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Regression Analysis and Linear Models - Concepts, Applications, and Implementation (Hardcover)
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Regression Analysis and Linear Models - Concepts, Applications, and Implementation (Hardcover)
Series: Methodology in the Social Sciences
Expected to ship within 12 - 17 working days
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Emphasizing conceptual understanding over mathematics, this
user-friendly text introduces linear regression analysis to
students and researchers across the social, behavioral, consumer,
and health sciences. Coverage includes model construction and
estimation, quantification and measurement of multivariate and
partial associations, statistical control, group comparisons,
moderation analysis, mediation and path analysis, and regression
diagnostics, among other important topics. Engaging worked-through
examples demonstrate each technique, accompanied by helpful advice
and cautions. The use of SPSS, SAS, and STATA is emphasized, with
an appendix on regression analysis using R. The companion website
(www.afhayes.com) provides datasets for the book's examples as well
as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters
include SPSS, SAS, or STATA code pertinent to the analyses
described, with each distinctively formatted for easy
identification. *An appendix documents the RLM macro, which
facilitates computations for estimating and probing interactions,
dominance analysis, heteroscedasticity-consistent standard errors,
and linear spline regression, among other analyses. *Students are
guided to practice what they learn in each chapter using datasets
provided online. *Addresses topics not usually covered, such as
ways to measure a variable's importance, coding systems for
representing categorical variables, causation, and myths about
testing interaction.
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