Evidence map›Paper›PMID 38187899›Full record

ArticleAIMS public health2023

The quiet quitting scale: Development and initial validation.

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

Registry-linked trialAbstract read
In one paragraph

Article in AIMS public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07311187 (The Quiet Quitting Phenomenon Among Healthcare Workers), which is not on this map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07311187 active not recruitingnot on this mapstarted 2025, after this paper: background citation

The Quiet Quitting Phenomenon Among Healthcare Workers: an Observational Study

TypeobservationalSponsorIstituto Ortopedico RizzoliRan2025 to 2026Enrolled382ConditionsWell-being at WorkArmsQuiet Quitting Scale
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Petros GalanisClinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Aglaia KatsiroumpaClinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Irene VrakaDepartment of Radiology, P. & A. Kyriakou Children's Hospital, Athens, Greece.
Olga SiskouDepartment of Tourism Studies, University of Piraeus, Piraeus, Greece.
Olympia KonstantakopoulouCenter for Health Services Management and Evaluation, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Ioannis MoisoglouFaculty of Nursing, University of Thessaly, Larissa, Greece.
Parisis GallosFaculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Daphne KaitelidouCenter for Health Services Management and Evaluation, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

employeesinstrumentquiet quittingscalevalidation

Identifiers

PMID38187899
PMCPMC10764970

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.