Response invalidity in empirical research: Causes, detection, and remedies

Research in behavioral operations management and related areas relies heavily on self‐report measures. The utility of such measures depends on the extent to which the responses are valid, meaning they correspond to the thoughts and beliefs of respondents with regard to the phenomena under study. Response validity is undermined when respondents are unwilling or unable to provide adequate responses to survey questions, an issue that has generated an array of methods for screening and evaluating survey data and dealing with dubious responses. This article uses the work of Abbey and Meloy (2017) as a point of departure to examine the causes, detection, and remedies of response invalidity. The article concludes with recommendations for future research that treats response validity and its dimensions as methods factors that should be formally incorporated into statistical models.

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Journal
UNC Libraries
Published
2025-02-21
DOI
https://doi.org/10.17615/j3hb-qk30
Primary Topic
Evaluation and Performance Assessment
Type
article
Field-Weighted Citation Impact
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article

Response invalidity in empirical research: Causes, detection, and remedies

Jeffrey R. Edwards
UNC Libraries
Evaluation and Performance Assessment
article

Response invalidity in empirical research: Causes, detection, and remedies

Jeffrey R. Edwards
article en

Abstract

Research in behavioral operations management and related areas relies heavily on self‐report measures. The utility of such measures depends on the extent to which the responses are valid, meaning they correspond to the thoughts and beliefs of respondents with regard to the phenomena under study. Response validity is undermined when respondents are unwilling or unable to provide adequate responses to survey questions, an issue that has generated an array of methods for screening and evaluating survey data and dealing with dubious responses. This article uses the work of Abbey and Meloy (2017) as a point of departure to examine the causes, detection, and remedies of response invalidity. The article concludes with recommendations for future research that treats response validity and its dimensions as methods factors that should be formally incorporated into statistical models.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 69%
Evaluation and Performance Assessment
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