Regression assumptions in clinical psychology research practice—a systematic review of common misconceptions

PeerJ

article

Anja F. Ernst¹  Casper J. Albers¹ 

[1] Heymans Institute for Psychological Research, University of Groningen

关键词: Linear regression;    Statistical assumptions;    Literature review;    Misconceptions about normality;   

DOI  :  10.7717/peerj.3323

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings indicate that normality of the variables themselves, rather than of the errors, was wrongfully held for a necessary assumption in 4% of papers that use regression. Furthermore, 92% of all papers using linear regression were unclear about their assumption checks, violating APA-recommendations. This paper appeals for a heightened awareness for and increased transparency in the reporting of statistical assumption checking.

【 授权许可】

CC BY