1993The Journal of PsychologyRequires access

The Effects of Method Variance Within Measures

Bennett J. Tepper, Kelly Tepper

Open publisher page 31 citations

Abstract

Despite concern about method variance between measures as a bias in survey research, scholars have overlooked or ignored the effects of method variance within measures (i.e., covariation among items from the same scale that may be attributed to the method of measurement employed). Not only do few commonly used survey instruments reflect efforts to control for method variance, but guides to scale construction encourage researchers to implement strategies that enhance the effects of method variance within measures. In this article, we have argued that when method variance inflates relationships between questionnaire items, traditional psychometric indices overestimate the amount of true or construct variance that scales capture. Implications for survey research that uses fixed alternative questionnaire measures are delineated.

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What this paper is about

Despite concern about method variance between measures as a bias in survey research, scholars have overlooked or ignored the effects of method variance within measures (i.e., covariation among items from the same scale that may be attributed to the method of measurement employed). Not only do few commonly used survey instruments reflect efforts to control for method variance, but guides to scale construction encourage researchers to implement strategies that enhance the effects of method variance within measures. In this article, we have argued that when method variance inflates relationships between questionnaire items, traditional psychometric indices overestimate the amount of true or construct variance that scales capture. Implications for survey research that uses fixed alternative questionnaire measures are delineated.

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Despite concern about method variance between measures as a bias in survey research, scholars have overlooked or ignored the effects of method variance within measures (i.e., covariation among items from the same scale that may be attributed to the method of measurement employed). Not only do few commonly used survey instruments reflect efforts to control for method variance, but guides to scale construction encourage researchers to implement strategies that enhance the effects of method variance within measures. In this article, we have argued that when method variance inflates relationships between questionnaire items, traditional psychometric indices overestimate the amount of true or construct variance that scales capture. Implications for survey research that uses fixed alternative questionnaire measures are delineated.

Key concepts: Variance (accounting), Scale (ratio), Common-method variance, Psychology, Variance components, Construct (python library), Statistics, Explained variation

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