用瑟斯顿的IRT模型构建强制选择问卷的贡献
Luning Sun1, Zijie Qin2, Shan Wang2
1The Psychometrics Centre, University of Cambridge.
Multivariate behavioral research
|September 30, 2023
概括
构建强制选择问卷需要仔细选择项目. 匹配项目可取性和考虑因子负载可以提高得分可靠性,特别是在具有不平等关键的项目中.
科学领域:
- 心理测量 心理测量
- 量化心理学 量化心理学
背景情况:
- 强迫选择问卷将项目分成块进行排名,以尽量减少响应扭曲.
- 块构造需要平衡项目可取性,并考虑项目特征关系 (因素负载).
研究的目的:
- 为构建最佳的强制选择项目块提供基于证据的建议.
- 调查项目可取性和因子负载对得分可靠性的影响.
主要方法:
- 使用项目对进行了模拟和经验研究.
- 分析的重点是项目可取性,键入方向和块内的因子加载差异.
主要成果:
- 最大限度地提高区块内加载差异,提高得分可靠性,当项目按键在相同的方向.
- 包括少量的不平等关键的项目对进一步提高了可靠性.
结论:
- 最佳的强制选择块构造包括匹配项目可取性,并仔细考虑因子负载.
- 不平等关键项目的战略性纳入可以显著提高强制选择措施的可靠性.
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