Verifying the measurements invariance using the CFA models
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https://doi.org/10.24837/pru.v7i1.405Keywords:
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References
Arbuckle, J. L. (2005). Amos 6.0 User's Guide. Chicago, IL.: SPSS Inc.
Bandalos, D. L. (1993). Factors influencing crossvalidation of confirmatory factor analysis models. Multivariate Behavioral Research, 28, 351-374.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246.
Brown, T. A. (2006). Confirmatory Factor Anaysis for Applied Research. NY: Guilford Press.
Byrne, B. M., Shavelson, R. J., & Muthrn, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456-466.
Byrne, B. M., & Watkins, D. (2003). The issue of measurement invariance revisited. Journal of Cross-cultural Psychology, 34 (2), 155-175.
Cheung, G. W., & Rensvold, R. B. (2000). Assessing extreme and acquiescence response sets in cross-cultural research using structural equation modeling. Journal of Cross-Cultural Research, 31, 187-212.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indices for testing measurement equivalence. Structural Equation Modeling, 9, 233-255.
Cheung, G. W. (2008). Testing Equivalence in the Structure, Means, and Variances of Higher-Order Constructs With Structural Equation Modeling. Organizational Research Methods, 11, 593-613.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Drasgow, F., & Kanfer, R. (1985). Equivalence of psychological measurement in heterogeneous populations. Journal of Applied Psychology, 70, 662-680.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. New York: The Guilford Press.
Labouvie, E., & Ruetsch, C. (1995). Testing for equivalence of measurement scales: Simple structure and metric invariance reconsidered. Multivariate Behavioral Research, 30, 63-76.
Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525-543.
Millsap, R. E., & Everson, H.(1991). Confirmatory measurement model comparisons using latent means. Multivariate Behavioral Research, 26, 479-497.
Mullen, M. R. (1995). Diagnosing measurement equivalence in cross-national research. Journal of International Business Studies, 26, 573-596.
Singh, J. (1995). Measurement issues in crossnational research. Journal of International Business Studies, 26, 597-619.
Vandenberg, R. J. (2002). Toward a further understanding of and improvement in measurement equivalence methods and procedures. Organizational Research Methods, 5, 139-158.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement equivalence literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-69.
Bandalos, D. L. (1993). Factors influencing crossvalidation of confirmatory factor analysis models. Multivariate Behavioral Research, 28, 351-374.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246.
Brown, T. A. (2006). Confirmatory Factor Anaysis for Applied Research. NY: Guilford Press.
Byrne, B. M., Shavelson, R. J., & Muthrn, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456-466.
Byrne, B. M., & Watkins, D. (2003). The issue of measurement invariance revisited. Journal of Cross-cultural Psychology, 34 (2), 155-175.
Cheung, G. W., & Rensvold, R. B. (2000). Assessing extreme and acquiescence response sets in cross-cultural research using structural equation modeling. Journal of Cross-Cultural Research, 31, 187-212.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indices for testing measurement equivalence. Structural Equation Modeling, 9, 233-255.
Cheung, G. W. (2008). Testing Equivalence in the Structure, Means, and Variances of Higher-Order Constructs With Structural Equation Modeling. Organizational Research Methods, 11, 593-613.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Drasgow, F., & Kanfer, R. (1985). Equivalence of psychological measurement in heterogeneous populations. Journal of Applied Psychology, 70, 662-680.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. New York: The Guilford Press.
Labouvie, E., & Ruetsch, C. (1995). Testing for equivalence of measurement scales: Simple structure and metric invariance reconsidered. Multivariate Behavioral Research, 30, 63-76.
Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525-543.
Millsap, R. E., & Everson, H.(1991). Confirmatory measurement model comparisons using latent means. Multivariate Behavioral Research, 26, 479-497.
Mullen, M. R. (1995). Diagnosing measurement equivalence in cross-national research. Journal of International Business Studies, 26, 573-596.
Singh, J. (1995). Measurement issues in crossnational research. Journal of International Business Studies, 26, 597-619.
Vandenberg, R. J. (2002). Toward a further understanding of and improvement in measurement equivalence methods and procedures. Organizational Research Methods, 5, 139-158.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement equivalence literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-69.
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Published
2020-01-24
How to Cite
Balazsi, R. (2020). Verifying the measurements invariance using the CFA models. Psihologia Resurselor Umane, 7(1), 96–100. https://doi.org/10.24837/pru.v7i1.405
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Methodology
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