Acquiescence Bias and Criterion Validity: Problems and Potential Solutions for Agree-Disagree Scales

Scholars frequently measure dispositions like populism, conspiracism, racism, and sexism by asking survey respondents whether they agree or disagree with statements exemplifying those constructs. This agree/disagree format is known to introduce acquiescence bias, which can inflate endorsement rates. The evidence is less clear, however, on how acquiescence affects criterion validity. Though many survey researchers are aware of the problem of acquiescence, we show that political scientists frequently overlook it. First, across 160 tests we show that acquiescence bias can severely distort the magnitude of relationships between constructs and even produce sign errors. Second, an internal meta-analysis indicates acquiescence bias varies in size across samples and constructs. Third, we evaluate balanced scales and measurement models as potential solutions and find that estimated relationships between constructs are sensitive to both measurement choices. We conclude with survey design advice and recommendations for redesigning several popular measures of political and psychological dispositions.

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Publication Details

Journal
Political Behavior
Published
2026-02-25
DOI
https://doi.org/10.1007/s11109-026-10124-z
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
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article

Acquiescence Bias and Criterion Validity: Problems and Potential Solutions for Agree-Disagree Scales

Andrew M. Engelhardt, Scott Clifford
Political Behavior
Psychometric Methodologies and Testing
article

Acquiescence Bias and Criterion Validity: Problems and Potential Solutions for Agree-Disagree Scales

Andrew M. Engelhardt, Scott Clifford
article en

Abstract

Scholars frequently measure dispositions like populism, conspiracism, racism, and sexism by asking survey respondents whether they agree or disagree with statements exemplifying those constructs. This agree/disagree format is known to introduce acquiescence bias, which can inflate endorsement rates. The evidence is less clear, however, on how acquiescence affects criterion validity. Though many survey researchers are aware of the problem of acquiescence, we show that political scientists frequently overlook it. First, across 160 tests we show that acquiescence bias can severely distort the magnitude of relationships between constructs and even produce sign errors. Second, an internal meta-analysis indicates acquiescence bias varies in size across samples and constructs. Third, we evaluate balanced scales and measurement models as potential solutions and find that estimated relationships between constructs are sensitive to both measurement choices. We conclude with survey design advice and recommendations for redesigning several popular measures of political and psychological dispositions.

Political Behavior
Stony Brook University (US), Texas A&M University (US)
Reduced inequalities
Openalex Percentile: Top 50%
Psychometric Methodologies and Testing
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