Multiple regression and correlation techniques: Recent controversies and best practices

被引:85
作者
Hoyt, William T. [1 ]
Imel, Zac E. [1 ]
Chan, Fong [2 ]
机构
[1] Univ Wisconsin, Dept Counseling Psychol, Madison, WI 53706 USA
[2] Univ Wisconsin, Dept Rehabil Psychol & Special Educ, Madison, WI 53706 USA
关键词
data analysis; multiple regression; research methods; confidence intervals; mediation;
D O I
10.1037/a0013021
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: This article presumes familiarity with the basics of multiple regression and correlation (MRC) methods and addresses recent controversies and emerging innovations. Areas of emphasis include linking analyses to theory-driven hypotheses, treatment of covariates in hierarchical regression models, recent debates about the testing of mediator and moderator hypotheses, and incorporating confidence intervals into reports of findings using MRC. Conclusions: Two important conceptual innovations (linking analyses closely to theory-derived hypotheses: focusing interpretations on effect sizes and confidence intervals rather than p values) can increase the scientific yield for researchers making use of MRC methods in rehabilitation psychology.
引用
收藏
页码:321 / 339
页数:19
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