Procedura Multi Trăsătură Multi Metodă: o abordare din perspectiva SEM
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https://doi.org/10.24837/pru.v6i2.369Keywords:
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References
Althauser, R. P., & Heberlein, T. A. (1970). A causal assessment of validity and the multitraitmultimethod matrix. In E. Borgatta (Ed.), Sociological methods (pp. 151-169). San Francisco: Jossey- Bass.
Alwin, D. F. (1974). Approaches to the interpretation of relationships in the multitrait-multimethod matrix. In H. L. Costner (Ed.), Sociological methodology 1973-1974 (pp. 79-105). San Francisco: Jossey-Bass.
Anderson, N. H. (2001). Empirical Direction in Design and Analysis. Lawrence Erlbaum Associates, New Jersey.
Balazsi, R. (2006). Compararea statistică a coeficienților de corelație. Psihologia Resurselor Umane, vol. IV, nr.2, p. 103.
Bollen, K. A. & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 1991, Vol. 110, 2, 305-314.
Browne, M. W. (1984). The decomposition of multitraitmultimethod matrices. British Journal of Mathematical and Statistical Psychology, 37, 1-21.
Campbell, D. T, & Fiske, D. W (1959). Convergent and discriminant validation by the multitraitmultimethod matrix. Psychological Bulletin, 56, 81-105.
Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Lawrence Elrbaum Associates, London.
Dawkins, R. (1976). The Selfish gene. Oxford University Press, Oxford.
Embretson, S., S. & Hershberger, S., L. (1999). The New Rules of Measurement What Every Psychologist and Educator Should Know. LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS, New Jersey London.
Hubert, L. J., & Baker, F. B. (1978). Analyzing the multitrait-multimethod matrix. Multivariate Behavioral Research, 13, 163-179.
Kenny, D. A. (1979). Correlation and causality. New York: Wiley.
Kenny, D.A. & Kashy, D.A. (1992). Analysis of the Multitrait-Multimethod Matrix by Confirmatory Factor Analysis. Psychological Bulletin 1992, Vol. 112, 1,165-172
Marsh, H. W. (1989) Confirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions. Applied Psychological Measurement 1989; Vol. 13, 4, 335-361.
Marsh, H.W. & Bailey, M. (1991) Confirmatory Factor Analyses of Multitrait-Multimethod Data: A Comparison of Alternative Models. Applied Psychological Measurement, Vol. 15, 1, 47-70.
Marsh, H. W., & Hocevar, D. (1985). The application of confirmatory factor analysis to the study of self-concept: First and higher order factor structures and their invariance across age groups. Psychological Bulletin, 97, 562-582.
Marsh, H. W., & Hocevar, D. (1988). A New, More Powerful Approach to Multitrait-Multimethod Analyses: Application of Second-Order
Confirmatory Factor Analysis. Journal of Applied Psychology Vol. 73, 1, 107-117
Michell, J. (1990). An Introduction to the Logic of Psychological Measurement. Editura Lawrence Erlbaum Associates, New Jersey.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Pedhauzur, E. J. (1982). Multiple regression in behavioral research. New York: Holt,
Rinehart & Winston.
Reichardt, C. S., & Coleman, S. C. (1995). The criteria for convergent and discriminant validity in a multitraitmultimethod matrix. Multivariate Behavioral Research, 30, 513-538.
Schmitt, N., & Stults, D. M. (1986). Methodological review: Analysis of multitrait-multimethod matrices. Applied Psychological Measurement, 10, 1-22.
Schumacker, R. & Lomax, R. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum Associates, New Jersey.
Scullen, S.E. (1999) Using Confirmatory Factor Analysis of Correlated Uniquenesses to Estimate Method Variance in Multitrait- Multimethod Matrices. Organizational Research Methods, Vol. 2 No. 3, 275-292.
Trochim, W.M.K. (2006). Social research methods.http://www.socialresearchmethods.net/kb/contents.php
Widaman, K. F (1985). Hierarchically nested covariance structure models for multitraitmultimethod data. Applied Psychological Measurement, 9, 1-26.
Wothke, W. (1996). Models for multitraitmultimethod matrix analysis. In G. M. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques. Hillsdale, NJ: Erlbaum.
