ERIC Number: EJ1330023
Record Type: Journal
Publication Date: 2022-Apr
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0013-1644
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Available Date: N/A
Measuring Response Style Stability across Constructs with Item Response Trees
Educational and Psychological Measurement, v82 n2 p281-306 Apr 2022
Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to the trait of interest, threatening valid interpretation of scores. Despite claims of response style stability across scales, there has been little research into stability across multiple scales from the beneficial perspective of item response trees. This study examines an extension of the IRTree methodology to include mixed item formats, providing an empirical example of responses to three scales measuring perceptions of social media, climate change, and medical marijuana use. Results show extreme and midpoint response styles were not stable across scales within a single administration and 5-point Likert-type items elicited higher levels of extreme response style than the 4-point items. Latent trait of interest estimation varied, particularly at the lower end of the score distribution, across response style models, demonstrating as appropriate response style model is important for adequate trait estimation using Bayesian Markov chain Monte Carlo estimation.
Descriptors: Response Style (Tests), Individual Differences, Scores, Test Items, Test Bias, Reaction Time, Item Response Theory, Social Media, Climate, Drug Therapy, Marijuana, Likert Scales, Comparative Analysis, Monte Carlo Methods
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
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