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Response Style Characterization for Repeated Measures Using the Visual Analogue Scale by Minusa, Shunsuke; Matsumura, Tadayuki; Esaki, Kanako; Shao, Yang; Yoshimura, Chihiro; Mizuno, Hiroyuki is a scholarly article available to read on EtoBox.

What is Response Style Characterization for Repeated Measures Using the Visual Analogue Scale about?

Self-report measures (e.g., Likert scales) are widely used to evaluate subjective health perceptions. Recently, the visual analog scale (VAS), a slider-based scale, has become popular owing to its ability to precisely and easily assess how people feel. These data can be influenced by the response style (RS), a user-dependent systematic tendency that occurs regardless of questionnaire instructions. Despite its importance, especially in between-individual analysis, little attention has been paid to handling the RS in the VAS (denoted as response profile (RP)), as it is mainly used for within-individual monitoring and is less affected by RP. However, VAS measurements often require repeated self-reports of the same questionnaire items, making it difficult to apply conventional methods on a Likert scale. In this study, we developed a novel RP characterization method for various types of repeatedly measured VAS data. This approach involves the modeling of RP as distributional parameters ${\theta}$ through a mixture of RS-like distributions, and addressing the issue of unbalanced data through bootstrap sampling for treating repeated measures. We assessed the effectiveness of the proposed

Author

Minusa, Shunsuke; Matsumura, Tadayuki; Esaki, Kanako; Shao, Yang; Yoshimura, Chihiro; Mizuno, Hiroyuki

Published

2024

Language

EN