Work Control scale

Abstract

The Work Control Scale, developed by organizational psychologists Deborah J. Dwyer and Daniel C. Ganster in 1991, is a psychometric instrument designed to assess the multidimensional nature of perceived control in the workplace. Rooted in occupational health psychology and organizational behavior, the instrument addresses critical limitations in earlier, overly global operationalizations of workplace autonomy by providing a granular, 22-item assessment across diverse operational facets. These facets capture worker discretion over task variety, procedural methodology, work pacing, temporal scheduling, physical environmental conditions, social interactions, policy influence, predictability, and resource allocation. Administered via a 5-point Likert-type response scale ranging from 1 (very little) to 5 (very much), the scale yields a comprehensive index of perceived job control. In its seminal validation sample of 165 manufacturing employees, the instrument demonstrated high internal consistency reliability, yielding a Cronbach’s alpha coefficient of .87. Structurally, the scale functions both as a robust unidimensional composite and as a hierarchically organized profile of discrete control domains. Construct and criterion-related validity have been empirically substantiated through its interactions with occupational stressors; specifically, Dwyer and Ganster demonstrated that perceived control significantly moderates the adverse impact of heavy workloads on job satisfaction and correlates systematically with employee attendance patterns and objective sick leave utilization. By differentiating objective job parameters from subjective cognitive appraisals of agency, the Work Control Scale remains a foundational assessment tool for organizational diagnostics, occupational stress testing, and job redesign interventions.

Keywords

Work Control Scale, job control, decision latitude, occupational stress, Job Demands-Control model, job autonomy, employee well-being, psychometrics, work satisfaction, absenteeism, job redesign, organizational behavior

Authors

The Work Control Scale was formulated and empirically validated by Deborah J. Dwyer and Daniel C. Ganster:

• Deborah J. Dwyer, Ph.D.: Professor Emerita of Management and Organizational Behavior. At the time of the scale’s development, Dr. Dwyer conducted empirical research at the University of Nebraska–Lincoln and subsequently held faculty and administrative appointments at the University of Memphis, the University of Toledo, and other academic institutions. Her scholarship centers on employee stress, workplace control, absenteeism, and leadership dynamics within industrial settings.
• Daniel C. Ganster, Ph.D.: Prominent scholar in organizational behavior and occupational health psychology. Dr. Ganster has held distinguished professorships and chair positions at institutions including the University of Arkansas, Colorado State University, and Central Michigan University. He served as an Associate Editor and editorial board member for premier journals such as the Journal of Applied Psychology and the Journal of Organizational Behavior, focusing extensively on the physiological, psychological, and behavioral consequences of work-related stress and control mechanisms.

Purpose

The primary purpose of the Work Control Scale is to quantify an individual’s subjective appraisal of discretion, authority, and latitude across specific operational parameters within their work environment. When Dwyer and Ganster developed the instrument in 1991, prevailing organizational research relied heavily on the broad construct of “decision latitude” popularized by Robert Karasek’s seminal Job Demands-Control (JDC) model. However, early operationalizations frequently confounded task autonomy with skill discretion or treated control as an abstract, monolithic entity. Dwyer and Ganster identified this conceptual conflation as a major impediment to understanding the exact mechanisms through which autonomy mitigates workplace strain. Consequently, they designed this 22-item scale to capture a wide array of actionable, concrete operational targets over which workers may or may not exercise control.

In research contexts, the scale serves as a standardized measurement tool to investigate the buffering hypothesis—the proposition that high job control attenuates the detrimental physical and psychological consequences of high job demands. The instrument enables researchers to determine whether specific sub-domains of control (such as pacing vs. scheduling) exert differentiated buffering effects against specific strains (such as burnout, anxiety, cardiovascular reactivity, or somatic health complaints). Furthermore, it provides an empirical bridge between subjective psychological experience and objective organizational metrics, including certified sick days, voluntary absenteeism, task performance, and employee turnover intentions.

In clinical, ergonomic, and organizational consulting applications, the scale functions as a diagnostic instrument. Occupational health specialists, human resource professionals, and industrial engineers utilize the tool to audit job design and identify localized control deficits. Rather than merely concluding that a job is “stressful,” practitioners can systematically identify whether the stress stems from rigid physical workstation constraints, lack of pacing autonomy, unpredictable workloads, or rigid attendance rules. This specificity informs tailored job redesign interventions, ergonomics programs, flexible scheduling policies, and participatory management initiatives aimed at improving worker engagement, health, and operational performance.

