement invariance has been established. 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