Latent Variable Modeling and Cross-National Differences in College-Level Academic Performance

Steven A. Hecht

doi:10.1016/S0883-0355(01)00039-8

Latent Variable Modeling and Cross-National Differences in College-Level Academic Performance

Steven A. Hecht

Research output: Contribution to journal › Article › peer-review

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Abstract

This chapter offers a critique of the latent variable modeling approach taken by Ransdell et al. Suggestions for improving the analytical strategy are described, including the use of confirmatory factor analysis in conjunction with structural equation modeling. The chapter concludes with some examples of confirmatory factor analysis and structural equation modeling from other data sets in order to demonstrate each technique's advantages and disadvantages. Finally, several directions for future research, including the use of longitudinal methods, are suggested in order to help constrain the direction of causative links between academic performance and its predictors.

Original language	American English
Journal	International Journal of Educational Research
Volume	35
DOIs	https://doi.org/10.1016/S0883-0355(01)00039-8
State	Published - Nov 1 2001

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Education

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title = "Latent Variable Modeling and Cross-National Differences in College-Level Academic Performance",

abstract = " This chapter offers a critique of the latent variable modeling approach taken by Ransdell et al. Suggestions for improving the analytical strategy are described, including the use of confirmatory factor analysis in conjunction with structural equation modeling. The chapter concludes with some examples of confirmatory factor analysis and structural equation modeling from other data sets in order to demonstrate each technique's advantages and disadvantages. Finally, several directions for future research, including the use of longitudinal methods, are suggested in order to help constrain the direction of causative links between academic performance and its predictors.",

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AB - This chapter offers a critique of the latent variable modeling approach taken by Ransdell et al. Suggestions for improving the analytical strategy are described, including the use of confirmatory factor analysis in conjunction with structural equation modeling. The chapter concludes with some examples of confirmatory factor analysis and structural equation modeling from other data sets in order to demonstrate each technique's advantages and disadvantages. Finally, several directions for future research, including the use of longitudinal methods, are suggested in order to help constrain the direction of causative links between academic performance and its predictors.

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JF - International Journal of Educational Research

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Latent Variable Modeling and Cross-National Differences in College-Level Academic Performance

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