Multiple Regression with Discrete Dependent Variables by John G Orme
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 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.-
Using Complexity Theory for Research and Program Evaluation
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Needs Assessment
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Narrative Inquiry
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Systematic Reviews and Meta-Analysis
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Multilevel Thinking
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Clinical Data-Mining
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Research with Diverse Groups
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Strategies to Approximate Random Sampling and Assignment
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Grounded Theory
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Developing Cross-Cultural Measurement in Social Work Research and Evaluation
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Practice Research in the Human Services
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Developing Cross Cultural Measurement
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Conducting Substance Use Research
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Key Concepts in Measurement
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A Social Justice Approach to Survey Design and Analysis
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Data Analysis with Small Samples and Non-Normal Data
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Randomized Controlled Trials
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Qualitative Methods for Practice Research
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Preparing Research Articles
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Participatory Action Research
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Determining Sample Size
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Conducting Research in Juvenile and Criminal Justice Settings
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Systematic Synthesis of Qualitative Research
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Structural Equation Modeling
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Content Analysis
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Finding and Evaluating Evidence
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Intervention Research
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Secondary Data Analysis
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Mixed Methods Research
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Analysis of Multiple Dependent Variables
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Policy Creation and Evaluation
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Quasi-Experimental Research Designs
John Orme and Terri Combs-Orme are Professors of Social Work at the University of Tennessee
| SKU | Unavailable |
| ISBN 13 | 9780195329452 |
| ISBN 10 | 0195329457 |
| Title | Multiple Regression with Discrete Dependent Variables |
| Author | John G Orme |
| Series | Pocket Guides To Social Work Research Methods |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Oxford University Press Inc |
| Year published | 2009-05-07 |
| Number of pages | 224 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |