Likert型量表的反应类别有多少?基于项目反应理论的实证研究

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH
E. C. Aybek, Çetin Toraman
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引用次数: 5

摘要

本研究调查了在项目反应理论(IRT)下Likert型量表的最佳反应类别数量。这些数据主要来自医学院和教育学院的大学生。Gozutok等人(2017)编制了一份“社会性别公平量表”,共有3、5和7个回答类别。分级反应模型(GRM)用于项目校准。研究结果表明,在量表开发过程中,在可靠性和测试信息视角方面,使用5点响应选项比使用3点响应类别具有优势。5分量表也为受访者提供了更容易的回答过程,同时在可靠性方面,与7分回答类别相比,它不会造成重大劣势。因此,根据研究结果,建议研究人员在量表开发过程中使用5点反应类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How many response categories are sufficient for Likert type scales? An empirical study based on the Item Response Theory
The current study investigates the optimum number of response categories for the Likert type of scales under the item response theory (IRT). The data was collected from university students attend to mainly the faculty of medicine and the faculty of education. A form of the “Social Gender Equity Scale” developed by Gozutok et al. (2017) was prepared, which had 3, 5 and 7-point response categories. The graded response model (GRM) was used for item calibrations. The results of the study have revealed that using a 5-point response option provides advantages over using a 3-point response category in terms of reliability and test information perspective in the scale development process. The-5 point scale also provides easier responding process for the respondents while it does not pose a major disadvantage compared to a 7-point response category in the terms of reliability. Therefore, based on the findings of the study, researchers are recommended to use a 5-point response category in their scale development process.
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来源期刊
International Journal of Assessment Tools in Education
International Journal of Assessment Tools in Education EDUCATION & EDUCATIONAL RESEARCH-
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11.10%
发文量
40
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