A Mathematical Primer for Social Statistics by John Fox
Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.-
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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Applied Logistic Regression Analysis
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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 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
John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.
| SKU | Unavailable |
| ISBN 13 | 9781412960809 |
| ISBN 10 | 1412960800 |
| Title | A Mathematical Primer for Social Statistics |
| Author | John Fox |
| Series | Quantitative Applications In The Social Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | SAGE Publications Inc |
| Year published | 2008-09-18 |
| Number of pages | 184 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |