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- W4285020326 abstract "Despite the diversity of studies related to PLS-SEM, there is no study showing how to deal with the results of PLS-SEM in empirical studies. Therefore, this study aims to explain how to deal with the results of PLS-SEM briefly in order to facilitate the procedure for researchers. This study presented a hypothetical example in order to clarify the tests systematically. The example consists of two variables are human resource management practices as the independent variable and organizational performance as the dependent variable. The results of the analysis using the software of SmartPLS include three main steps namely initial description of the data, measurement model assessment, and structural model assessment. SmartPLS provides values for each predefined indicator including missing, mean, median, minimum, maximum, standard deviation, excess kurtosis, and skewness. The measurement model assessment includes three main aspects namely internal consistency reliability, convergent validity, and discriminant validity based on HTMT criterion. The structural model assessment includes four main aspects namely coefficient of determination, cross-validated redundancy, effect sizes, and path coefficients." @default.
- W4285020326 created "2022-07-12" @default.
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- W4285020326 date "2022-07-13" @default.
- W4285020326 modified "2023-09-25" @default.
- W4285020326 title "How to Deal with the Results of PLS-SEM?" @default.
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- W4285020326 doi "https://doi.org/10.1007/978-3-031-08954-1_101" @default.
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