Recommended Statistics References for Logistic Regression
ResearchConsultation.com

Agresti, A. (1990). Catagorical data analysis. Wiley: New York.

Aldrich, J. H., & Nelson, F. D. (1984). Linear probability. Logit, and probit models. Beverly Hills, CA: Sage.

Bailey, S. L., Flewelling, R. L., & Rachal, J. V. (1992). Predicting continued use of marijuana among adolescents: The relative influence of drug-specific and social context factors. Journal of Health and Social Behavior, 33, 51-66.

Bhattacharyya, A. K. (1975). Income inequality and fertility: a comparative view. Population studies, 29, 5-18.

Boster, J. S. (1988). Natural sources of internal category structure: typicality, familiarity and similarity of birds. Memory and Cognition, 16, 258-270.

Bradley, L. (1988). Making connections in learning to read and to spell. Applied Cognitive Psychology, 2, 3-18.

Braune, R., & Wickens, C. D. (1986). Time-sharing revisited: test of a componential model for the assessment of individual differences. Ergonomics, 29, 1399-1414.

Capel, S. A. (1986). Psychological and organizational factors related to burnout in athletic trainers. Research Quarterly for Exercise and Sport, 57, 321-328.

Clark, D. A., & Beck, A. T. (1991). Personality factors in dysphoria: A psychometric refinement of Beck's Sociotropy-Autonomy scale. Journal of Psychopathology and Behavioral Assessment, 13, 369-.

Clark, D. A., Beck, A. T., & Brown, G. T. (1992). Sociotropy, autonomy, and life event perception in dysphoric and nondysphoric individuals. Cognitive Therapy and Research, 16, 635-.

Cohen, P. and Gaughran, E. An assessment of the impact of economic factors on planned fertility in New York City, 1970. Multivariate Behavioral Research, 11:461-476, 1976.

Dwyer, J. H. (1983). Statistical models for the social and behavioral sciences. New York: Oxford Press.

Forehand, R. Fauber, R., Long, N., Brody, G. H. & Slotkin, J. (1987). Maternal depressive mood following divorce: An examination of predictors and adolescent adjustment from a stress model perspective. Advances in Family Intervention, Assessment, and Therapy.

Fox, J. (2000). Multiple and generalized nonparametric regression. Thousand Oaks, CA: Sage Publications. Quantitative Applications in the Social Sciences Series No.131.

Fox, J. D. (1984). Linear Statistical Models and Related Methods. New York: Wiley. (Chapter 5: an excellent review of logistic regression)

Frank, L. H., Casali, J. G., & Wierwille, W. W. (1988). Effects of visual display and motion system delays on operator performance and uneasiness in a driving simulator. Human Factors, 30(2), 201-217.

Friedrich, W. N., Urquiza, A. J., & Beilke, R. L. (1986). Behavior problems in sexually abused young children. Journal of Pediatric Psychology, 11, 47-.

Hauck, W. W., & Donner, A. (1977). Wald’s test as applied to hypothesis in logit analysis. Journal of the American Statistical Association, 72, 851-853.

Hosmer, D. (2000). Applied Logistic Regression. NY: Wiley.

Hosmer, D. W., & Lemeshow, S. (1989). Applied logistic regression. New York: Wiley.

Hosmer, D.W, Jr and Lemeshow, S. (1989), Applied Logistic Regression, New York: John Wiley & Sons, Inc.

Hosmer, D.W., & Lemeshow, S. (1989). Applied Logistic Regression. New York: Wiley.

Jaccard, J. (2001). Interaction effects in logistic regression. Thousand Oaks, CA: Sage Publications. Quantitative Applications in the Social Sciences Series, No. 135.

Klecka, W. R. (1980). Discriminant analysis. Beverly Hills, CA: Sage.

Kleinbaum, D. G. (2002). Logistic regression: A self-learning text. NY: Springer.

Lovett, M. W., Benson, N. J., & Olds, J. (1990). Individual difference predictors of treatment outcome in the remediation of specific reading disability. Learning and Individual Differences, 2, 287-314.

Marsh, H. W. (1987). Masculinity, Femininity and androgeny: Their relations with multiple dimensions of self-concept. Multivariate Behavioral Research, 22, 91-118.

McCullagh, P.,& Nelder, J. A. (1989). Generalized linear models. New York: Chapman and Hall.

Menard, S. (2002). Applied logistic regression analysis, 2nd Edition. Thousand Oaks, CA: Sage Publications. No. 106.

 

Neter, J., & Wasserman, W. (1974). Applied linear statistical models. Homeowood. IL:Irwin.

Pampel, F. C. (2000). Logistic regression: A primer. Sage Quantitative Applications in the Social Sciences Series, No.132. Thousand Oaks, CA: Sage Publications.

Press, S.J., & Wilson, S (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73, 699-705.

Rubin, D. C. (1980) 51 Properties of 125 words: A unit analysis of verbal behavior. Journal of Verbal Learning and Verbal Behavior, 19, 736-755.

Shott, S. (1991). Logistic regression and discriminant analysis. Journal of the American Veterinary Medical Association, 198, 1902-1905.

Spiegel, D., Frischolz, E. J., Fleiss, J. L., & Speigel, H. (1993). Predictors of smoking abstinence following a single-session restructuring intervention with self-hypnosis. American Journal of Psychiatry, 150, 1090-1097.

Stablein, D. M., Miller, J. D, Choi, S. C., & Becker, D. P. (1980). Statistical methods for determining prognosis in severe head injury. Neurosurgery, 6, 243-246.

Tabachnick, B.G., and L. S. Fidell (2001). Using multivariate statistics, 4th ed. NY: Allyn and Bacon.

Tanaka, J. S. & Huba, G. J. (1987). Assessing the stability of depression in college students. Multivariate Behavioral Research, 22, 5-19.

Walsh, A. (1987). Teaching understanding and interpretation of logit regression. Teaching Sociology, 15, 178-183.

Walsh, A. Teaching understanding and interpretation of logistic regression. Teaching Sociology, 15:178-183, 1987.

Whitemore, A.S. (1981). "Sample size for logistic regression with small response probability" JASA, 76, 27-32.

Wright, R. (1992). Semantic evaluation criteria and the expository writing skills of grade school children. Unpublished doctoral dissertation, University of Illinois at Chicago.

Wright, R.E. (1995). Logistic regression in L.G. Grimm & P.R. Yarnold, eds., Reading and understanding multivariate statistics. Washington, DC: American Psychological Association

Questions or comments about this article can be sent to:

VISIT: www.ResearchConsultation.com