Department of Education, Languages, Intercultures, Literatures and Psychology, (Psychology Section), University of Florence, 50135 Florence, Italy.
Department of Health Sciences (Psychology Section), University of Florence, 50135 Florence, Italy.
Int J Environ Res Public Health. 2022 Dec 14;19(24):16786. doi: 10.3390/ijerph192416786.
Gratitude is a promising resource from a healthy organizational perspective. It is related to many positive outcomes at work. The Gratitude Resentment and Appreciation Test-Revised Short (GRAT-RS) is the most widely used self-report questionnaire to detect gratitude. The present study examined GRAT-RS (the Italian version) by implementing multidimensional item response theory (MIRT) analyses to explore its psychometric properties. The participants were 537 Italian workers. Confirmatory factor analyses (CFA) of the GRAT-RS and MIRT analyses using the Grade Response Model were run. The MIRT discrimination and MIRT difficulty parameters were calculated. A test information function (TIF) and measure of reliability associated with (TIF) scores were also implemented. CFA highlighted that a bifactor model showed the best fit. Hence, MIRT analyses were carried out by implementing a bifactor model. The MIRT bifactor structure showed a good data fit with discrimination parameters ranging from good to excellent and adequate reliability. The good psychometric properties of GRAT-RS were confirmed, highlighting the questionnaire as a reliable tool to measure gratitude in Italian workers.
从健康的组织视角来看,感恩是一种很有前景的资源。它与工作中的许多积极成果有关。感恩怨恨和欣赏测试修订短版(GRAT-RS)是最广泛使用的自我报告问卷,用于检测感恩。本研究通过实施多维项目反应理论(MIRT)分析来检验 GRAT-RS(意大利语版),以探索其心理测量特性。参与者为 537 名意大利工人。对 GRAT-RS 的验证性因素分析(CFA)和使用等级反应模型的 MIRT 分析进行了运行。计算了 MIRT 区分度和 MIRT 难度参数。还实施了测试信息函数(TIF)和与(TIF)分数相关的可靠性度量。CFA 强调,双因素模型显示出最佳拟合。因此,通过实施双因素模型进行了 MIRT 分析。MIRT 双因素结构显示出良好的数据拟合度,区分度参数范围从良好到优秀,可靠性适中。GRAT-RS 的良好心理测量特性得到了证实,突出了该问卷是衡量意大利工人感恩之情的可靠工具。