Literature DB >> 31032894

Comparison of classical and modern methods for measuring and correcting for acquiescence.

Ricardo Primi1,2, Daniel Santos2,3, Filip De Fruyt2,4, Oliver P John2,5.   

Abstract

Likert-type self-report scales are frequently used in large-scale educational assessment of social-emotional skills. Self-report scales rely on the assumption that their items elicit information only about the trait they are supposed to measure. However, different response biases may threaten this assumption. Specifically, in children, the response style of acquiescence is an important source of systematic error. Balanced scales, including an equal number of positively and negatively keyed items, have been proposed as a solution to control for acquiescence, but the reasons why this design feature worked from the perspective of modern psychometric models have been underexplored. Three methods for controlling for acquiescence are compared: classical method by partialling out the mean; an item response theory method to measure differential person functioning (DPF); and multidimensional item response theory (MIRT) with random intercept. Comparative analyses are conducted on simulated ratings and on self-ratings provided by 40,649 students (aged 11-18) on a fully balanced 30-item scale assessing conscientious self-management. Acquiescence bias was explained as DPF and it was demonstrated that: the acquiescence index is highly related to DPF; balanced scales produce scores controlled for DPF; and MIRT factor scores are highly related to scores controlled for DPF and the random intercept is highly related to DPF.
© 2019 The British Psychological Society.

Entities:  

Keywords:  multidimensional item response theory; personality assessment; random intercept model; response styles

Mesh:

Year:  2019        PMID: 31032894     DOI: 10.1111/bmsp.12168

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  4 in total

1.  Controlling for Response Biases in Self-Report Scales: Forced-Choice vs. Psychometric Modeling of Likert Items.

Authors:  Rodrigo Schames Kreitchmann; Francisco J Abad; Vicente Ponsoda; Maria Dolores Nieto; Daniel Morillo
Journal:  Front Psychol       Date:  2019-10-15

2.  How do we measure gender discrimination? Proposing a construct of gender discrimination through a systematic scoping review.

Authors:  Laura de la Torre-Pérez; Alba Oliver-Parra; Xavier Torres; Maria Jesús Bertran
Journal:  Int J Equity Health       Date:  2022-01-03

3.  SENNA Inventory for the Assessment of Social and Emotional Skills in Public School Students in Brazil: Measuring Both Identity and Self-Efficacy.

Authors:  Ricardo Primi; Daniel Santos; Oliver P John; Filip De Fruyt
Journal:  Front Psychol       Date:  2021-11-25

4.  Factorial structure of Individual Work Performance Questionnaire (Version 1.0) revisited: Evaluation of acquiescence bias.

Authors:  Zuleima Santalla-Banderali; Jesús M Alvarado
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

  4 in total

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