An Item Response Theory Model for Socially Desirable Behavior
碩士 === 國立臺灣大學 === 心理學研究所 === 107 === In this study, a new item response theory model is developed to account for the situation where respondents overreport or underreport their actual opinion corresponding to the positive or negative direction of an issue measured in a self-report assessment. Such b...
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ndltd-TW-107NTU050710062019-06-27T05:48:10Z http://ndltd.ncl.edu.tw/handle/aq26n3 An Item Response Theory Model for Socially Desirable Behavior 社會期許行為之試題反應模型 Cheng-Han Leng 冷承翰 碩士 國立臺灣大學 心理學研究所 107 In this study, a new item response theory model is developed to account for the situation where respondents overreport or underreport their actual opinion corresponding to the positive or negative direction of an issue measured in a self-report assessment. Such behavior is conceptualized as a mechanism that not only deceives but transfers selections. In the proposed model, such mechanism is performed by incorporating a deception term into a multidimensional rating scale (MRS) model and then multiplying by a transfer term, which is performed by an indicator function and a transition matrix separately. The proposed model is presented in a Bayesian framework approximated by Markov Chain Monte Carlo (MCMC) algorithms. Through a series of simulations, the parameters under the proposed model are recovered well. The methodology is also implemented within an online experimental study to demonstrate its application. Kai-Ping Yao 姚開屏 2019 學位論文 ; thesis 62 en_US |
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碩士 === 國立臺灣大學 === 心理學研究所 === 107 === In this study, a new item response theory model is developed to account for the situation where respondents overreport or underreport their actual opinion corresponding to the positive or negative direction of an issue measured in a self-report assessment. Such behavior is conceptualized as a mechanism that not only deceives but transfers selections. In the proposed model, such mechanism is performed by incorporating a deception term into a multidimensional rating scale (MRS) model and then multiplying by a transfer term, which is performed by an indicator function and a transition matrix separately. The proposed model is presented in a Bayesian framework approximated by Markov Chain Monte Carlo (MCMC) algorithms. Through a series of simulations, the parameters under the proposed model are recovered well. The methodology is also implemented within an online experimental study to demonstrate its application.
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author2 |
Kai-Ping Yao |
author_facet |
Kai-Ping Yao Cheng-Han Leng 冷承翰 |
author |
Cheng-Han Leng 冷承翰 |
spellingShingle |
Cheng-Han Leng 冷承翰 An Item Response Theory Model for Socially Desirable Behavior |
author_sort |
Cheng-Han Leng |
title |
An Item Response Theory Model for Socially Desirable Behavior |
title_short |
An Item Response Theory Model for Socially Desirable Behavior |
title_full |
An Item Response Theory Model for Socially Desirable Behavior |
title_fullStr |
An Item Response Theory Model for Socially Desirable Behavior |
title_full_unstemmed |
An Item Response Theory Model for Socially Desirable Behavior |
title_sort |
item response theory model for socially desirable behavior |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/aq26n3 |
work_keys_str_mv |
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