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Related Experiment Video

Updated: Jul 9, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Acquiescent responding in partially balanced multidimensional scales.

Urbano Lorenzo-Seva¹, Pere J Ferrando

¹Research Centre for Behavioural Assessment, Faculty of Psychology, Rovira i Virgili University, Tarragona, Spain. urbano.lorenzo@urv.cat

The British Journal of Mathematical and Statistical Psychology

|December 12, 2007

Summary

This study introduces a new method to control acquiescent response bias in surveys. The technique effectively removes this bias from all questionnaire items, even in partially balanced scales, improving data accuracy.

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Area of Science:

Psychometrics
Statistical modeling

Background:

Acquiescent response bias, a tendency to agree, can distort survey results.
Existing methods for controlling this bias require perfectly balanced scales, which are rare in practice.

Purpose of the Study:

To adapt existing methods for controlling acquiescent response bias to work with partially balanced scales.
To develop a procedure that removes acquiescence variance from all items, not just balanced subsets.

Main Methods:

Adapting the rotation method proposed by Lorenzo-Seva and Rodríguez-Fornells.
Isolating acquiescence response variance into an independent factor.

Main Results:

The proposed method successfully handles partially balanced scales, unlike previous techniques.
The method effectively removes acquiescence response variance across all questionnaire items, including unbalanced subsets.

Conclusions:

This novel method enhances the validity of survey data by addressing limitations of existing bias control techniques.
The approach offers a practical solution for analyzing data from questionnaires with imperfectly balanced item wording.