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New Effect Size Measures for Structural Equation Modeling
Brenna Gomer, Ge Jiang, Ke-hai Yuan
Educational Psychology
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Dive into the research topics of 'New Effect Size Measures for Structural Equation Modeling'. Together they form a unique fingerprint.
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Keyphrases
Partial Least Squares Structural Equation Modeling (PLS-SEM)
100%
Effect Size Estimation
100%
Model Misspecification
66%
Cohen's d
50%
Test Statistic
33%
First-in-class
33%
Monte Carlo Results
16%
Maximum Likelihood Estimation
16%
Distribution-based
16%
Misfit
16%
Population Distribution
16%
Type I Error
16%
Normality
16%
Fit Indices
16%
Distributional Hypothesis
16%
Second Class
16%
Distribution Metric
16%
Root Mean Square Error of Approximation
16%
Original Form
16%
Discrepancy Function
16%
Robust M-estimation
16%
Non-central chi-square Distribution
16%
Mathematics
Effect Size
100%
Structural Equation Modeling
100%
Model Misspecification
57%
Test Statistic
28%
Mean Square Error
14%
Gaussian Distribution
14%
Monte Carlo
14%
Maximum Likelihood Estimation
14%
Chi-Square Distribution
14%
Fit Index
14%
Population Distribution
14%
M-Estimation
14%
Distributional Assumption
14%
Discrepancy Function
14%
Assumed Distribution
14%