COMPUTER PROGRAMS FOR COMPARING DEPENDENT CORRELATIONS
DOI:
https://doi.org/10.19083/ridu.10.495Keywords:
Computer Software, Statistics, Correlation, Dependent CorrelationsAbstract
There are a variety of techniques for testing the differences between dependent correlations that are not available using the standard statistical software packages. Examples of these techniques for examining different hypotheses within the dependent correlational realm are presented along with the output and interpretation from easily attainable, user-friendly, interactive software.Downloads
References
Boyer, J. E., Palachek, A. D., & Schucany, W. R. (1983). An empirical study of related correlation coefficients. Journal of Educational Statistics, 8(1), 75-86.
Diedenhofen, B. & Musch, J. (2015). cocor: A comprehensive solution for the statistical comparison of correlations. PLoS One, 10(4) doi: http://dx.doi.org/10.1371/journal.pone:0121945
Dunn, O. J., & Clark, V. A. (1969). Correlation coefficients measured on the same individuals. Journal of the American Statistical Association, 64(325), 366-377.
Grygiel, P., Humenny, G., Rebisz, S., Świtaj, P., & Sikorska, J. (2013). Validating the Polish adaptation of the 11-item De Jong Gierveld Loneliness Scale. European Journal of Psychological Assessment, 29(2), 129-139. doi: http://dx.doi.org/10.1027/1015-5759/a000130
Hendrickson, G. F., Stanley, J. C., & Hills, J. R. (1970). Olkin’s new formula for significance of r13 vs r23 compared with Hotelling’s method. American Educational Research Journal, 7(2), 189-195. doi: http://dx.doi.org/10.3102/00028312007002189
Hill, A. P., Hall, H. K., & Appleton, P. R. (2010). A comparative examination of the correlates of self-oriented perfectionism and conscientious achievement striving in male cricket academy players. Psychology of Sport and Exercise, 11(2), 162-168. doi: http://dx.doi.org/10.1016/j.psychsport.2009.11.001
Hittner, J. B. (2000). Novel methods for analyzing multifaceted personality scales: Sense of coherence and depression as an example. The Journal of Psychology, 134(2), 199-209. doi: http://dx.doi.org/10.1080/00223980009600862
Hittner, J. B., May, K., & Silver, N. C. (2003). A Monte Carlo evaluation of tests for comparing dependent correlations. The Journal of General Psychology, 130(2), 149-168. doi: http://dx.doi.org/10.1080/00221300309601282
Hittner, J. B., Finger, M. S., Mancuso, J. P., & Silver, N. C. (1995). A Microsoft FORTRAN 77 program for contrasting part correlations and related statistics. Educational and Psychological Measurement, 55(5), 777-784. doi: http://dx.doi.org/10.1177/0013164495055005010
Hotelling, H. (1940). The selection of variates for use in prediction, with some comments on the general problem of nuisance parameters. Annals of Mathematical Statistics, 11(3), 271-283.
Kalick, S. M., Zebrowitz, L. A., Langlois, J. H., & Johnson, R. M. (1998). Does human facial attractiveness honestly advertise health? Longitudinal data on an evolutionary question. Psychological Science, 9(1), 8-13. doi: http://dx.doi.org/10.1111/1467-9280.00002
Kemtes, K. A., & Allen, D. N. (2008). Presentation modality influences WAIS Digit Span performance in younger and older adults. Journal of Clinical and Experimental Neuropsychology, 30(6), 661-665. doi: http://dx.doi.org/10.1080/13803390701641414
Malgady, R. G. (1987). Contrasting part correlations in regression models. Educational and Psychological Measurement, 47(4), 961-965. doi: http://dx.doi.org/10.1177/0013164487474011
May, K., & Hittner, J. B. (1997). Tests for comparing dependent correlations revisited: A Monte Carlo study. The Journal of Experimental Education, 65(3), 257-269. doi: http://dx.doi.org/10.1080/00220973.1997.9943458
Meng, X. L., Rosenthal, R., & Rubin, D. B. (1992). Comparing correlated correlation coefficients. Psychological Bulletin, 111, 172-175. doi: http://dx.doi.org/10.1037/0033-2909.111.1.172
Neill, J. J., & Dunn, O. J. (1975). Equality of dependent correlation coefficients. Biometrics, 31(2), 531-543.
Olkin, I. (1967). Correlations revisited. In J. C. Stanley (Ed.), Improving experimental design and statistical analysis (pp. 102-128). Chicago: Rand McNally.
Pearson, K., & Filon, L. G. N. (1898). Mathematical contributions to the theory of evolution. IV. On the probable errors of frequency constants and on the influence of random selection on variation and correlation. Transactions of the Royal Society London (Series A), 191, 229–311. doi: http://dx.doi.org/10.1098/rsta.1898.0007
Schroeder, P. J. (2014). The effects of age on processing and storage in working memory span tasks and reading comprehension. Experimental Aging Research, 40(3), 308-331. doi: http://dx.doi.org/10.1080/0361073X.2014.896666
Sidanius, J., Kteily, N., Levin, S., Pratto, F., & Obaidi, M. (2016). Support for asymmetric violence among Arab populations: The clash of cultures, social identity, or counterdominance? Group Processes & Intergroup Relations, 19(3), 343-359. doi: http://dx.doi.org/10.1177/1368430215577224
Silver, N. C., & Dunlap, W. P. (1987). Averaging correlation coefficients: Should Fisher’s z transformation be used? Journal of Applied Psychology, 72, 146-148.
Silver, N. C., Hittner, J. B., & May, K. (2004). Testing dependent correlations with nonoverlapping variables: A Monte Carlo simulation. The Journal of Experimental Education, 73, 53-69. doi: http://dx.doi.org/10.3200/JEXE.71.1.53-70
Silver, N. C., Hittner, J. B., & May, K. (2006). A FORTRAN 77 program for testing dependent correlations. Applied Psychological Measurement, 30(2), 152-153. doi: http://dx.doi.org/10.1177/0146621605277132
Silver, N. C., Ullman, J. R., & Picker, C. (2015). COMPCOR: A computer program for comparing correlations using confidence intervals. Psychology and Cognitive Sciences, 1, 26-28.
Spinath, B., & Spinath, F. M. (2005). Development of self perceived ability in elementary school: The role of parents’ perceptions, teacher evaluations, and intelligence. Cognitive Development, 20(2), 190-204. doi: http://dx.doi.org/10.1016/j.cogdev.2005.01.001
Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87(2), 245-251. doi: http://dx.doi.org/10.1037/0033-2909.87.2.245
Wilcox, R. R., & Tian, T. (2008). Comparing dependent correlations. The Journal of General Psychology, 135, 105-112.
Wilker, S., Pfeiffer, A., Kolassa, S., Koslowski, D., Elbert, T., & Kolassa, I. T. (2015). How to quantify exposure to traumatic stress? Reliability and predictive validity of measures for cumulative trauma exposure in a post-conflict population. European Journal of Psychotraumatology, 6. doi: http://dx.doi.org/10:3402/ejpt.v6.28306
Williams, E. J. (1959). The comparison of regression variables. Journal of the Royal Statistical Society, Series B, 21(2), 396-399.
Yoo, H. C., Steger, M. F., & Lee, R. M. (2010). Validation of the subtle and blatant racism scale for Asian American college students (SABR-A2). Cultural Diversity and Ethnic Minority Psychology, 16(3), 323-334. doi: http://dx.doi.org/10.1037/a0018674
Zou , G. Y. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399-413. doi: http://dx.doi.org/10.1037/1082-989X.12.4.399
