Measuring Motivation to Take Low-Stakes Large-Scale Test: New Model Based on Analyses of “Participant-Own-Defined” Missingness
Publication in refereed journal
已正式接受出版

香港中文大學研究人員

引用次數
Scopus ( 22/11/2020)
替代計量分析
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其它資訊
摘要In large-scale low-stake assessment such as the Programme for International Student Assessment (PISA), students may skip items (missingness) which are within their ability to complete. The detection and taking care of these noneffortful responses, as a measure of test-taking motivation, is an important issue in modern psychometric models. Traditional approaches based on questionnaires and item response theory may have different limitations. In the present research, we proposed a new way by directly using “participant-own-defined” missing item information (user missingness) in a zero-inflated Poisson model. An empirical study using the PISA 2015 data (eight representative economies in two cultures) and another simulation study were conducted to validate our new approach. Results indicated that our model could successfully capture test-taking motivation. We also found that the Confucian students had lower user missingness irrespective of item positions as compared with their Western counterparts.
出版社接受日期22.03.2020
著者Yuan Liu, Kit-Tai Hau
期刊名稱Educational and Psychological Measurement
出版年份2020
出版社SAGE Publications
國際標準期刊號0013-1644
語言英式英語
關鍵詞test-taking motivation, user missingness, zero-inflated Poisson model, position effect, culture

上次更新時間 2020-22-11 於 23:51