The quiet quitting scale: Development and initial validation

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES
Petros Galanis, Aglaia Katsiroumpa, Irene Vraka, Olga Siskou, Olympia Konstantakopoulou, Ioannis Moisoglou, Parisis Gallos, Daphne Kaitelidou
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引用次数: 0

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.

安静退出量表:开发和初步验证
& lt; abstract> & lt; sec>& lt; title> Introduction< / title>COVID-19大流行导致工作场所发生巨大变化,可能会增加员工的辞职率。虽然悄悄辞职并不是一种新现象,但没有工具可以衡量它。& lt; / sec> & lt; sec>& lt; title> Objective< / title><p>开发并验证一种评估员工安静辞职的工具。</p>& lt; / sec> & lt; sec>& lt; title> Methods< / title>< >我们通过广泛的文献回顾和对员工的采访来确定和生成项目。我们由内容专家进行内容效度,并计算内容效度比。我们通过对员工进行认知访谈和计算项目层面的脸效度指数来检验脸效度。我们进行探索性和验证性因子分析,探讨安静戒烟量表(QQS)的因子结构。我们使用哥本哈根倦怠量表(CBI)、单项倦怠量表(SIB)、工作满意度调查量表(JSS)和单项离职意向量表(JSS)来检验QQS的并发效度。我们估计了测量Cronbach’s alpha、McDonald’s omega、Cohen’s kappa和班级内相关系数的QQS的可靠性。& lt; / sec> & lt; sec>& lt; title> Results< / title>经过专家小组评审和项目分析,保留了9个具有可接受的校正项目-总相关性、项目间相关性、地板和天花板效应、偏度和峰度的项目。探索性因子分析提取了疏离、缺乏主动性和缺乏动机三个因素,共9项。验证性因子分析证实了QQS的析因结构。我们发现QQS与CBI、SIB、JSS和离职倾向有显著的相关,证实了QQS的并发效度很高。QQS的Cronbach's alpha和McDonald's omega分别为0.803和0.806。& lt; / sec> & lt; sec>& lt; title> Conclusion< / title>QQS是一种三因素九项量表,具有强大的心理测量特性。QQS是一种易于管理、简洁、可靠、有效的衡量员工悄然离职的工具。我们建议在不同的社会和文化中使用QQS来评估该工具的有效性。& lt; / sec> & lt; / abstract>
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来源期刊
AIMS Public Health
AIMS Public Health HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.80
自引率
0.00%
发文量
31
审稿时长
4 weeks
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