Psychological Construct

The psychological construct assessed by the instrument is perceived work control, defined as the degree to which an employee believes they possess the personal authority, discretion, choice, and predictability to modify, regulate, and direct their work activities and immediate work environment. Perceived work control is fundamentally cognitive and phenomenological; it represents an employee’s subjective appraisal of their agency rather than an objective analysis of formal job descriptions. Dwyer and Ganster (1991) conceptualized work control not as an undifferentiated general feeling, but as a granular, multifaceted construct spanning several distinct behavioral domains:

• Methodological Control: Discretion over the specific procedures, techniques, and approaches utilized to execute work assignments (e.g., Item 1: control over the variety of methods; Item 13: control over how work is done).
• Task Variety and Selection Control: The degree to which an individual can self-select projects or determine the diversity of tasks assigned to them (e.g., Item 2: choosing among a variety of tasks or projects).
• Pacing and Speed Control: The capacity to regulate the cadence, velocity, and temporal acceleration of work activities according to personal physiological and psychological rhythms, rather than being paced by machinery, client volume, or external surveillance (e.g., Item 6: control over how quickly or slowly one works).
• Temporal and Schedule Discretion: Autonomy regarding temporal boundaries, including the timing of breaks, daily arrival and departure times, and the selection of leave and vacation periods (e.g., Items 7, 8, and 9).
• Environmental and Physical Space Control: The capacity to manipulate the ergonomic, aesthetic, and physical parameters of one’s immediate workspace, including lighting, temperature, and personalization (e.g., Items 11 and 12).
• Predictability and Cognitive Expectancy: The extent to which future workplace demands, event consequences, and operational conditions can be anticipated, thereby reducing ambiguity and facilitating proactive coping (e.g., Items 4, 10, and 17).
• Interpersonal and Boundary Regulation: The power to govern communicative contact, shield oneself from unwanted social interruptions, and regulate the flow of social interactions (e.g., Items 14 and 19).
• Resource, Policy, and Evaluative Influence: Latitude in acquiring necessary equipment, influencing departmental policies, shaping organizational procedures, and exerting control over performance appraisal standards and financial compensation (e.g., Items 15, 16, 18, 20, and 21).
• Global Agency: A synthesizing, overarching appraisal of overall control over work and organizational matters (e.g., Item 22).

Crucially, this operationalization treats control as a proactive, interactive capability. It encompasses both primary control (actively modifying objective organizational environments to align with personal needs) and secondary control (optimizing internal states via predictability and anticipatory coping).

Theoretical Framework

The Work Control Scale is anchored within multiple foundational theories of organizational psychology, stress physiology, and human agency:

1. The Job Demands-Control (JDC) Model

Originally formulated by Robert Karasek (1979), the JDC model posits that occupational strain is not simply a linear consequence of high psychological demands (e.g., heavy workload, fast pace, mental pressure). Instead, strain arises from the joint effect of demanding workloads and low worker control (decision latitude). When high demands coincide with low control, an individual experiences “high strain,” leading to chronic sympathetic nervous system activation, psychological distress, and long-term somatic pathology. Conversely, when high demands are coupled with high control (“active jobs”), workers experience learning, motivation, and mastery. Dwyer and Ganster (1991) developed their instrument to rigorously test the JDC interaction hypothesis by providing an unconfounded, psychometrically pure measure of control that avoided the methodological critiques levied against Karasek’s original Job Content Questionnaire (JCQ).

2. The Transactional Model of Stress and Coping

According to the cognitive appraisal model established by Richard Lazarus and Susan Folkman (1984), psychological stress is experienced when environmental demands are appraised as taxing or exceeding personal resources. In this paradigm, perceived work control serves as a crucial factor during secondary appraisal—the evaluation of available coping options and resources. When an employee evaluates workplace challenges while possessing high perceived control, they are more likely to perceive demands as manageable challenges rather than debilitating threats, deploying problem-focused coping mechanisms that effectively mitigate distress.

3. Self-Determination and Action Theories

The scale also aligns with Self-Determination Theory (Deci & Ryan, 1985), which posits that autonomy is an innate, essential psychological nutrient required for intrinsic motivation and psychological flourishing. Similarly, German Action Theory (Frese & Zapf, 1994) conceptualizes work tasks as goal-directed action sequences involving goal setting, information collection, planning, execution, and feedback monitoring. Dwyer and Ganster’s items reflect each phase of this action cycle: control over information sources (Item 16), method selection (Item 1), pacing and execution (Item 6), and evaluation criteria (Item 21). When organizational structures strip workers of discretion over these phases, cognitive fatigue and learned helplessness can ensue.

