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Multiple regression with discrete dependent variables

Author: John G Orme; Terri Combs-Orme
Publisher: Oxford ; New York : Oxford University Press, 2009.
Series: Pocket guides to social work research methods.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Preface. 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. Appendix A: Description of Data Sets. Appendix B: Logarithms. Glossary.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Orme, John G.
Multiple regression with discrete dependent variables.
Oxford ; New York : Oxford University Press, 2009
(DLC) 2008030809
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John G Orme; Terri Combs-Orme
ISBN: 9780195329452 0195329457 0199716293 9780199716296
OCLC Number: 654775873
Description: 1 online resource (xvii, 206 pages) : illustrations.
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; Appendix A: Description of Data Sets; Appendix B: Logarithms; References; Index.
Series Title: Pocket guides to social work research methods.
Responsibility: John G. Orme, Terri Combs-Orme.

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  Read more...

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