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Hardin, Andrew M.; Chang, Jerry Cha-Jan; Fuller, Mark A.; Torkzadeh, Gholamreza – Educational and Psychological Measurement, 2011
The use of causal indicators to formatively measure latent constructs appears to be on the rise, despite what appears to be a troubling lack of consistency in their application. Scholars in any discipline are responsible not only for advancing theoretical knowledge in their domain of study but also for addressing methodological issues that…
Descriptors: Structural Equation Models, Measurement, Statistical Data, Meta Analysis
Cheung, Mike W.-L.; Chan, Wai – Educational and Psychological Measurement, 2005
Researchers are becoming interested in combining meta-analytic techniques and structural equation modeling to test theoretical models from a pool of studies. Most existing procedures are based on the assumption that all correlation matrices are homogeneous. Few studies have addressed what the next step should be when studies being analyzed are…
Descriptors: Multivariate Analysis, Meta Analysis, Correlation, Structural Equation Models
Nugent, William R. – Educational and Psychological Measurement, 2006
One of the most important effect sizes used in meta-analysis is the standardized mean difference (SMD). In this article, the conditions under which SMD effect sizes based on different measures of the same construct are directly comparable are investigated. The results show that SMD effect sizes from different measures of the same construct are…
Descriptors: Effect Size, Meta Analysis, True Scores, Error of Measurement