Validity

Empirical validation of the Work Control Scale has been established through multiple research designs across industrial, healthcare, administrative, and knowledge-worker environments:

Construct and Convergent Validity

Dwyer and Ganster (1991) demonstrated that the Work Control Scale correlates positively and significantly with established measures of job autonomy, such as the autonomy subscale of the Job Diagnostic Survey (Hackman & Oldham, 1975), while demonstrating divergent validity by failing to correlate with unrelated demographic and organizational variables. The scale correlates negatively with standard indices of workplace alienation, emotional exhaustion, and somatic anxiety.

Criterion-Related and Moderating Validity

In their seminal 1991 investigation involving full-time manufacturing employees, Dwyer and Ganster tested whether work control moderated the relationship between objective/subjective job demands and employee outcomes. Multivariate hierarchical regression analyses revealed a statistically significant interaction between workload and work control on work satisfaction. Specifically, under conditions of high perceived control, heavy workloads did not diminish employee satisfaction; rather, satisfaction remained high. Under low-control conditions, however, increasing workload produced steep declines in work satisfaction. This finding provided critical empirical confirmation for Karasek’s buffering hypothesis using a fine-grained control measure.

Predictive Validity: The Sickness Absence Paradox

A notable finding documented by Dwyer and Ganster was that perceived control correlated positively with objective sick days taken. While initially counterintuitive, the authors and subsequent occupational health researchers interpreted this finding through the lens of legitimate health management: workers who possess substantial control and discretion over their schedules, attendance, and job tasks feel psychologically empowered to stay home and recuperate when genuinely ill, rather than engaging in unhealthy presenteeism. In contrast, workers with minimal control often attend work while sick due to rigid organizational surveillance or punitive attendance policies, ultimately resulting in poorer long-term health and sudden, unexcused voluntary absenteeism. Thus, the scale showed distinct predictive associations when differentiating voluntary unexcused absences from medically certified sick leaves.

Reliability

The psychometric reliability of the Work Control Scale has been substantiated through internal consistency estimates and temporal stability evaluations across diverse industrial and organizational sectors:

Internal Consistency

In Dwyer and Ganster’s (1991) foundational study, the 22-item composite scale yielded a high Cronbach’s alpha coefficient of .87, indicating robust homogeneity among items while retaining broad domain coverage. Subsequent studies utilizing the full 22-item scale in manufacturing, clerical, and public-sector cohorts have consistently yielded Cronbach’s alpha coefficients ranging between .85 and .91 (e.g., Fox, Spector, & Miles, 2001; Carayon, 1993). Inter-item correlations generally range from .25 to .65, satisfying the conventional psychometric threshold indicating adequate shared variance without excessive item redundancy.

Temporal Stability

Test-retest reliability evaluations over intervals ranging from 4 weeks to 6 months have demonstrated moderate-to-high stability coefficients, typically falling between r = .70 and .82 in stable organizational settings. Fluctuations in test-retest scores systematically correspond to formal organizational interventions, shifts in supervisory styles, or ergonomic workspace redesigns, indicating that the instrument remains sensitive to genuine environmental changes rather than reflecting fixed, unchangeable personality traits.

Factor Analysis

The structural dimensionality of the Work Control Scale has been extensively evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA):

Exploratory Factor Analyses

Dwyer and Ganster (1991) originally intended the scale to measure a unified construct of perceived work control across diverse operational contexts. Initial principal components and common factor analyses with varimax rotation revealed a dominant general factor accounting for a substantial proportion of the common variance, justifying the aggregation of the 22 items into a single overarching composite score. Nonetheless, multi-factor extraction typically resolves into identifiable sub-factors representing specific control spheres:

• Factor 1: Task and Method Control (Items 1, 2, 3, 5, 13) — items loading heavily (> .60) reflect personal discretion over procedural methods, task selection, quality standards, and output volume.
• Factor 2: Temporal and Pacing Control (Items 6, 7, 8, 9) — items loading heavily (> .55) capture autonomy over working speed, break schedules, arrival/departure times, and vacation timing.
• Factor 3: Physical Environment and Resource Control (Items 11, 12, 18) — high loadings (> .50) related to physical workstation conditions, workspace personalization, and material equipment.
• Factor 4: Predictability and Environmental Stability (Items 4, 10, 17, 19) — items indexing the ability to forecast workloads, predict decision outcomes, and control workplace interruptions.
• Factor 5: Organizational and Policy Influence (Items 14, 15, 16, 20, 21) — items indexing broader influence over unit policies, information access, social interaction boundaries, and performance evaluation.

