Multiple Regression with Discrete Dependent Variables.
Title:
Multiple Regression with Discrete Dependent Variables.
Author:
Orme, John G.
ISBN:
9780199716296
Personal Author:
Physical Description:
1 online resource (225 pages)
Series:
Pocket Guide to Social Work Research Methods
Contents:
Contents -- 1 Introduction to Regression Modeling -- 2 Regression with a Dichotomous Dependent Variable -- 3 Regression with a Polytomous Dependent Variable -- 4 Regression with an Ordinal Dependent Variable -- 5 Regression with a Count Dependent Variable -- Glossary -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- R -- S -- T -- V -- Z -- Appendix A: Description of Data Sets -- Appendix B: Logarithms -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Z.
Abstract:
Most social work researchers are familiar with linear regression, which is fairly straightforward to conduct, interpret, and present. However, linear regression is not appropriate for the discrete dependent variables frequently studied by the profession. This book presents methods for dichotomous, polytomous, ordinal, and count variables, with particular emphasis on interpreting and presenting results.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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