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Summated rating scales: A Monte Carlo investigation of the effects of reliability and collinearity in regression models

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Shevlin, Mark, Miles, JNV and Bunting, Brendan (1997) Summated rating scales: A Monte Carlo investigation of the effects of reliability and collinearity in regression models. PERSONALITY AND INDIVIDUAL DIFFERENCES, 23 (4). pp. 665-676. [Journal article]

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Abstract

The practice of combining the scores of multiple item scales, by adding, to form a single composite score is ubiquitous in psychological research. This study examines the effect of such practices in relation to a simple regression model by a series of Monte Carlo simulations. A comparison is made between the addition model and the factor model under varying conditions of reliability and collinearity. It is shown that the use of composite scores will generally tend to result in an underestimation of the population regression effect when the reliability of the items comprising the composite score is low. The use of a factor model results in estimates that are closer to the population value but at the expense of increasing standard errors as the reliability decreases. (C) 1997 Elsevier Science Ltd.

Item Type:Journal article
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Psychology
Research Institutes and Groups:Psychology Research Institute
Psychology Research Institute > The Bamford Centre for Mental Health and Wellbeing
Psychology Research Institute > Health and Wellbeing
Psychology Research Institute > Psychological Epidemiology and Mental Health
ID Code:1884
Deposited By:Mrs Fiona Harkin
Deposited On:14 Dec 2009 14:42
Last Modified:14 Apr 2014 16:23

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