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Regression analysis and linear model...

Darlington, Richard B.

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

紀錄類型:	書目-語言資料,印刷品 : 單行本
副題名:	concepts, applications, and implementation
作者:	DarlingtonRichard B.,
其他作者:	HayesAndrew F.,
出版地:	New York
出版者:	The Guilford Press;
出版年:	2017.
面頁冊數:	xxvi, 661 p.ill. : 26 cm;
集叢名:	Methodology in the social sciences
標題:	Regression analysis -
標題:	Linear models (Statistics) -
標題:	Psychology - Statistical methods -
標題:	Social sciences - Statistical methods -
摘要註:	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, quantificationand 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 author's 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. --Provided by Publisher
ISBN:	9781462521135
內容註:	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

Regression analysis and linear models : concepts, applications, and implementation
Darlington, Richard B.

Regression analysis and linear models : concepts, applications, and implementation / Richard B. Darlington, Andrew F. Hayes. - New York : The Guilford Press, 2017.. - xxvi, 661 p. ; ill. ; 26 cm. - (Methodology in the social sciences).
Statistical control and linear models.
Includes bibliographical references (p.627-636) and index.
ISBN 9781462521135
Regression analysisLinear models (Statistics)PsychologySocial sciences -- Statistical methods -- Statistical methods

Hayes, Andrew F.

Regression analysis and linear models : concepts, applications, and implementation
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210 $a New York $c The Guilford Press $d 2017.
215 1 $a xxvi, 661 p. $c ill. $d 26 cm
225 2 $a Methodology in the social sciences
320 $a Includes bibliographical references (p.627-636) and index
327 1 $a Statistical control and linear models $a The simple regression model $a Partial relationship and the multiple regression model $a Statistical inference in regression $a Extending regression analysis principles $a Statistical versus experimental control $a Regression for prediction $a Assessing the importance of regressors $a Multicategorical regressors $a More on multicategorical regressors $a Multiple tests $a Nonlinear relationships $a Linear interaction $a Probing interactions and various complexities $a Mediation and path analysis $a Detecting and managing irregularities $a Power, measurement error, and various miscellaneous topics $a Logistic regression and other linear models
330 $a 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, quantificationand 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 author's 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. --Provided by Publisher
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