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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences) - Softcover
Synopsis
Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. This volume presents a practical, unified treatment of these topics, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys.
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- PublisherSAGE Publications, Inc
- Publication date2024
- ISBN 10 1544364016
- ISBN 13 9781544364018
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages208
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Paperback)
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SAGE Publications Inc, Thousand Oaks, 2024
ISBN 10: 1544364016
ISBN 13: 9781544364018
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Paperback. Condition: new. Paperback. Interpreting Effects in Logistic Regression and Logit Models shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one model, (ii) between identical models estimated in different subgroups, and (iii) between nested models. Additionally, this volume presents a practical, unified treatment of comparison problems and considers the advantages and disadvantages of each approach and when to use them. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781544364018
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