A New Look at the Factor Structure of the MHC-SF in Iran and the United States Using Exploratory Structural Equation Modeling

Mohsen Joshanloo

48 citations0/0 files storedJournal of Clinical Psychology

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Psychometric Methodologies and Testing Psychological Well-being and Life Satisfaction Mental Health Research Topics

Abstract

OBJECTIVE: This study examined the factor structure and measurement invariance of the Mental Health Continuum-Short Form (MHC-SF) in young adults from Iran and the USA and across gender. METHOD: The sample consisted of 387 Iranian and 395 American university students. Confirmatory factor analysis (CFA) and the new method of exploratory structural equation modeling (ESEM) were used to analyze the data. RESULTS: The three-dimensional model of well-being as measured by the MHC-SF was consistent with the data. ESEM resulted in better fit indices as well as considerably lower factor correlations than did CFA. Partial measurement invariance across nations and full measurement invariance across gender were established. CONCLUSION: The results confirm the three-dimensional structure of mental well-being, and indicate that the items of the MHC-SF function largely similarly across the two nations. These results also showcase the unique value of ESEM in understanding the factor structure of mental well-being.

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1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2012Principles and Practice of Structural Equation Modeling 2002Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance 2007Confirmatory factor analysis for applied research 1989Happiness is everything, or is it? Explorations on the meaning of psychological well-being.1994Testing Structural Equation Models.1999Subjective well-being: Three decades of progress.1996Power analysis and determination of sample size for covariance structure modeling.

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2016The factor structure of the mental health continuum-short form (MHC-SF) in Serbia: an evaluation using exploratory structural equation modeling 2016The Value of Exploratory Structural Equation Modeling in Identifying Factor Overlap in the Mental Health Continuum-Short Form (MHC-SF): A Study with a New Zealand Sample 2016Reinvestigation of the factor structure of the MHC-SF in the Netherlands: Contributions of exploratory structural equation modeling

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