Zhang Chao, Dai Buyun, Lin Lingkai
School of Psychology, Jiangxi Normal University, Nanchang, Jiangxi, People's Republic of China.
Psychol Res Behav Manag. 2023 Jul 31;16:2897-2911. doi: 10.2147/PRBM.S413162. eCollection 2023.
In 2021, Hall et al developed the Digital Stress Scale (DSS), but its psychometric characteristics were only tested using classical test theory (CTT). In this study, we use item response theory (IRT) and CTT to develop and verify a Chinese version of the DSS and its short version, which can improve the reliability and effectiveness of the digital stress measurement tool for Chinese college students.
In this study, we developed a Chinese version of the DSS (DSS-C) and recruited 1506 Chinese college students as participants to analyze its psychometric characteristics based on CTT and item response theory methods. First, we used CTT, including common method bias, construct validity, criterion-related validity, internal consistency, test-retest reliability and measurement invariance. Then, we adopted the IRT approach to examine the item parameters, item characteristics, item information, differential item function, test information, and test reliability of the DSS-C. Finally, a short form (DSS-C-S) was constructed, and the psychometric characteristics of the DSS-C-S were examined.
(1) The five-factor structure of the DSS-C was verified. The DSS-C shows good internal reliability, test-retest reliability, criterion-related validity and measurement invariance between urban college students and rural college students. (2) All 24 items had reasonable discrimination parameters and location parameters and were DIF-free by gender. Except for Items 4 and 10, all the other items had high information and measurement reliability at medium θ levels. (3) Compared with the DSS-C, the 22-item short form also has good reliability and validity and maintains sufficient measurement accuracy while reducing items of poor quality.
Both the DSS-C and the DSS-C-S have good psychometric characteristics and are accurate and effective tools for measuring the digital stress of Chinese college students.
2021年,霍尔等人开发了数字压力量表(DSS),但其心理测量特性仅使用经典测验理论(CTT)进行了测试。在本研究中,我们使用项目反应理论(IRT)和CTT来开发和验证中文版DSS及其简版,以提高针对中国大学生的数字压力测量工具的可靠性和有效性。
在本研究中,我们开发了中文版DSS(DSS-C),并招募了1506名中国大学生作为参与者,基于CTT和项目反应理论方法分析其心理测量特性。首先,我们使用CTT,包括共同方法偏差、结构效度、效标关联效度、内部一致性、重测信度和测量不变性。然后,我们采用IRT方法来检验DSS-C的项目参数、项目特征、项目信息、项目功能差异、测验信息和测验信度。最后,构建了一个简版(DSS-C-S),并检验了DSS-C-S的心理测量特性。
(1)验证了DSS-C的五因素结构。DSS-C在城市大学生和农村大学生之间显示出良好的内部信度、重测信度、效标关联效度和测量不变性。(2)所有24个项目都有合理的区分参数和位置参数,且不存在性别方面的项目功能差异。除第4项和第10项外,所有其他项目在中等θ水平下都具有高信息和测量信度。(3)与DSS-C相比,22项简版也具有良好的信度和效度,在减少低质量项目的同时保持了足够的测量准确性。
DSS-C和DSS-C-S都具有良好的心理测量特性,是测量中国大学生数字压力的准确有效工具。