THE UNBIASED BIGHT MODEL AND ITS APPLICATION TO THE DISTINCTION OF RESPONSES TO A FREE-ANSWER QUESTION IN A SOCIAL SURVEY
スポンサーリンク
概要
- 論文の詳細を見る
In the analysis of free-answer responses to a social survey questionnaire, some words similar in their dictionary definitions may sometimes need to be distinguished as responses of distinct (sub)cultural groups. A psychometric model called the bicultural generalized high threshold (BIGHT) model is presented to give a criterion to distinguish such words, based on a pattern analysis of responses to some multiple choice questions. This model includes parameters to characterize the respondents by their degrees of conformity to their cultural groups. The degrees are used in a maximum likelihood method to investigate the distinction of two groups corresponding to two similar words used as free-answer responses. This investigation can lead to the distinction of the words as responses of distinct groups. Three illustrative examples on the study of Japanese national characters are also given.
- 日本行動計量学会の論文
日本行動計量学会 | 論文
- 2. Bayesian Generalized Bradley-Terry Model using RJMCMC
- 予測変数を伴う展開型項目反応モデル(一般セッション IRT)
- 刺激が複数の要因の影響下にあるときの尺度構成法 : Bradley-Terryモデルを用いて(セッションN-11(MK202) 一般セッション 心理2)
- プログラミング演習支援のためのコンパイルエラー分析(e-learning・e-testing)
- 4.問題解決力を涵養する統計教育支援教材の研究開発(特別セッション 問題解決力を育む統計教育の展開)