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Fitting a Factor Model with the Two-Stage Approach

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Meta-Analytic Structural Equation Modelling

Part of the book series: SpringerBriefs in Research Synthesis and Meta-Analysis ((BRIEFSSYNTHES))

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Abstract

In this chapter I will illustrate fitting a factor model within a MASEM analysis using the metaSEM package. The data come from a meta-analysis performed by Fan et al. (Personality and Individual Differences 48(7):781–785, 2010), who collected correlation matrices of the 8 subscales of a test to measure “Emotional intelligence” from 19 studies. The preparation of the data, and the fixed and random effects Stage 1 analyses are explained step by step. Next, the Stage 2 factor model is fit to the pooled correlation matrix from the random effects Stage 1 analysis. All steps that have to be taken to perform the analyses are discussed, as well as the relevant output.

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References

  • Fan, H., Jackson, T., Yang, X., Tang, W., & Zhang, J. (2010). The factor structure of the Mayer-Salovey-Caruso Emotional Intelligence Test V2.0 (MSCEIT): A meta-analytic structural equation modeling approach. Personality and Individual Differences, 48(7), 781–785.

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  • Salovey, P., & Mayer, J. D. (1989). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211.

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Correspondence to Suzanne Jak .

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Jak, S. (2015). Fitting a Factor Model with the Two-Stage Approach. In: Meta-Analytic Structural Equation Modelling. SpringerBriefs in Research Synthesis and Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-27174-3_6

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