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Regression analysis and linear models : concepts, applications, and implementation

Author: Richard B Darlington; Andrew F Hayes; Todd D Little
Publisher: New York : Guilford Publications, Inc. : The Guilford Press, [2017] ©2017
Series: Methodology in the social sciences.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Darlington, Richard B.
Regression analysis and linear models.
New York : The Guilford Press, [2017]
(DLC) 2016034313
(OCoLC)957581420
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Richard B Darlington; Andrew F Hayes; Todd D Little
ISBN: 9781462527991 146252799X
OCLC Number: 957317941
Description: 1 online resource (xxvi, 661 pages) : illustrations.
Contents: Statistical control and linear models --
The simple regression model --
Partial relationship and the multiple regression model --
Statistical inference in regression --
Extending regression analysis principles --
Statistical versus experimental control --
Regression for prediction --
Assessing the importance of regressors --
Multicategorical regressors --
More on multicategorical regressors --
Multiple tests --
Nonlinear relationships --
Linear interaction --
Probing interactions and various complexities --
Mediation and path analysis --
Detecting and managing irregularities --
Power, measurement error, and various miscellaneous topics --
Logistic regression and other linear models.
Series Title: Methodology in the social sciences.
Responsibility: Richard B. Darlington, Andrew F. Hayes ; series editor's note by Todd D. Little.

Abstract:

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 SPS ...

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"This is a thorough and accessible introduction to regression analysis as conducted and reported in the psychology research literature. In addition to the basics, there is up-to-date coverage of more Read more...

 
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