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Books > Social sciences > Sociology, social studies > Social research & statistics
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Theory-Based Data Analysis for the Social Sciences (Paperback, 2nd Revised edition)
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Theory-Based Data Analysis for the Social Sciences (Paperback, 2nd Revised edition)
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This book presents the elaboration model for the multivariate
analysis of observational quantitative data. This model entails the
systematic introduction of "third variables" to the analysis of a
focal relationship between one independent and one dependent
variable to ascertain whether an inference of causality is
justified. Two complementary strategies are used: an exclusionary
strategy that rules out alternative explanations such as
spuriousness and redundancy with competing theories, and an
inclusive strategy that connects the focal relationship to a
network of other relationships, including the hypothesized causal
mechanisms linking the focal independent variable to the focal
dependent variable. The primary emphasis is on the translation of
theory into a logical analytic strategy and the interpretation of
results. The elaboration model is applied with case studies drawn
from newly published research that serve as prototypes for aligning
theory and the data analytic plan used to test it; these studies
are drawn from a wide range of substantive topics in the social
sciences, such as emotion management in the workplace, subjective
age identification during the transition to adulthood, and the
relationship between religious and paranormal beliefs. The second
application of the elaboration model is in the form of original
data analysis presented in two Analysis Journals that are
integrated throughout the text and implement the full elaboration
model. Using real data, not contrived examples, the text provides a
step-by-step guide through the process of integrating theory with
data analysis in order to arrive at meaningful answers to research
questions.
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