The Practical Utility of Importance Measures in Assessing the Relative Importance of Work-Related Perceptions and Organizational Characteristics on Work-Related Outcomes

The utility of dominance analysis and other importance indices is the subject of much debate in determining the relative importance of predictors in multiple regression. The goal in conducting this research was to bring an applied perspective to this issue by comparing the conclusions one would draw regarding predictors’ relative importance, when using various indices of importance with real-world data sets. The overall results indicate that researchers would reach only minor differences in their conclusions when using dominance analysis or other importance indices as compared to simply examining the traditional standardized beta weights or squared semipartial correlations. The lack of differences in conclusions drawn is particularly apparent when comparing the rank ordering of the predictor importance produced by the different indices.

[1]  Allan P. Jones,et al.  Psychological Climate: Dimensions and Relationships. , 1975 .

[2]  Douglas J. Sego,et al.  FACTORS AFFECTING THE OPPORTUNITY TO PERFORM TRAINED TASKS ON THE JOB , 2006 .

[3]  M. Dickson,et al.  Perceptions of Organizational Culture and Women's Advancement in Organizations: A Cross-Cultural Examination , 2001 .

[4]  Robert L. Dipboye,et al.  Perceptions of Organizational Politics: An Investigation of Antecedents and Consequences , 1995 .

[5]  M. J. Healy.  Measuring importance. , 1990, Statistics in medicine.

[6]  P. Hoffman.  The paramorphic representation of clinical judgment. , 1960, Psychological bulletin.

[7]  Yiu-Fai Yung,et al.  An alternative method for evaluating congruence coefficients with Procrustes rotation: A bootstrap procedure. , 1999 .

[8]  J. W. Johnson.  A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression , 2000, Multivariate behavioral research.

[9]  D. Budescu.  Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. , 1993 .

[10]  Wayne M. Wormley,et al.  Effects of Race on Organizational Experiences, Job Performance Evaluations, and Career Outcomes , 1990 .

[11]  Jodi S. Goodman,et al.  Organization-Level Determinants of Women in Management , 1994 .

[12]  R. Darlington,et al.  Multiple regression in psychological research and practice. , 1968, Psychological bulletin.

[13]  D. Budescu,et al.  The dominance analysis approach for comparing predictors in multiple regression. , 2003, Psychological methods.

[14]  Allan S. Cohen,et al.  A Mixture Item Response Model for Multiple-Choice Data , 2001 .

[15]  W. Gibson.  Orthogonal Predictors: A Possible Resolution of the Hoffman-Ward Controversy , 1962 .

[16]  Daniel M. Bolt,et al.  A Monte Carlo Comparison of Parametric and Nonparametric Polytomous DIF Detection Methods , 2002 .

[17]  Model Selection in Structural Equation Models With Continuous and Polytomous Data , 2001 .

[18]  Allan P. Jones,et al.  Psychological climate: Dimensions and relationships of individual and aggregated work environment perceptions☆ , 1979 .

[19]  Henri Theil,et al.  How many bits of information does an independent variable yield in a multiple regression , 1987 .

[20]  A. Béguin,et al.  MCMC estimation and some model-fit analysis of multidimensional IRT models , 2001 .

[21]  P. Hoffman,et al.  Assessment of the independent contributions of predictors. , 1962, Psychological bulletin.

[22]  Robert E. Ployhart,et al.  A Monte Carlo Comparison of Relative Importance Methodologies , 2004 .

[23]  R. Klimoski,et al.  Estimating the validity of cross-validity estimation , 1986 .