Confirmatory Factor Analyses and Structural Models

Confirmatory factor analytic investigations have evaluated whether the scale is best represented as a strict first-order unidimensional model, a correlated multi-factor model, or a second-order hierarchical model. Studies comparing these structures consistently find that a hierarchical (second-order) model—in which an overarching latent “Work Control” construct accounts for the shared variance among the first-order sub-dimensions—provides an optimal balance of parsimony and empirical fit. Typical CFA goodness-of-fit indices reported in literature include a Comparative Fit Index (CFI) exceeding .90, a Root Mean Square Error of Approximation (RMSEA) below .06, and standardized item factor loadings clustering between .45 and .78 across items.

Instrument / Measurement Tool

The Work Control Scale is an operational self-report questionnaire designed for adult workers across varied industrial, corporate, and healthcare domains:

• Instrument Title: Work Control Scale
• Authors: Deborah J. Dwyer and Daniel C. Ganster (1991)
• Item Count: 22 items
• Administration Format: Paper-and-pencil questionnaire, computerized survey, or secure online assessment portal
• Estimated Completion Time: 5 to 8 minutes
• Target Population: Employed adult populations in full-time or part-time employment
• Response Scale: 5-point Likert-type scale formatted as:
  • 1 = very little
  • 2 = little
  • 3 = a moderate amount
  • 4 = much
  • 5 = very much
• Scoring and Computational Procedures:
  • All 22 items are positively worded in the direction of high control; no reverse-scored items are present.
  • Total Score: Sum the numerical responses across all 22 items (range: 22 to 110). Higher total scores reflect greater perceived overall work control.
  • Mean Index Score: Calculate the arithmetic mean of all 22 items (range: 1.00 to 5.00). A mean score above 3.50 typically denotes a high-control occupational environment, whereas scores below 2.50 indicate significant structural disempowerment.
  • Subscale Profiling: Researchers may also compute facet means corresponding to the theoretical domains (e.g., Task Control, Pacing Control, Environmental Control) to construct granular organizational diagnostics.

Permissions & Fee and Test Year

The Work Control Scale was formally introduced to the scientific literature in 1991 in the Journal of Organizational Behavior (Vol. 12, Iss. 7, pp. 595–608). The complete 22-item inventory was published in the article’s appendix (p. 608) by authors Deborah J. Dwyer and Daniel C. Ganster.

For non-commercial, academic, scientific research, and educational instructional purposes, the scale items are widely considered accessible under fair-use conventions, provided that formal academic citation is given to Dwyer and Ganster (1991) and the Journal of Organizational Behavior (published by John Wiley & Sons). Practitioners, commercial enterprises, and management consulting firms intending to incorporate the instrument into proprietary assessment platforms, commercial organizational audits, or revenue-generating software tools should consult Wiley’s RightsLink / copyright clearance service to secure appropriate organizational licensing permissions.

References

• Carayon, P. (1993). A longitudinal study of job design and worker strain: Examining the hazard rate of a job change. Human Relations, 46(5), 655–676. https://doi.org/10.1177/001872679304600505
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum Press. https://doi.org/10.1007/978-1-4899-2271-7
• Dwyer, D. J., & Ganster, D. C. (1991). The effects of job demands and control on employee attendance and satisfaction. Journal of Organizational Behavior, 12(7), 595–608. https://doi.org/10.1002/job.4030120704
• Fox, S., Spector, P. E., & Miles, D. (2001). Counterproductive work behavior (CWB) in response to stressors and organizational justice: Some mediator and moderator tests for autonomy and emotions. Journal of Vocational Behavior, 59(3), 291–309. https://doi.org/10.1006/jvbe.2001.1803
• Frese, M., & Zapf, D. (1994). Action as the core of work psychology: A German approach. In H. C. Triandis, M. D. Dunnette, & L. M. Hough (Eds.), Handbook of industrial and organizational psychology (Vol. 4, pp. 271–340). Consulting Psychologists Press.
• Hackman, J. R., & Oldham, G. R. (1975). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60(2), 159–170. https://doi.org/10.1037/h0076546
• Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285–308. https://doi.org/10.2307/2392498
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.

13. Items of the Scale (Questionnaire)