Understanding and interpreting Polytomous Logistic Regression: Applications to research on social work practice

Research on Social Work Practice

Volumn 8, Issue 2, 1998, Pages 223-235

  Unrau, Yvonne A ^a   Coleman, Heather ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 21944433166     PISSN: 10497315     EISSN: None     Source Type: Journal    
DOI: 10.1177/104973159800800206     Document Type: Article

References (9)

1. Cleary, P. D., & Angel, R. (1984). The analysis of relationships involving dichotomous dependent variables. Journal of Health and Social Behavior, 25, 334-348.
2. DeMaris, A. (1992). Logit modeling: Practical applications. Newbury Park, CA: Sage.
3. Fraser, M. W., Pecora, P., & Haapala, D. (Eds.). (1991). Families in crisis. New York: Aldine de Gruyter.
4. Keppel, G. (1982). Design and analysis: A researcher's handbook (2nd ed.). Englewood Cliffs, NJ: Prentice Hall.
5. Moran, M. A., Engelman, L., FitzGerald, G., & Lynch, B. (1990). Polychotomous stepwise logistic regression. In W. J. Dixon (Ed.), BMDP statistical software manual (Vol. 2). Berkeley: University of California Press.
6. Morgan, S. P., & Teachman, J. D. (1988). Logistic regression: Description, examples and comparison. Journal of Marriage and the Family, 50, 929-936.
7. Stevens, J. (1986). Applied multivariate statistics for the social sciences. Hillsdale, NJ: Lawrence Erlbaum.
8. Tabachnick, B. G., & Fidell, L. S. (1989). Using multivariate statistics (2nd ed.). New York: HarperCollins.
9. Walsh, A. (1987). Teaching understanding and interpretation of logit regression. Teaching Sociology, 15, 178-183.