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LATENT VARIABLE SCORES OF CONFIRMATORY FACTOR ANALYSIS AND ITS APPLICATIONS.

Zheng Jian-zhong

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Abstract

Objective:The estimated latent variable scores were obtained and convenient for other statistical analysis when Structural Equation Model was not suitable in some conditions.Methods:The latent variable scores theory of confirmatory factor analysis was discussed and latent variable scores were estimated with LISREL program.Results:Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation.Conclusion:Latent variable scores were more valid than sum scores for it counteracted the influence of measurement error.

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Objective:The estimated latent variable scores were obtained and convenient for other statistical analysis when Structural Equation Model was not suitable in some conditions.Methods:The latent variable scores theory of confirmatory factor analysis was discussed and latent variable scores were estimated with LISREL program.Results:Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation.Conclusion:Latent variable scores were more valid than sum scores for it counteracted the influence of measurement error.

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Available abstract

Objective:The estimated latent variable scores were obtained and convenient for other statistical analysis when Structural Equation Model was not suitable in some conditions.Methods:The latent variable scores theory of confirmatory factor analysis was discussed and latent variable scores were estimated with LISREL program.Results:Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation.Conclusion:Latent variable scores were more valid than sum scores for it counteracted the influence of measurement error.

Key concepts: LISREL, Latent variable, Confirmatory factor analysis, Structural equation modeling, Latent class model, Latent variable model, Statistics, Variable (mathematics)

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