scholarly journals Issues in solving the problem of effect size heterogeneity in meta-analytic structural equation modeling: A commentary and simulation study on Yu, Downes, Carter, and O’Boyle (2016).

2018 ◽  
Vol 103 (7) ◽  
pp. 787-803 ◽  
Author(s):  
Mike W.-L. Cheung
Keyword(s):  
Structural Equation Modeling ◽  
Simulation Study ◽  
Effect Size ◽  
Structural Equation ◽  
Equation Modeling ◽  
Size Heterogeneity

The problem of effect size heterogeneity in meta-analytic structural equation modeling.

2016 ◽  
Vol 101 (10) ◽  
pp. 1457-1473 ◽  
Author(s):  
Jia (Joya) Yu ◽  
Patrick E. Downes ◽  
Kameron M. Carter ◽  
Ernest H. O'Boyle
Keyword(s):  
Structural Equation Modeling ◽  
Effect Size ◽  
Structural Equation ◽  
Equation Modeling ◽  
Size Heterogeneity

scholarly journals Reliability for Tests With Items Having Different Numbers of Ordered Categories

2019 ◽  
Vol 44 (2) ◽  
pp. 137-149
Author(s):  
Seohyun Kim ◽  
Zhenqiu Lu ◽  
Allan S. Cohen
Keyword(s):  
Structural Equation Modeling ◽  
Simulation Study ◽  
Test Scores ◽  
Structural Equation ◽  
Reliability Coefficient ◽  
Coefficient Alpha ◽  
Equation Modeling ◽  
Ordered Categories

This study describes a structural equation modeling (SEM) approach to reliability for tests with items having different numbers of ordered categories. A simulation study is provided to compare the performance of this reliability coefficient, coefficient alpha and population reliability for tests having items with different numbers of ordered categories, a one-factor and a bifactor structures, and different skewness distributions of test scores. Results indicated that the proposed reliability coefficient was close to the population reliability in most conditions. An empirical example was used to illustrate the performance of the different coefficients for a test of items with two or three ordered categories.

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