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Applications of structural equation modeling in psychological research
1Ohio State University, Department of Psychology, Columbus 43210-1222, USA. maccallum.1@osu.edu
Annual Review of Psychology
|February 7, 2001
Summary
Structural equation modeling (SEM) is a powerful tool in psychological research, but its application has chronic problems. Improving the applied SEM literature requires greater attention to methodological issues and best practices.
Area of Science:
- Psychological Research
- Quantitative Methods
Background:
- Structural Equation Modeling (SEM) is increasingly utilized in psychological research.
- Recent literature shows diverse applications of SEM across various psychological domains.
Purpose of the Study:
- To review recent applications of Structural Equation Modeling (SEM) in psychological research.
- To identify productive uses and methodological concerns within the applied SEM literature.
Main Methods:
- Systematic review of published articles in psychological research journals.
- Analysis of research designs and substantive issues addressed by SEM.
- Identification of methodological problems and areas for improvement.
Main Results:
- SEM is applied to a wide range of research designs and substantive issues in psychology.
- The applied SEM literature exhibits recurring methodological problems and areas of concern.
- Despite its power, the quality of applied SEM can be significantly enhanced.
Conclusions:
- Structural Equation Modeling (SEM) offers substantial benefits to psychological research.
- Addressing chronic methodological issues is crucial for improving the quality of applied SEM literature.
- Greater attention to methodological rigor will enhance the utility and validity of SEM findings.