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      Partial Least Squares Path Modeling 

      Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process

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      Springer International Publishing

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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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            A new criterion for assessing discriminant validity in variance-based structural equation modeling

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              PLS-SEM: Indeed a Silver Bullet

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                Author and book information

                Book Chapter
                2017
                August 14 2017
                : 219-243
                10.1007/978-3-319-64069-3_10
                fadd3f98-24b3-4f2b-9315-a557bda185a7
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