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ERIC Number: EJ1037421
Record Type: Journal
Publication Date: 2014-Oct
Pages: 8
Abstractor: As Provided
Reference Count: 13
ISSN: ISSN-0013-1644
Bootstrapped Deattenuated Correlation: Nonnormal Distributions
Padilla, Miguel A.; Veprinsky, Anna
Educational and Psychological Measurement, v74 n5 p823-830 Oct 2014
Correlation attenuation due to measurement error and a corresponding correction, the deattenuated correlation, have been known for over a century. Nevertheless, the deattenuated correlation remains underutilized. A few studies in recent years have investigated factors affecting the deattenuated correlation, and a couple of them provide alternative solutions based on the deattenuated correlation. One study proposed bootstrap confidence intervals (CIs) for the deattenuated correlation. However, CI research for the deattenuated correlation is in the beginning phases. Therefore, the bootstrapped deattenuated correlation CIs are investigated for 95% coverage through a Monte Carlo simulation that includes nonnormal distributions. Overall, both the bias-corrected and accelerated (BCa) and percentile bootstrap (PB) CIs had good performance, but the BCa CIs had slightly better coverage. In addition, with the exception of the Pareto distribution, both CIs had good coverage under all simulation conditions and across all other investigated distributions (i.e., the Normal, Uniform, Triangular, Beta, and Laplace).
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A