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Can I read Multiple Regression with Discrete Dependent Variables (Pocket Guides to Social Work Research Methods) on EtoBox?
Multiple Regression with Discrete Dependent Variables (Pocket Guides to Social Work Research Methods) by John G Orme; Terri Combs-Orme; MyiLibrary is a nonfiction available to read on EtoBox.
What is Multiple Regression with Discrete Dependent Variables (Pocket Guides to Social Work Research Methods) about?
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, and social work research 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 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 ord
Who reads Multiple Regression with Discrete Dependent Variables (Pocket Guides to Social Work Research Methods)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- John G Orme; Terri Combs-Orme; MyiLibrary
- Publisher
- IRL Press at Oxford University Press
- Published
- 2009
- Language
- EN
- ISBN
- 9781281998507
- Category
- nonfiction
- Subjects
- Science, Mathematics, Social Science
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