Quiet Quitting Behavior Scale

Authors

Purpose

Historically, attempts to measure Quiet Quitting have relied heavily on Western-centric models or repurposed scales assessing turnover intention and job engagement. These approaches often fail to capture the nuanced, non-confrontational ways Employees in collectivist societies navigate workplace dissatisfaction. In environments where overt rebellion is culturally discouraged, workers may maintain surface-level compliance while covertly withdrawing discretionary effort. The QQBS was developed to bridge this exact measurement gap by providing a culturally attuned, behaviorally specific instrument.

For researchers and organizational leaders, the QQBS offers a precise lens to differentiate Quiet Quitting from related constructs like burnout or laziness. By focusing on observable behaviors—such as the refusal to take on uncompensated extra duties—the scale allows for more accurate tracking of employee withdrawal in high-stress sectors like healthcare, ultimately informing better intervention strategies.

Construct

The psychological construct of Quiet Quitting is framed not as mere apathy, but as an active, adaptive coping mechanism. The theoretical foundation of the QQBS integrates Cognitive Dissonance Theory and Labor Alienation Theory, positing that Employees reduce their work input to resolve the internal conflict caused by high demands and low rewards. It represents a strategic recalibration of the psychological contract between employer and employee.

The QQBS operationalizes this construct through two distinct but interrelated dimensions. The first, Role Contraction and Behavioral Inertia, captures the outward behavioral shift where Employees strictly adhere to their job descriptions and decline extra-role tasks. The second, Cognitive Collapse and psychological detachment, measures the internal, mental distancing from the workplace. Together, these dimensions provide a holistic view of an employee who is physically present but psychologically and behaviorally disengaged.

Validity

The validation process for the QQBS was comprehensive, ensuring the instrument accurately captures the intended construct. Content validity was initially established through multiple rounds of Delphi expert consultations, which refined the item pool to ensure relevance and clarity. Construct validity was subsequently confirmed through rigorous factor analytic techniques, demonstrating that the items cleanly loaded onto their respective theoretical dimensions without problematic cross-loading.

Furthermore, the researchers established strong criterion-related validity by examining how the QQBS scores interacted with established workplace metrics. As expected theoretically, the scale demonstrated significant relationships with measures of organizational citizenship behavior and turnover intention. This robust network of validity evidence confirms that the QQBS is measuring a unique construct that behaves predictably within the broader nomological network of occupational psychology.

Convergent & Discriminant Validation Correlations

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Reliability

The QQBS demonstrates exceptional reliability, indicating that it measures Quiet Quitting consistently across the target population. The overall instrument yielded a highly robust internal consistency, with a total Cronbach's alpha of 0.921. This value comfortably exceeds the standard psychometric threshold of 0.80 for diagnostic and research tools, suggesting excellent cohesion among the 15 items.

The individual subscales also performed admirably, with the behavioral and cognitive dimensions producing alpha values of 0.874 and 0.900, respectively. Additionally, the researchers calculated a split-half reliability coefficient of 0.803, further cementing the scale's internal stability. These metrics collectively assure researchers that the QQBS is a highly dependable instrument for assessing subtle workplace disengagement.

Factor Analysis

The structural integrity of the QQBS was evaluated using a sequential factor analytic approach. Initially, an exploratory factor analysis utilizing principal component analysis with varimax rotation was conducted on a pilot sample. This procedure successfully extracted a clear, parsimonious two-factor solution that aligned perfectly with the theoretical framework, explaining a significant portion of the variance in the item pool.

To rigorously test this structure, a confirmatory factor analysis was subsequently performed on a larger, independent formal survey sample. The resulting model fit indices provided compelling evidence for the two-dimensional structure. The Comparative Fit Index (CFI) reached 0.959, and the Incremental Fit Index (IFI) was 0.960, both well above the conventional 0.90 benchmark for excellent fit. Additionally, the Root Mean Square Error of Approximation (RMSEA) was 0.065, falling comfortably within the acceptable range. These results confirm that the 15 items accurately map onto the two distinct facets of Quiet Quitting.

Subscales

Instrument

Figures

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Quiet Quitting Behavior Scale Items

Sample

Pilot survey (n = 113) and a formal survey of primary healthcare workers in China.