Goodness of fit in regression analysis - R2 and G2 reconsidered

Quality and Quantity

Volumn 32, Issue 3, 1998, Pages 229-245

  Hagquist, Curt ^a   Stenbeck, Magnus ^b  

^a Centre for Public Health Research Karlstad   (Sweden)

^b CENTRE FOR EPIDEMIOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032341493     PISSN: 00335177     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1004328601205     Document Type: Article

References (28)

1. Achen, C. H. (1982). Interpreting and Using Regression. Newbury Park: Sage Publications.
2. Achen, C. H. (1990). What Does "Explained Variance" Explain?: Reply, Political Analysis, 2. Ann Arbor: The University of Michigan Press, pp. 173-184.
3. Agresti, A. (1996). An Introduction to Categorical Data Analysis. New York: John Wiley and Sons.
4. Agresti, A. (1990). Categorical Data Analysis. New York: John Wiley and Sons.
5. Aldrich, J. H. & Nelson, F. D. (1984). Linear Probability, Logit, and Probit Models. Newbury Park: Sage Publications.
6. Berry, W. D. & Feldman, S. (1985). Multiple Regression in Practice. Newbury Park: Sage Publications.
7. Bishop, Y. M. M., Fienberg, S. E., & Holland, P. W. (1975). Discrete Multivariate Analysis. Theory and Practice. Cambridge: The MIT Press.
8. Bollen, K. A. & Long, J. S. (1993). Introduction. In: K. A. Bollen & J. S. Long (eds), Testing Structural Equation Models. Newbury Park: Sage Publications.
9. Clogg, C. C. & Shihadeh, E. S. (1994). Statistical Models for Ordinal Variables. Thousand Oaks: Sage Publications.
10. Demaris, A. (1992). Logit Modeling. Practical Applications. Newbury Park: Sage Publications.
11. Duncan, O. D. (1985). Personal letter to David Burke.
12. Fienberg, S. E. (1980). The Analysis of Cross-Classified Categorical Data. Cambridge: The MIT Press.
13. Gilbert, N. (1993). Analyzing Tabular Data. Loglinear and Logistic Models for Social Researchers. London: UCL Press.
14. Hagle, T. M. & Mitchell, G. E. (1992). Goodness of fit measures for probit and logit. American Journal of Political Science 36: 762-784.
15. Hanushek, E. A. & Jackson, J. E. (1977). Statistical Methods for Social Scientists. Orlando: Academic Press.
16. Hosmer, D. W. & Lemeshow, S. (1989). Applied Logistic Regression. New York: John Wiley and Sons.
17. King, G. (1986). How not to lie with statistics: Avoiding common mistakes in quantitative political science. American Journal of Political Science 30: 666-687.
18. King, G. (1990). Stochastic Variation: A Comment on Lewis-Beck and Skalaban's "The R-Squared". Political Analysis, 2. Ann Arbor: The University of Michigan Press, pp. 185-200.
19. Knoke, D. & Burke, P. J. (1980). Log-linear models. Newbury Park: Sage Publications.
20. Lewis-Beck, M. S. (1980). Applied Regression. An Introduction. Newbury Park: Sage Publications.
21. Lewis-Beck, M. S. & Skalaban, A. (1990). The R-Squared: Some Straight Talk. Political Analysis, 2. Ann Arbor: The University of Michigan Press, pp. 153-171.
22. McCullagh, P. & Neider, J. A. (1989). Generalized Linear Models. London: Chapman and Hall.
23. McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. Frontiers of Econometrics. New York: Academic Press, pp. 105-142.
24. Menard, S. (1995). Applied Logistic Regression Analysis. Thousand Oaks: Sage Publications.
25. Schroeder, L. D., Sjoquist, D. L., & Stephan, P. E. (1986). Understanding Regression Analysis. An Introductory Guide. Newbury Park: Sage Publications.
26. SPSS (1993). SPSS for Windows. Advanced Statistics Release 6.0. Chicago: SPSS.
27. SPSS (1993). SPSS for Windows. Base System User's Guide. Release 6.0. Chicago: SPSS.
28. SPSS (1994). SPSS 6.1 for Windows update. Chicago: SPSS.