项目反应理论
心理学
检验理论
编码(社会科学)
考试(生物学)
可靠性(半导体)
计量经济学
心理测量学
社会心理学
统计
认知心理学
数学
发展心理学
量子力学
生物
物理
古生物学
功率(物理)
作者
Wen Chung Wang,Hui Fang Chen,Kuan Yu Jin
标识
DOI:10.1177/0013164414528209
摘要
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to test the assumption of reverse coding and evaluate the magnitude of the wording effect. The parameters of the bi-factor IRT models can be estimated with existing computer programs. Two empirical examples from the Program for International Student Assessment and the Trends in International Mathematics and Science Study were given to demonstrate the advantages of the bi-factor approach over traditional ones. It was found that the wording effect in these two data sets was substantial and that ignoring the wording effect resulted in overestimated test reliability and biased person measures.
科研通智能强力驱动
Strongly Powered by AbleSci AI