Summated rating scales: A Monte Carlo investigation of the effects of reliability and collinearity in regression models

Personality and Individual Differences

Volumn 23, Issue 4, 1997, Pages 665-676

  Shevlin, M ^a   Miles, J N V ^b   Bunting, B P ^c  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF DERBY   (United Kingdom)

^c UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0031256804     PISSN: 01918869     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0191-8869(97)00088-3     Document Type: Article

References (31)

1. Anderson, J. C. & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness of fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155-173.
2. Bohrnstedt, G. W. & Carter, T. M.(1971). Robustness in regression analysis. In H. L. Costner (Ed.), Sociological Methodology 1971 (pp. 118-146). San Francisco, CA: Jossey-Bass.
3. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
4. Bollen, K. A. & Lennox, R. (1991). Conventional wisdom on measurement: a structural equation perspective. Psychological Bulletin, 110, 305-314.
5. Boomsma, A. (1985). On the robustness of LISREL (maximum likelihood estimation) against small sample size and nonnormality. Unpublished Ph.D. dissertation, University of Groningen, Groningen, Netherlands.
6. Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. South African Statistical Journal, 37, 62-83.
7. Cohen J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioural sciences (2nd edn.). Hillsdale, NJ: Lawrence Erlbaum.
8. DeFrank, R. J., Jenkins, D. C. & Rose, R. M. (1987). A longitudinal investigation of the relationships among alcohol consumption, psychosocial factors and blood pressure. Psychosomatic Medicine, 49, 237-249.
9. Fuller, E. L. & Hemmerle (1966). Robustness of the maximum likelihood estimation procedure in factor analysis. Psychometrika, 31, 255-266.
10. Fuller, W. A. (1987). Measurement error models. New York: Wiley.
11. Gerbing, D. W. & Anderson, J. C. (1993). Monte Carlo evaluations of goodness of fit indices for structural equation models. In K. A. Bollen & J. C. Long (Eds), Testing structural equation models (pp. 40-65). Hillsdale, CA: Sage.
12. Hunter, J. E. & Schmidt, F. L. (1990). Methods of meta-analysis. Newbury Park, CA: Sage.
13. Johnson, D. R. & Creech, J. C. (1983). Ordinal measures in multiple indicators models: a simulation study of categorization error. American Sociological Review, 48, 398-407.
14. Jöreskog, K. G. & Sörbom, D. (1989). LISREL 7: a guide to the program and applications. Chicago, IL: SPSS, Inc.
15. Jöreskog, K. G. & Sörbom, D. (1992). GENRAW (computer program). Chicago, IL: Scientific Software Inc.
16. Jöreskog, K. G. & Sörbom, D. (1992). LISREL 8 (computer program). Chicago, IL: Scientific Software Inc.
17. Marsh, H. W., Hau, K. T., Roche, L., Craven, R., Balla, J. & McInerney, V. (1994). Problems in the application of structural equation modeling comment. Journal of Educational Psychology, 86, 457462.
18. Marsh, H. W. & Hocevar, D. (1988). A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis. Psychological Bulletin, 73, 107-117.
19. McDonald, R. P. (1974). Difficulty factors in binary data. British Journal of Mathematical and Statistical Psychology, 27, 82-99.
20. McGrady, A. & Higgins, J. T. (1990). Effect of repeated measurements of blood pressure in essential hypertension - the role of anxiety. Journal of Behavioural Medicine, 13, 93-101.
21. Mooijaart, A. (1983). Two kinds of factor analysis for ordered categorical variables. Multivariate Behavioral Research, 18, 423-441.
22. Muthén, B. & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38, 171-189.
23. Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory (3rd edn.). New York: McGraw-Hill.
24. Olsson, U. (1979). On the robustness of factor analysis against crude classification of the observations. Multivariate Behavioral Research, 14, 485-500.
25. Palmquist, B. & Green, D. P. (1992). Estimation of models with correlated measurement errors from panel data. Sociological Methodology, 22, 119-146.
26. Paunonen, S. V. & Gardner, R. C. (1991). Biases resulting from the use of aggregated variables in psychology. Psychological Bulletin, 109, 520-523.
27. Pedhazur, E. & Schmelkin, L. (1991). Measurement, design and analysis. Hillsdale, NJ: Lawrence Erlbaum.
28. Perloff, J. M. & Persons, R. C. (1988). Biases resulting from the use of indexes: an application to attributional style and depression. Psychological Bulletin, 103, 95-104.
29. Saris, W. E. (1983). Linear structural relationships: Volume II, measurement models. Amsterdam: Sociometric Research.
30. Wilks, S. S. (1938). Weighting systems for linear functions of correlated variables when there is no dependent variable. Psychometrika, 3, 23-40.
31. Wothke, W. (1993). Nonpositive definite matrices in structural modelling. In K. A. Bollen & J. C. Long (Eds), Testing structural equation models (pp. 256-293). Hillsdale, CA: Sage.