Multiple Regression with Discrete Dependent Variables
Language: English
Published by Oxford University Press Inc, 2009
Series: Book 8 of 41 - Pocket Guides to Social Work Research Methods
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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Series: Pocket Guides to Social Work Research Methods. Num Pages: 224 pages, 1 black and white halftone, 58 line illustrations. BIC Classification: JHBC; JKS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 210 x 147 x 14. Weight in Grams: 308. . 2009. Paperback. . . . .
Seller Inventory # V9780195329452
- Title
- Multiple Regression with Discrete Dependent Variables
- Author
- Orme, John G.; Combs-Orme, Terri
- Publisher
- Oxford University Press Inc
- Publication year
- 2009
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0195329457
- ISBN 13
- 9780195329452
- Series
- Book 8 of 41: Pocket Guides to Social Work Research Methods
This book presents detailed discussions of regression models that are appropriate for a variety of discrete dependent variables. The major challenges of such analyses lie in the non-linear relationships between independent and dependent variables, and particularly in interpreting and presenting findings. Clear language guides the reader briefly through each step of the analysis, using SPSS and result presentation to enhance understanding of the important link function. The book begins with a brief review of linear regression; next, the authors cover basic binary logistic regression, which provides a foundation for the other techniques. In particular, comprehension of the link function is vital in order to later interpret these methods' results. Though the book assumes a basic understanding of linear regression, reviews and definitions throughout provide useful reminders of important terms and their meaning, and throughout the book the authors provide detailed examples based on their own data, which readers may work through by accessing the data and output on companion website.
Social work and other social sciences faculty, students, and researchers who already have a basic understanding of 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.
For additional resources, visit http://www.oup.com/us/pocketguides.
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