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“安静离职”量表:编制与初步验证

The quiet quitting scale: Development and initial validation.

作者信息

Galanis Petros, Katsiroumpa Aglaia, Vraka Irene, Siskou Olga, Konstantakopoulou Olympia, Moisoglou Ioannis, Gallos Parisis, Kaitelidou Daphne

机构信息

Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.

Department of Radiology, P. & A. Kyriakou Children's Hospital, Athens, Greece.

出版信息

AIMS Public Health. 2023 Oct 17;10(4):828-848. doi: 10.3934/publichealth.2023055. eCollection 2023.

Abstract

INTRODUCTION

COVID-19 pandemic causes drastic changes in workplaces that are likely to increase quite quitting among employees. Although quiet quitting is not a new phenomenon, there is no instrument to measure it.

OBJECTIVE

To develop and validate an instrument assessing quiet quitting among employees.

METHODS

We identified and generated items through an extensive literature review and interviews with employees. We carried out the content validity by content experts and we calculated the content validity ratio. We checked face validity by conducting cognitive interviews with employees and calculating the item-level face validity index. We conducted exploratory and confirmatory factor analysis to investigate the quiet quitting scale (QQS) factorial structure. We checked the concurrent validity of the QQS using four other scales, i.e., Copenhagen burnout inventory (CBI), single item burnout (SIB) measure, job satisfaction survey (JSS) and a single item to measure turnover intention. We estimated the reliability of the QQS measuring Cronbach's alpha, McDonald's omega, Cohen's kappa and intraclass correlation coefficient.

RESULTS

After expert panel review and item analysis, nine items with acceptable corrected item-total correlations, inter-item correlations, floor and ceiling effects, skewness and kurtosis were retained. Exploratory factor analysis extracted three factors, namely detachment, lack of initiative and lack of motivation, with a total of nine items. Confirmatory factor analysis confirmed this factorial structure for QQS. We found statistically significant correlations between QQS and CBI, SIB, JSS and turnover intention confirming that the concurrent validity of the QQS was great. Cronbach's alpha and McDonald's omega of the QQS were 0.803 and 0.806 respectively.

CONCLUSION

QQS, a three-factor nine-item scale, has robust psychometric properties. QQS is an easy-to-administer, brief, reliable and valid tool to measure employees' quiet quitting. We recommend the use of the QQS in different societies and cultures to assess the validity of the instrument.

摘要

引言

新冠疫情导致工作场所发生巨大变化,这可能会使员工中“消极怠工”的情况增多。尽管消极怠工并非新现象,但尚无衡量它的工具。

目的

开发并验证一种评估员工消极怠工情况的工具。

方法

我们通过广泛的文献综述和对员工的访谈来确定并生成条目。我们由内容专家进行内容效度评估,并计算内容效度比。我们通过对员工进行认知访谈并计算条目层面的表面效度指数来检验表面效度。我们进行探索性和验证性因素分析以研究消极怠工量表(QQS)的因子结构。我们使用其他四个量表,即哥本哈根倦怠量表(CBI)、单项倦怠(SIB)测量、工作满意度调查(JSS)以及一个测量离职意愿的单项量表,来检验QQS的同时效度。我们估计QQS测量的信度,计算克朗巴哈系数、麦克唐纳欧米伽系数、科恩卡帕系数和组内相关系数。

结果

经过专家小组评审和条目分析,保留了九个条目不接受校正的条目 - 总分相关、条目间相关、地板效应和天花板效应、偏度和峰度。探索性因素分析提取了三个因子,即超脱、缺乏主动性和缺乏动力,共九个条目。验证性因素分析证实了QQS的这一因子结构。我们发现QQS与CBI、SIB、JSS和离职意愿之间存在统计学上的显著相关性,证实了QQS具有良好的同时效度。QQS的克朗巴哈系数和麦克唐纳欧米伽系数分别为0.803和0.806。

结论

QQS是一个包含三个因子、九个条目的量表,具有稳健的心理测量学特性。QQS是一种易于实施、简短、可靠且有效的工具,用于测量员工的消极怠工情况。我们建议在不同社会和文化中使用QQS来评估该工具的效度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ff/10764970/21e1b8d093a4/publichealth-10-04-055-g001.jpg

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