Psychometric Properties of the Chinese Version of the Gratitude at Work Scale in Employed Nurses: A Cross-Sectional Study

Author:

YANG Chiu-YuehORCID,YOUNG Mu-HsiORCID,BECKSTEAD Jason1ORCID

Affiliation:

1. PhD, Professor, College of Public Health, University of South Florida, USA

Abstract

ABSTRACT Background The Gratitude at Work Scale, originally developed by American scholars, has been widely administered to mental health professionals and human service workers to explore gratitude in the workplace. No Chinese-language instrument is currently available for assessing workplace gratitude. Purposes The aims of this study were to (a) translate the original English version of the Gratitude at Work Scale into a traditional Chinese version (TC-GAWS), confirm its factor structure, and analyze its psychometric properties among newly employed nurses and (b) develop and evaluate the psychometric properties of the TC-GAWS short form. Methods A psychometric study using a cross-sectional web-based design was conducted in Taiwan. Three hundred twenty-two employed nurses completed a battery of self-administered online questionnaires that included a demographic datasheet, the Gratitude Questionnaire–Six-Item Form, the Connor–Davidson Resilience Scale-10, and the Thoughts of Quitting Scale. IBM SPSS 24.0 and AMOS 28.0 were used for data analysis, and Cronbach's alpha and Pearson's correlation were used to assess reliability and concurrent validity. Exploratory factor analysis and confirmatory factor analysis (CFA) were conducted. Results The internal consistency and stability of the TC-GAWS total scale were .88 and .91, respectively. The exploratory factor analysis showed a satisfactory Kaiser–Meyer–Olkin value of .88 and a Bartlett's test value of 654.01 (p < .001), suggesting that 64.55% of the total variance was explained by the two-factor TC-GAWS. After item reduction, the CFA of the six remaining items of the TC-GAWS short form revealed adequate fit statistics for a two-factor structure and a second-order factor. Strong correlations were found between the 10-item and six-item TC-GAWS (r > .94) in the two samples, suggesting good concurrent validity. The overall scores for the 10-item and six-item TC-GAWS had similar convergent validity, with moderate-to-strong correlations for the Gratitude Questionnaire–Six-Item Form (r = .45 and .540), Connor–Davidson Resilience Scale-10 (r = .49 and .51), and Thoughts of Quitting Scale (r = −.57 and −.53). The CFA yielded a two-factor, six-item model that exhibited good fit with the latent constructs of χ2/df = 11.06/8 = 1.38, p = .198, comparative fit index = .996, goodness-of-fit index = .979, root mean square error of approximation = .045, root mean square residual = .030, and standardized root mean squared residual = .023. Conclusions/Implications for Practice Both the 10- and six-item TC-GAWS instruments demonstrated good reliability and validity in nurse participants. The TC-GAWS may be used to measure gratitude in nurses in the workplace. This instrument has the potential to facilitate a better understanding of gratitude in nurses, which may be applied to the improvement of nursing management, research, and education.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference29 articles.

1. Perspectives of nurses regarding total rewards and their preferences in Thailand: A qualitative descriptive study;International Nursing Review,2022

2. How nurse preceptors provide help to new nurses influences perceived relationship quality;Nurse Education Today,2022

3. Role transition from education to practice and its impact on the career futures of Omani nurses;Nurse Education in Practice,2023

4. Testing the equality of two independent α coefficients adjusted by the Spearman–Brown formula;Applied Psychological Measurement,1999

5. Short forms of two condition-specific quality-of-life questionnaires for women with pelvic floor disorders (PFDI-20 and PFIQ-7);American Journal of Obstetrics and Gynecology,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3