Date of Award

Fall 2013

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Psychology

Program/Concentration

Psychology

Committee Director

Miguel A. Padilla

Committee Member

J. Christopher Brill

Committee Member

James M. Henson

Call Number for Print

Special Collections LD4331.P65 V46 2013

Abstract

Issues with correlation attenuation due to measurement error are well documented. A corresponding correction, the deattenuated correlation, has been known for over a century. For over a decade, researchers have been investigated the deattenuated correlation identifying factors impacting its performance. Nonetheless, the deattenuated correlation is underutilized. In addition, there is limited research concerning confidence intervals for the deattenuated correlation. Here, the bootstrapped deattenuated correlation with corresponding confidence intervals is investigated for simulation conditions not previously considered simultaneously: missing data and non-normal distributions. The bootstrap deattenuated correlation was assessed for relative bias, standard error, and 95% coverage probability for the percentile based and bias-corrected and accelerated confidence intervals. With no missing data, the bootstrap deattenuated correlation performed well under all distributions except for the Pareto.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/s1m7-e190

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