Multiple regression with discrete dependent variables / John G. Orme, Terri Combs-Orme.

Format:

Book

Author/Creator:

Orme, John G.

Contributor:

Combs-Orme, Terri.

Series:

Pocket guides to social work research methods

Language:

English

Subjects (All):

Social service--Statistical methods.

Social service.

Regression analysis.

Physical Description:

xvii, 206 pages : illustrations ; 21 cm.

Place of Publication:

Oxford ; New York : Oxford University Press, 2009.

Summary:

Most social work researchers are familiar with linear regression techniques, which are fairly straightforward to conduct, interpret, and present. However, linear regression is not appropriate for discrete dependent variables. Social work research, however, frequently employs these variables, focusing on outcomes such as placement in foster care or not; level of severity of elder abuse or depression symptoms; or number of reoffenses by juvenile delinquents in the year following adjudication.

This book presents regression models that are appropriate for the most common discrete dependent variables, including dichotomous, polytomous, ordinal, and count dependent variables. These regression models are all part of the Generalized Linear Model, which provides a unifying framework for analyzing the entire class of regression models in this book, including linear regression. Clear language guides the reader briefly through each step of the analysis, interpretation, and presentation of results. SPSS is used throughout for these analyses. Though the book assumes a basic understanding of linear regression, reviews and definitions throughout provide useful reminders of important terms and their meaning, as do the detailed examples based on the authors' own data, which readers may work through by accessing the data and output on a companion website.

Social work and other social sciences faculty, students, and researchers who understand basic linear regression but are not as familiar with the regression analysis of discrete dependent variables will find this straightforward pocket guide to be a terrific boon to their bookshelves.

Contents:

1 Introduction to Regression Modeling 3

2 Regression with a Dichotomous Dependent Variable 30

3 Regression with a Polytomous Dependent Variable 91

4 Regression with an Ordinal Dependent Variable 123

5 Regression with a Count Dependent Variable 152.

Notes:

Includes bibliographical references (pages 199-202) and index.

ISBN:

9780195329452

0195329457

OCLC:

234260135