中文版敬畏简短测量量表的多元概化分析
Multivariate Generalizability Analysis of the Chinese Version of the Awe Short Measure
DOI: 10.12677/ap.2026.169431, PDF,   
作者: 李永飞, 吴文峰*：贵州师范大学心理学院，贵州 贵阳；曹 晴：贵州师范大学音乐学院，贵州 贵阳
关键词: 敬畏；概化理论；量表修订；Awe； Generalizability Theory； Scale Adaptation
摘要: 为完善中文版敬畏简短测量量表(Awe-SM-C)的测量学体系，本研究基于多元概化理论系统考察该量表的信度特征与误差结构。结果表明：Awe-SM-C各因子及总量表的概化系数、可靠性指数均处于良好水平，具备可靠的敬畏情绪测评效能。维度贡献分析发现，连通性、觉察因子对全域真实分数变异的实际贡献低于量表理论分值占比，其中觉察因子对相对与绝对测量误差方差的贡献最高，是主要误差来源。结论：未来可针对性修订连通性与觉察因子的题项，优化量表误差结构，提升Awe-SM-C的测量稳定性与精准度。
Abstract: To refine the psychometric framework of the Chinese version of the Awe Short Measure (Awe-SM-C), this study employed multivariate generalizability theory to systematically examine its reliability characteristics and error structure. The results showed that the generalizability coefficients and dependability indices for each subscale and the total scale were all at satisfactory levels, indicating that the Awe-SM-C reliably assesses state awe. Dimension contribution analysis revealed that the connectedness and awareness factors contributed less to the universescore variance than their theoretical proportional weights, with awareness exhibiting the highest contribution to both relative and absolute measurement error variances, making it the primary source of error. In conclusion, future revisions should focus on refining the items of the connectedness and awareness factors to optimize the error structure and thereby enhance the measurement stability and precision of the Awe-SM-C.
文章引用：李永飞, 曹晴, 吴文峰 (2026). 中文版敬畏简短测量量表的多元概化分析. 心理学进展, 16(9), 86-92. https://doi.org/10.12677/ap.2026.169431

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