Applied Logistic Regression Analysis by Scott Menard
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included.
- More detailed consideration of grouped as opposed to case-wise data throughout the book
- Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency
- Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data
Updated coverage of unordered and ordered polytomous logistic regression models.
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Survey Questions
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Q Methodology
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Reliability and Validity Assessment
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Latent Class Analysis
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ANOVA
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Nonparametric Statistics
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Factor Analysis
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Exploratory Data Analysis
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Logistic Regression
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Interaction Effects in Logistic Regression
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Introduction to Factor Analysis
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Interpreting and Using Regression
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Understanding Regression Analysis
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Bayesian Statistical Inference
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Multiple Regression in Practice
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Discriminant Analysis
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Confirmatory Factor Analysis
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Applied Regression
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Introduction to Power Analysis
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Introduction to the Laws of Statistical Sampling
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Multiple Time Series Models
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Random Factors in ANOVA
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Loglinear Models with Latent Variables
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Contextual Analysis
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Neural Networks
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Ordinal Log-Linear Models
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Social Choice
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Stochastic Parameter Regression Models
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Analytic Mapping and Geographic Databases
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Probability Theory
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Univariate Tests for Time Series Models
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Introduction to Applied Demography
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Data Theory and Dimensional Analysis
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Nonrecursive Causal Models
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Linear Programming
Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with Delbert S. Elliott, Bruce Rankin, Amanda Elliott, William Julius Wilson, and David Huizinga), Youth Gangs (Charles C. Thomas 2006, with Robert J. Franzese and Herbert C. Covey), and the Handbook of Longitudinal Research (Elsevier 2008), as well as other books and journal articles in the areas of criminology, delinquency, population studies, and statistics.
| SKU | Unavailable |
| ISBN 13 | 9780761922087 |
| ISBN 10 | 0761922083 |
| Title | Applied Logistic Regression Analysis |
| Author | Scott Menard |
| Series | Quantitative Applications In The Social Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | SAGE Publications Inc |
| Year published | 2001-12-05 |
| Number of pages | 128 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |