History and use of relative importance indices in organizational research

被引:681
作者
Johnson, JW
LeBreton, JM
机构
[1] Personnel Decis Res Inst, Minneapolis, MN 55414 USA
[2] Wayne State Univ, Detroit, MI 48202 USA
关键词
relative importance; multiple regression analysis; dominance analysis; relative weights; organizational research;
D O I
10.1177/1094428104266510
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The search for a meaningful index of the relative importance of predictors in multiple regression has been going on for years. This type of index is often desired when the explanatory aspects of regression analysis are of interest. The authors define 2 relative importance as the proportionate contribution each predictor makes to R considering both the unique contribution of each predictor by itself and its incremental contribution when combined with the other predictors. The purposes of this article are to introduce the concept of relative importance to an audience of researchers in organizational behavior and industrial/organizational psychology and to update previous reviews of relative importance indices. To this end, the authors briefly review the history of research on predictor importance in multiple regression and evaluate alternative measures of relative importance. Dominance analysis and relative weights appear to be the most successful measures of relative importance currently available. The authors conclude by discussing how importance indices can be used in organizational research.
引用
收藏
页码:238 / 257
页数:20
相关论文
共 71 条
[61]   The relative importance of task, citizenship, and counterproductive performance to global ratings of job performance: A policy-capturing approach [J].
Rotundo, M ;
Sackett, PR .
JOURNAL OF APPLIED PSYCHOLOGY, 2002, 87 (01) :66-80
[62]   The shifting basis of life satisfaction judgments across cultures: Emotions versus norms [J].
Suh, E ;
Diener, E ;
Oishi, S ;
Triandis, HC .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1998, 74 (02) :482-493
[63]   HOW MANY BITS OF INFORMATION DOES AN INDEPENDENT VARIABLE YIELD IN A MULTIPLE-REGRESSION [J].
THEIL, H .
STATISTICS & PROBABILITY LETTERS, 1987, 6 (02) :107-108
[64]   INFORMATION-THEORETIC MEASURES OF FIT FOR UNIVARIATE AND MULTIVARIATE LINEAR REGRESSIONS [J].
THEIL, H ;
CHUNG, CF .
AMERICAN STATISTICIAN, 1988, 42 (04) :249-252
[65]   On variable importance in linear regression [J].
Thomas, DR ;
Hughes, E ;
Zumbo, BD .
SOCIAL INDICATORS RESEARCH, 1998, 45 (1-3) :253-275
[66]  
THOMAS DR, 1999, UNPUB POINT INTERVAL
[67]   THE IMPORTANCE OF STRUCTURE COEFFICIENTS IN REGRESSION RESEARCH [J].
THOMPSON, B ;
BORRELLO, GM .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1985, 45 (02) :203-209
[68]  
WARD JH, 1969, AM EDUC RES J, V6, P467
[69]   COMMENTS ON THE PARAMORPHIC REPRESENTATION OF CLINICAL JUDGMENT [J].
WARD, JH .
PSYCHOLOGICAL BULLETIN, 1962, 59 (01) :74-76
[70]  
WHANGER JC, 2002, APPL RELATIVE IMPORT