2021
DOI: 10.1002/hrdq.21466
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PLS‐SEM: Prediction‐oriented solutions for HRD researchers

Abstract: Structural equation modeling, often referred to as SEM, is a well‐established, covariance‐based multivariate method used in Human Resource Development (HRD) quantitative research. In some research contexts, however, the rigorous assumptions associated with covariance‐based SEM (CB‐SEM) limit applications of the method. An emergent complementary SEM approach, partial least squares structural equation modeling (PLS‐SEM), is a variance‐based SEM method that provides valid solutions and overcomes several limitatio… Show more

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Cited by 68 publications
(66 citation statements)
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References 81 publications
(195 reference statements)
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“…After the results computation, authors should report the criteria for reflective and formative measurement model assessment and the structural model. Several articles and textbooks provide overviews of which PLS-SEM results and criteria should be reported and how [69][70][71] . Table 1 provides a summary of key criteria as discussed in, for example, Hair, Hult, Ringle and Sarstedt [43] .…”
Section: Everything Pls-sem Once the Model Standsmentioning
confidence: 99%
“…After the results computation, authors should report the criteria for reflective and formative measurement model assessment and the structural model. Several articles and textbooks provide overviews of which PLS-SEM results and criteria should be reported and how [69][70][71] . Table 1 provides a summary of key criteria as discussed in, for example, Hair, Hult, Ringle and Sarstedt [43] .…”
Section: Everything Pls-sem Once the Model Standsmentioning
confidence: 99%
“…We performed a confirmatory factor analysis (CFA) to check the reliability and construct validity of the measurement scales. All the alpha coefficient, composite reliability, and average variance extracted (AVE) values exceeded the threshold of 0.7, 0.7, and 0.5, respectively [ 41 ]. For the determination of convergent validity, factor loading of the scale indicators on their corresponding factors was evaluated.…”
Section: Evaluation Of the Measurement Modelmentioning
confidence: 99%
“…For the determination of convergent validity, factor loading of the scale indicators on their corresponding factors was evaluated. All the factor loadings of the scale indicators crossed the recommended value of >0.7 [ 41 ], showing the strong correlation with their respective constructs. The factor loading of only one item, EC10 (i.e., 0.667), was below the threshold level of >0.7.…”
Section: Evaluation Of the Measurement Modelmentioning
confidence: 99%
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“…Confirmatory factor analysis (CFA) was performed to evaluate the properties of the estimating scale. We computed alpha coefficients (> 0.7), average variance extracted (AVE >0.50), and composite reliability (CR >0.7) to evaluate the goodness of the measuring scale (Legate et al, 2021). For descriptive statistics (See Table 1).…”
Section: Estimation Of Measurement Modelmentioning
confidence: 99%