<p>β²This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.β² β<strong>R
Theory-Based Data Analysis for the Social Sciences
β Scribed by Carol S. Aneshensel
- Publisher
- Pine Forge Press
- Year
- 2002
- Tongue
- English
- Leaves
- 178
- Series
- Pine Forge Series in Research Methods and Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The advent of complex and powerful computer-generated statistical models has greatly eroded the former prominence of social theory in data analysis, replacing it with an emphasis on statistical technique. To correct this trend, Carol S. Aneshensel presents a method for bringing data analysis and statistical technique into line with theory.
This book presents a method for bringing data analysis and statistical technique into line with theory. The author begins by describing the elaboration model for analyzing the empirical association between variables. She then introduces a new concept into this model, the focal relationship. Building upon the focal relationship as the cornerstone for all subsequent analysis, two analytic strategies are developed to establish its internal validity: an exclusionary strategy to eliminate alternative explanations, and an inclusive strategy which looks at the interconnected set of relationships predicted by theory. Using real examples of social research, the author demonstrates the use of this approach for two common forms of analysis, multiple linear regression and logistic regression. Whether learning data analysis for the first time or adding new techniques to your repertoire, this book provides an excellent basis for theory-based data analysis.
β¦ Table of Contents
Introduction to theory-based data analysis --
The logic of theory-based data analysis --
Associations and relationships --
The focal relationship : demonstrating internal validity --
Ruling out alternative explanations --
Ruling out alternative theoretical explanations --
Elaborating an explanation --
Specifying conditions of influence : effect modification and subgroup variation.
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