Corelaţii, corelaţii, corelaţii ... perspectiva SEM asupra măsurării în psihologie

Balázsi Róbert

Abstract


SEM reprezintă o modalitate de analiză structurală a covarianţelor, având ca scop verificarea ipotezei conform căreia matricea de covarianţe a populaţiei variabilelor observate este o funcţie a parametrilor liberi necunoscuţi ai modelului teoretic structura.

References


Anastasi, A. (1976). Psychological testing. New York: MacMillan Publishing.

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.

Althauser, R.P, & Heberlein, T.A. (1970). A causal assessment of validity and the multitrait-multimethod matrix. In E. Borgatta (Ed.), Sociological methods (pp. 151-169). San Francisco: Jossey- Bass.

Anderson, J.C., & Gebing, D.W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103, 3, 411-423.

Bentler, P.M., & Bonett, D.G. (1980). Significance tests and goodnessof-fit in the analysis of covariance structures. Psychological Bulletin,88, 588-606.

Bollen, K.A. (1984). Multiple indicators: Internal consistency or no necessary relationship? Quality and Quantity, 18, 377-385.

Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

Bollen, K.A. & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 110, 2, 305-314.

Breckler, S.J. (1990). Applications of Covariance Structure Modeling in Psychology: Cause for Concern? Psychological Bulletin, 107, 2, 260-273.

Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81-105.

Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis foe the behavioral sciences. London: Lawrence Elrbaum Associates.

Cronbach, L.J. & Meehl, P.E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52,281-302.

Embretson, S.S., & Hershberger, S.L. (1999). The New Rules of Measurement What Every Psychologist and Educator Should Know. London: Lawrence Erlbaum Associates, Publishers.

Joreskog, K.G., & Sorbom, D. (1984). LISREL vi: Analysis of linear structural relationships by the method of maximum likelihood. Chicago: National Educational Resources.

Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Widaman, K.F (1985). Hierarchically nested covariance structure models for multitrait-multimethod data. Applied Psychological Measurement, 9, 1-26.


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