Applied Statistical Modeling Hardback
Edited by Salvatore J. Babones
Part of the Sage Benchmarks in Social Research Methods series
This new four-volume set on Applied Statistical Modeling brings together seminal articles in the field, selected for their exemplification of the specific model type used, their clarity of exposition and their importance to the development of their respective disciplines.
The set as a whole is designed to serve as a master class in how to apply the most commonly used statistical models with the highest level of methodological sophistication.
It is in essence a user's guide to statistical best-practice in the social sciences. This truly multi-disciplinary collection covers the most important statistical methods used in sociology, social psychology, political science, management science, media studies, anthropology and human geography.
The articles are organised by model type into thematic sections that include selections from multiple disciplines.
There are a total of thirteen sections, each with a brief introduction summarising common applications: Volume One: Control variables; Multicolinearity and variance inflation; Interaction models; Multilevel modelsVolume Two: Models for panel data; Time series cross-sectional analysis; Spatial models; Logistic regressionVolume Three: Multinomial logit; Poisson regression; Instrumental variablesVolume Four: Structural equation models; Latent variable models
- Format: Hardback
- Pages: 1648 pages
- Publisher: SAGE Publications Ltd
- Publication Date: 13/03/2013
- Category: Social research & statistics
- ISBN: 9781446208397