Zhang Jing, Feng Rui, Li Zheyan, Liang Hongyu, Jin Tonglin, A Yunna, Li Xiaoyu
School of Psychology, Inner Mongolia Normal University, Hohhot, China.
Mental Education Research Center, Key Research Base of Humanities and Social Science in Inner Mongolia Colleges and Universities, Hohhot, China.
Sci Rep. 2024 Dec 30;14(1):31788. doi: 10.1038/s41598-024-82662-7.
The purpose of this study was to evaluate the psychometric properties of the Chinese version of the Revised Indebtedness Scale (IS-R-C) in mainland China. A total of 1057 university students participated in this study using a two-wave whole-group sampling method. Sample 1, consisting of 537 participants, was used for item analysis and exploratory factor analysis (EFA) of the Revised Indebtedness Scale (IS-R). Sample 2, comprising 520 participants, was used for confirmatory factor analysis (CFA), reliability analysis and gender invariance test. To assess criterion validity, the Social Avoidance and Distress Scale (SADS), the Renqing Questionnaire (RQQ) and the Subjective Well-being Scale (SWBS) were administered. The results of the item analysis and EFA indicated that the IS-R-C comprises 12 items, delineated into two dimensions: pressure to repay and requirements for interaction. CFA further substantiated this two-factor model for the IS-R-C (χ/df = 4.24, RMSEA = 0.079, GFI = 0.94, NFI = 0.91, IFI = 0.93, TLI = 0.91, CFI = 0.93 and SRMR = 0.062). The total score of the IS-R-C exhibited a significant positive correlation with both the SADS score (r = 0.34, p < 0.001) and the RQQ score (r = 0.34, p < 0.001). Additionally, it demonstrated a negative correlation with the SWBS score (r = -0.09, p < 0.05). The Cronbach's α coefficient for the overall IS-R-C score was 0.88, indicating high internal consistency. The scale demonstrated a split-half reliability coefficient of 0.73 and a composite reliability coefficient of 0.91. The reliability coefficients for the two subscales were 0.77 and 0.87. Furthermore, the IS-R-C exhibited measurement invariance across gender identities. The IS-R-C demonstrates satisfactory psychometric properties, making it a suitable measure for studying indebtedness and related research in China.
本研究旨在评估中文版修订后的负债量表（IS-R-C）在中国内地的心理测量特性。共有1057名大学生采用两波整组抽样方法参与了本研究。样本1由537名参与者组成，用于修订后的负债量表（IS-R）的项目分析和探索性因素分析（EFA）。样本2由520名参与者组成，用于验证性因素分析（CFA）、信度分析和性别不变性检验。为评估效标效度，施测了社交回避与苦恼量表（SADS）、人情问卷（RQQ）和主观幸福感量表（SWBS）。项目分析和EFA的结果表明，IS-R-C由12个项目组成，分为两个维度：还款压力和互动要求。CFA进一步证实了IS-R-C的这一双因素模型（χ/df = 4.24，RMSEA = 0.079，GFI = 0.94，NFI = 0.91, IFI = 0.93, TLI = 0.91, CFI = 0.93, SRMR = 0.062）。IS-R-C的总分与SADS得分（r = 0.34，p < 0.001）和RQQ得分（r = 0.34，p < 0.001）均呈显著正相关。此外，它与SWBS得分呈负相关（r = -0.09，p < 0.05）。IS-R-C总分的Cronbach's α系数为0.88，表明内部一致性较高。该量表的分半信度系数为0.73，组合信度系数为0.91。两个子量表的信度系数分别为0.77和0.87。此外，IS-R-C在不同性别身份上表现出测量不变性。IS-R-C表现出令人满意的心理测量特性，使其成为研究中国负债情况及相关研究的合适测量工具。
