Watson, Watson, and Stowe (1985) demonstrated that scores on some scales of the Job Descriptive Index (JDI) might not be normally distributed. As such, they recommended data transformation prior to parametric analysis of JDI scores. The present study used a Monte Carlo simulation to investigate the effect of data transformation on average correlations between JDI scores. Three degrees of nonnormality were investigated for different sample sizes and different magnitudes of correlation. In general, the results indicated that transformation of scores did not result in marked changes in the correlations. Contrary to the Watson et al. study, the present study revealed that transformation of JDI scores is probably not worthwhile.
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References
1.
Bateman, T. S. and Strasser, S. (1983). A cross-lagged regression test of the relationships between job tension and employee satisfaction. Journal of Applied Psychology, 68, 439-445.
2.
Blair, R. C. and Higgins, J. J. (1985). Comparison of the power of the paired samples t test to that of the Wilcoxon signed rank test under various population shapes. Psychological Bulletin, 97, 119-128.
3.
Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations. Journal of the Royal Statistical Society (Series b), 26, 211-243.
4.
Brannick, M. T. (1987). The development and evaluation of some models for detecting the presence of noncompensatory combinations in phenomena of interest to industrial and organizational psychologists. (Doctoral dissertation, Bowling Green State University, 1986). Dissertation Abstracts International, 47, 3564B.
5.
Dunham, R. B. , Smith, F. J., and Blackburn, R. S. (1977). Validation of the index of organizational relations with the JDI, the MSQ, and Faces Scale. Academy of Management Journal, 20, 420-432.
6.
Games, P. A. and Lucas, P. A. (1966). Power of the analysis of variance of independent groups on nonnormal and normally transformed data. Educational And Psychological Measurement, 26, 311-327.
7.
Hammer, T. H. and Landau, J. (1981). Methodological issues in the use of absence data. Journal of Applied Psychology, 66, 574-581.
8.
laffaldano, M. T. and Muchinsky, P. M. (1985). Job satisfaction and job performance: A meta-analysis. Psychological Bulletin, 97, 251-273.
9.
Johnson, S. M. , Smith, P. C., and Tucker, S. M. (1982). Response format of the Job Descriptive Index: Assessment of reliability and validity by the multitrait-multimethod matrix. Journal of Applied Psychology, 67, 500-505.
10.
Kendall, M. G. and Stuart, A. (1958). The advanced theory of statistics. New York: Hafner.
11.
Levine, D. W. and Dunlap, W. P. (1982). Power of the F test with skewed data: Should one transform or not?Psychological Bulletin, 93, 596-599.
12.
Rasmussen, J. L. (1985). Data transformation maximizing homosce-dasticity and within-group normality. Behavior Research Methods, Instruments, and Computers, 17, 411-412.
13.
Rasmussen, J. L. (1986a). Absenteeism and data transformation. Unpublished manuscript.
14.
Rasmussen, J. L. (1986b). An evaluation of parametric and nonparametric tests on modified and nonmodified data. British Journal of Mathematical and Statistical Psychology, 39, 213-220.
15.
Smith, P. C. , Kendall, L. M., and Hulin, C. L. (1969). The measurement of satisfaction in work and retirement. Chicago: Rand McNally.
16.
Tabachnick, B. G. and Fidell, L. S. (1983). Using multivariate statistics. New York: Harper and Row.
17.
Terborg, J. R. , Lee, T. W., Smith, F. J., Davis, G. A., and Turbin, M. S. (1982). Extension of the Schmidt and Hunter validity generalization procedure to the prediction of absenteeism behavior from knowledge of job satisfaction and organization commitment. Journal of Applied Psychology, 67, 440-449.
18.
Watson, C. J. , Watson, K. D., and Stowe, J. D. (1985). Univariate and multivariate distributions of the Job Descriptive Index's measures of job satisfaction. Organizational Behavior and Human Decision Processes, 35, 241-251.
19.
Yeager, S. J. (1981). Dimensionality of the Job Descriptive Index. Academy of Management Journal, 24, 205-212.
