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Rationale and Applicability of Exploratory Structural Equation Modeling (ESEM) in psychoeducational contexts
Cristiano M Assis Gomes1, Leandro S Almeida, José C Núñez
1Universidade Federal de Minas Gerais.
Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) offer distinct advantages for psychological test validation. Combining CFA and ESEM provides richer insights into structural validity, enhancing psychological assessment practices.
Area of Science:
- Psychometrics
- Educational Psychology
Background:
- Confirmatory Factor Analysis (CFA) is widely used for structural validation of psychological tests.
- CFA's constraints on latent variable loadings can limit solutions.
- Exploratory Structural Equation Modeling (ESEM) allows cross-loadings, better reflecting psychological attribute functioning.
Purpose of the Study:
- To compare CFA and ESEM for structural validity assessment.
- To evaluate the benefits of integrating both methodologies.
Main Methods:
- Structural validity analysis comparing CFA and ESEM.
- Utilized data from 2,478 first-year higher education students.
- Employed a multidimensional questionnaire on academic expectations.
Main Results:
- Combining CFA and ESEM yielded significant gains in collected information.
- ESEM demonstrated a more nuanced approach to structural validation.
Conclusions:
- Integrating CFA and ESEM enhances the structural validation of psychological assessments.
- Findings have implications for psychological research and practice.
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