The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A Monte Carlo Evaluation of Tests for Comparing Dependent Correlations
Abstract
The authors conducted a Monte Carlo simulation of 8 statistical tests for comparing dependent zero-order correlations. In particular, they evaluated the Type I error rates and power of a number of test statistics for sample sizes (Ns) of 20, 50, 100, and 300 under 3 different population distributions (normal, uniform, and exponential). For the Type I error rate analyses, the authors evaluated 3 different magnitudes of the predictor-criterion correlations (rho(y,x1) = rho(y,x2) = .1, .4, and .7). For the power analyses, they examined 3 different effect sizes or magnitudes of discrepancy between rho(y,x1) and rho(y,x2) (values of .1, .3, and .6). They conducted all of the simulations at 3 different levels of predictor intercorrelation (rho(x1,x2) = .1, .3, and .6). The results indicated that both Type I error rate and power depend not only on sample size and population distribution, but also on (a) the predictor intercorrelation and (b) the effect size (for power) or the magnitude of the predictor-criterion correlations (for Type I error rate). When the authors considered Type I error rate and power simultaneously, the findings suggested that O. J. Dunn and V. A. Clark's (1969) z and E. J. Williams's (1959) t have the best overall statistical properties. The findings extend and refine previous simulation research and as such, should have greater utility for applied researchers.
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Cites
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“However, it is important to note that the version of Williams’s t that May and Hittner simulated, and which was originally published in Hendrickson, Stanley, and Hills (1970), is mathematically different from the Williams’s t that has been reported by others (e.g., Neill & Dunn, 1975; Steiger, 1980).”
MethodResultInfluentialAmerican Educational Research Journal, 1964-1968
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Self-citationThe Comparison of Regression Variables
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Service value revisited: Specifying a higher-order, formative measure
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Metadata
- Authors
- Hittner, J. B., May, K., & Silver, N. C.
- Venue
- The Journal of General Psychology
- Publisher
- Informa UK Limited
- Published
- 2003-04
- Volume
- 130
- Issue
- 2
- Pages
- 149-168
- ISSN
- 0022-1309 (ISSN-L)
- 1940-0888
- OpenAlex
- W2038264143
- Cited by
- 425
- References
- 19
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- closed
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