This study is based on a review of several papers on multiple
regression (with an emphasis on moderated regression) that have
recently been published in the Journal of Management and elsewhere.
Independent contributions from each of these articles suggest six sets
of questions and/or conclusions that might motivate future
researchers in this area, and we call for research which integrates the
questions into unified studies.
Get full access to this article
View all access options for this article.
References
1.
Anscombe, F. (1973). Graphs in statistical analyses. The American Statistician, 27: 17-21.
2.
Arnold, H. & Evans, M. (1979). Testing multiplicative models does not require ratio scales. Organizational Behavior and Human Performance , 24: 41-59.
3.
Bartlett, C., Bobko, P., & Pine, S. (1977). Single-group validity: Fallacy of the facts? Journal of Applied Psychology, 62: 155-157.
4.
Bedeian, A. & Mossholder, K. (1994). Simple question, not so simple answer: Interpreting interaction terms in moderated multiple regression . Journal of Management, 20(1): 159-165.
5.
Bobko, P. (1986). A solution to some dilemmas when testing hypotheses about ordinal interactions. Journal of Applied Psychology , 71: 323-326.
6.
. ( 1990). Multivariate correlational data analysis. Pp. 637-686 in M. Dunnette & L. Hough (Eds.), Handbook of industrial and organizational psychology , Vol. 1, 2nd ed. Palo Alto, CA: Consulting Psychologists Press.
7.
. (In press). Correlation and regression in industrial/organizational psychology and management . New York: McGraw-Hill .
8.
Bobko, P. & Bartlett, C.J. (1978). Subgroup validities: Differential definitions and differential predictions. Journal of Applied Psychology, 63: 12-14.
9.
Busemeyer, J. & Jones, L. (1983). Analysis of multiplicative combination rules when the causal variables are measured with error. Psychological Bulletin, 93: 549-562.
10.
Castaneda, M., Levin, J., & Dunham, R. (1993). Using planned comparisons in management research: A case for the Bonferroni procedure. Journal of Management , 19: 707-724.
11.
Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: Lawrence Erlbaum.
12.
Evans, M. (1991). The problem of analyzing multiplicative composites . American Psychologist, 46: 6-15.
13.
Linn, R. (1978). Single-group validity, differential validity, and differential prediction. Journal of Applied Psychology , 63: 507-512.
14.
McClelland, G. & Judd, C. (1993). Statistical difficulties of detecting interactions and moderator effects. Psychological Bulletin, 114: 376-390.
15.
Pedhazur, E. (1982). Multiple regression in behavioral research, 2nd ed. New York: Holt, Rinehart, & Winston.
16.
Russell, C. & Bobko, P. (1992). Moderated regression analysis and Likert scales: Too coarse for comfort. Journal of Applied Psychology, 77: 336-342.
17.
Russell, C., Pinto, J., & Bobko, P. (1991). Appropriate moderated regression and inappropriate research strategy: A demonstration of the need to give your respondents space . Applied Psychological Measurement, 15: 257-266.
18.
Schepanski, A. (1983). The predictive ability criterion in experimental judgment research in accounting. Decision Sciences, 14: 503-512.
19.
Stone-Romero, E., Alliger, G., & Aguinis, H. (1994). Type II error problems in the use of moderated multiple regression for the detection of moderating effects for dichotomous variables. Journal of Management, 20(1): 168-178.
20.
Strube, M. & Bobko, P. (1989). Testing hypotheses about ordinal interactions: Simulations and further comments. Journal of Applied Psychology , 74: 247-252.
21.
Weinzimmer, L., Mone, M., & Alwan, L. (1994). An examination of perceptions and usage of regression diagnostics in organization studies. Journal of Management , 20(1): 179-192.
22.
Wilson, W. (1962). A note on the inconsistency inherent in the necessity to perform multiple comparisons. Psychological Bulletin, 59: 296-300.