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Applied Statistical Modeling (Sage Benchmarks in Social Research Methods)

By: Salvatore J. Babones (Edited by)

Out of stock

Ksh 177,600.00

Format: Multiple-Item Product

ISBN-10: 1446208397

ISBN-13: 9781446208397

Collection / Series: Sage Benchmarks in Social Research Methods

Collection Type: Publisher collection

Publisher: Sage Publications Ltd

Imprint: Sage Publications Ltd

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 13th, 2013

Publication Status: Active

Product extent: 1648 Pages

Weight: 3410.00 grams

Product Classification / Subject(s): Social research & statistics
Mathematical modelling

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This new four-volume set 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.
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 models

Volume Two: Models for panel data; Time series cross-sectional analysis; Spatial models; Logistic regression

Volume Three: Multinomial logit; Poisson regression; Instrumental variables

Volume Four: Structural equation models; Latent variable models

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