个人适应指数的比较,以检测社会可取性偏见
Sanaz Nazari1, Walter L Leite1, A Corinne Huggins-Manley1
1University of Florida, Gainesville, USA.
Educational and psychological measurement
|September 4, 2023
概括
在评估中的社会可取性偏见 (SDB) 可以使用人适合指数来检测. 协议统计学是最有效的,其他指数也显示出确定响应偏差的希望.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 心理评估 心理评估
背景情况:
- 社会可取性偏差 (SDB) 是评估中的一个重大问题,可能导致测量错误和潜在变量测量的偏差.
- 个人适应指数提供了一种方法来检测偏离预期模式的响应向量,表明潜在的偏差.
研究的目的:
- 为了比较14个不同的个人适应指数在识别社会可取性偏差方面的有效性.
- 用模拟响应数据评估这些指数的表现.
主要方法:
- 模拟响应数据被生成以模拟社会可取性偏见的存在.
- 对模拟数据应用了14个不同的适合人体指数.
- 接收器操作特征 (ROC) 曲线分析,特别是曲线下的面积 (AUC),用于评估每个指标的检测精度.
主要成果:
- 与所有其他指数相比,协议统计 在检测社会可取性偏差方面表现优越.
- 不一致统计数,可靠性统计数和古特曼错误数也在识别SDB时表现出高精度 (AUC).
- 这些发现强调了特定的个人适应指数作为检测响应偏差的有效工具.
结论:
- 建议将协议统计作为寻求识别社会可取性偏差的从业人员的主要选择.
- 其他指数,包括分歧统计,可靠性统计和古特曼错误数,也对检测SDB有价值.
- 这些验证的个人适应指数可以帮助提高教育和心理评估的准确性和完整性.
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