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Detecting Response Styles in Visual Analogue Scales
Response styles are prevalent in self-report data and may bias parameter estimates. While there are various approaches for detecting response styles in Likert-type data, models for visual analogue scales remain scarce. We propose a novel modeling framework that extends the beta item response model b
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