行動計量学
Online ISSN : 1880-4705
Print ISSN : 0385-5481
ISSN-L : 0385-5481
特集 調査法研究の新展開2
係留ビネット法による反応スタイルの分類
ヨーロッパの大規模健康調査を例に
北條 大樹岡田 謙介
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ジャーナル フリー

2018 年 45 巻 1 号 p. 13-25

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This study conducts a data-driven classification of the response styles for the 2,131 respondents of the SHARE (Survey of Health, Ageing and Retirement in Europe) survey. In the standard Likert scale measurement, item responses reflect not only the latent traits of respondents but also their response style biases which are irrelevant for the purpose of the original measurement. The anchoring vignettes is an effective method to measure and correct for such biases. In this study, we first modeled the anchoring vignettes variables in the SHARE dataset using the Bayesian multidimensional item response model. Then, we classified the estimated individual response style parameters using the divisive analysis clustering. As a result, seven different clusters of response styles were obtained. While some of them correspond to the well-documented response styles, many of the clusters of respondents exhibit unique response styles which are both interpretable and relevant. Thus, bottom-up classification approach of response styles would undertake a key role in revealing the empirical analysis of item response behavior.

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