

多元迴歸的自變數比較與多元共線性之影響:效果量、優勢性與相對權數指標的估計與應用
104
doi: 10.1207/S15327906MBR3501_1
Johnson, J. W., and LeBreton, J. M. 2004. History and use of relative importance indices in
organizational research.
Organizational Research Methods
, 7 (3): 238-257. doi:
10.1177/1094428104266510
Johnson, R. M. 1966. The minimal transformation to orthonormality.
Psychometrika
, 31 (1):
61-66. doi: 10.1007/BF02289457
Kelley, K., and Preacher, K. J. 2012. On effect size.
Psychological Methods
, 17 (2): 137-
152. doi: 10.1037/a0028086
Kraha, A., Turner, H., Nimon, K., Zientek, L. R., and Henson, R. K. 2012. The multifaceted
concept of predictor importance: Tools to support interpreting multiple regression.
Frontiers in Psychology
, 3 (44): 1-16.
LeBreton, J. M., Binning, J. F., Adorno, A. J., and Melcher, K. M. 2004. Importance of
personality and job-specific affect for predicting job attitudes and withdrawal
behaviors.
Organizational Research Methods
, 7 (3): 300-325. doi: 10.1177/
1094428104266015
LeBreton, J. M., Hargis, M. B., Griepentrog, B., Oswald, F. L., and Ployhart, R. E. 2007. A
multidimensional approach for evaluating variables in organizational research and
practice.
Personnel Psychology
, 60 (2): 475-498. doi: 10.1111/j.1744-6570.
2007.00080.x
LeBreton, J. M., Ployhart, R. E., and Ladd, R. T. 2004. AMonte Carlo comparison of relative
importance methodologies.
Organizational Research Methods
, 7 (3): 258-282.
doi: 10.1177/1094428104266017
LeBreton, J. M., and Tonidandel, S. 2008. Multivariate relative importance: Extending
relative weight analysis to multivariate criterion spaces.
Journal of Applied
Psychology
, 93 (2): 329-345. doi: 10.1037/0021-9010.93.2.329
Lynn, H. S. 2003. Suppression and confounding in action.
The American Statistician
, 57
(1): 58-61. doi: 10.1198/0003130031090
Nakagawa, S., and Cuthill, I. C. 2007. Effect size, confidence interval and statistical
significance: A practical guide for biologists.
Biological Reviews
, 82 (4): 591-605.
doi: 10.1111/j.1469-185X.2007.00027.x
Neill, J. J. 1973.
Tests of the Equality of Two Dependent Correlations
. Doctoral
dissertation, University of California, Los Angeles, CA.
Nimon, K. F., and Oswald, F. L. 2013. Understanding the results of multiple linear
regression: Beyond standardized regression coefficients.
Organizational Research