Alwin, D. F. (1974). Approaches to the interpretation of relationships in the multitrait-multimethod matrix. In H. L. Costner (Ed.), Sociological methodology 1973-1974 (pp. 79-105). San Francisco: Jossey-Bass.
Anderson, N. H. (2001). Empirical Direction in Design and Analysis. Lawrence Erlbaum Associates, New Jersey.
Balazsi, R. (2006). Compararea statistică a coeficienților de corelație. Psihologia Resurselor Umane, vol. IV, nr.2, p. 103.
Bollen, K. A. & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 1991, Vol. 110, 2, 305-314.
Browne, M. W. (1984). The decomposition of multitraitmultimethod matrices. British Journal of Mathematical and Statistical Psychology, 37, 1-21.
Campbell, D. T, & Fiske, D. W (1959). Convergent and discriminant validation by the multitraitmultimethod matrix. Psychological Bulletin, 56, 81-105.
Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Lawrence Elrbaum Associates, London.
Dawkins, R. (1976). The Selfish gene. Oxford University Press, Oxford.
Embretson, S., S. & Hershberger, S., L. (1999). The New Rules of Measurement What Every Psychologist and Educator Should Know. LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS, New Jersey London.
Hubert, L. J., & Baker, F. B. (1978). Analyzing the multitrait-multimethod matrix. Multivariate Behavioral Research, 13, 163-179.
Kenny, D. A. (1979). Correlation and causality. New York: Wiley.
Kenny, D.A. & Kashy, D.A. (1992). Analysis of the Multitrait-Multimethod Matrix by Confirmatory Factor Analysis. Psychological Bulletin 1992, Vol. 112, 1,165-172
Marsh, H. W. (1989) Confirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions. Applied Psychological Measurement 1989; Vol. 13, 4, 335-361.
Marsh, H.W. & Bailey, M. (1991) Confirmatory Factor Analyses of Multitrait-Multimethod Data: A Comparison of Alternative Models. Applied Psychological Measurement, Vol. 15, 1, 47-70.
Marsh, H. W., & Hocevar, D. (1985). The application of confirmatory factor analysis to the study of self-concept: First and higher order factor structures and their invariance across age groups. Psychological Bulletin, 97, 562-582.
Marsh, H. W., & Hocevar, D. (1988). A New, More Powerful Approach to Multitrait-Multimethod Analyses: Application of Second-Order
Confirmatory Factor Analysis. Journal of Applied Psychology Vol. 73, 1, 107-117
Michell, J. (1990). An Introduction to the Logic of Psychological Measurement. Editura Lawrence Erlbaum Associates, New Jersey.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Pedhauzur, E. J. (1982). Multiple regression in behavioral research. New York: Holt,
Rinehart & Winston.
Reichardt, C. S., & Coleman, S. C. (1995). The criteria for convergent and discriminant validity in a multitraitmultimethod matrix. Multivariate Behavioral Research, 30, 513-538.
Schmitt, N., & Stults, D. M. (1986). Methodological review: Analysis of multitrait-multimethod matrices. Applied Psychological Measurement, 10, 1-22.
Schumacker, R. & Lomax, R. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum Associates, New Jersey.
Scullen, S.E. (1999) Using Confirmatory Factor Analysis of Correlated Uniquenesses to Estimate Method Variance in Multitrait- Multimethod Matrices. Organizational Research Methods, Vol. 2 No. 3, 275-292.
Trochim, W.M.K. (2006). Social research methods.http://www.socialresearchmethods.net/kb/contents.php
Widaman, K. F (1985). Hierarchically nested covariance structure models for multitraitmultimethod data. Applied Psychological Measurement, 9, 1-26.
Wothke, W. (1996). Models for multitraitmultimethod matrix analysis. In G. M. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques. Hillsdale, NJ: Erlbaum.
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Published
2020-01-24
How to Cite
Balazsi, R. (2020). Procedura Multi Trăsătură Multi Metodă: o abordare din perspectiva SEM. Psihologia Resurselor Umane, 6(2), 106–111. https://doi.org/10.24837/pru.v6i2.369
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Methodology
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