Abstract
The Distributive and Procedural Justice Measure (DPJM), developed by Parker, Baltes, and Christiansen (1997), is a concise, psychometrically validated instrument designed to evaluate employee perceptions of fairness within organizational contexts. Grounded in organizational justice theory, the scale operationalizes two fundamental dimensions of workplace equity: distributive justice, which assesses the perceived fairness of outcome allocations, recognition, and reward distribution (measured via 3 items); and procedural justice, which assesses the perceived fairness of decision-making processes, specifically emphasizing employee voice, structural consistency, and objective criteria (measured via 4 items). Administered using a standard 5-point Likert response format ranging from 1 (Strongly Disagree) to 5 (Strongly Agree), the instrument evaluates macro-level organizational practices rather than localized, policy-specific events. Initial validation across diverse organizational subsamples demonstrated robust internal consistency reliability, with coefficient alpha values of .88 for the distributive justice subscale and .74 for the procedural justice subscale. Confirmatory factor analyses (CFA) have repeatedly supported the empirical distinctiveness of these two dimensions from one another and from related organizational constructs, including job satisfaction, organizational loyalty, career development opportunities, and attitudes toward affirmative action and equal employment opportunity (EEO) programs. Over the past decades, the DPJM has been extensively utilized in industrial-organizational psychology, human resource management, and organizational behavior research to investigate employee retention, psychological contract fulfillment, workplace equity, and structural discrimination across demographic cohorts.
Keywords
Distributive Justice, Procedural Justice, Organizational Justice, Employee Fairness, Workplace Equity, Parker Baltes and Christiansen, Organizational Behavior, Psychometrics, Decision-Making Voice, Reward Allocation
Authors
The Distributive and Procedural Justice Measure was conceptualized, operationalized, and validated by a team of prominent organizational psychologists examining organizational climate, affirmative action programs, and demographic subgroup dynamics:
- Christopher P. Parker, Ph.D. — At the time of scale development, Dr. Parker was affiliated with Northern Illinois University. His research program centers on organizational climate, psychological climate perceptions, organizational justice, and employee well-being within complex work environments.
- Boris B. Baltes, Ph.D. — Professor of Psychology at Wayne State University. Dr. Baltes is a widely published scholar in industrial-organizational psychology, specializing in workplace diversity, affirmative action attitudes, work-family balance, organizational justice, and cognitive processes in employee decision-making.
- Neil D. Christiansen, Ph.D. — Professor of Psychology at Central Michigan University. Dr. Christiansen focuses on personality assessment in personnel selection, measurement invariance, organizational attitudes, and the psychometric evaluation of diversity initiatives.
Correspondence regarding the foundational study was originally directed to Christopher P. Parker, Department of Psychology, Northern Illinois University, DeKalb, IL 60115.
Purpose
The primary purpose of the Distributive and Procedural Justice Measure is to quantify employee cognitive evaluations and subjective appraisals of organizational fairness across systemic operating procedures and allocation mechanisms. While early organizational research often conceptualized fairness as a monolithic construct, the DPJM was developed to disentangle how employees differentiate the fairness of what they receive from the fairness of how those determinations are made. Specifically, Parker et al. (1997) engineered this instrument to evaluate organizational climate perceptions during periods of administrative policy implementation, such as Equal Employment Opportunity (EEO) and Affirmative Action (AA) programs, where fairness perceptions frequently influence organizational commitment and intergroup attitudes.
In applied and clinical-organizational settings, the DPJM serves multiple diagnostic functions:
- Organizational Diagnostics and Climate Surveys: It enables human resource leaders and organizational development consultants to pinpoint structural deficiencies. A deficit in distributive justice typically indicates market disparities, compensation inequity, or dysfunctional merit pay systems, whereas a deficit in procedural justice points toward opaque leadership, lack of employee input, or arbitrary management interventions.
- Evaluation of Strategic Interventions: Organizations undergoing restructuring, mergers, compensation redesign, or diversity management overhauls employ the DPJM longitudinally to measure the perceived equity of policy adjustments.
- Mitigation of Occupational Stress and Counterproductive Work Behaviors: Research consistently links perceived injustice to burnout, organizational cynicism, withdrawal, and turnover intentions. The DPJM identifies systemic stressors within the sociotechnical environment before they manifest as attrition or employee grievances.
- Basic Empirical Research: The scale provides researchers with a parsimonious, psychometrically sound instrument that minimizes respondent fatigue in multi-construct survey batteries, facilitating complex structural equation modeling (SEM) of organizational antecedents and performance outcomes.
Psychological Construct
Organizational justice refers to the conceptualization and evaluation of fairness within occupational settings. The DPJM captures two core operationalizations of this construct, reflecting distinct cognitive frameworks through which employees interpret administrative actions.
1. Distributive Justice
Distributive justice reflects the perceived fairness of outcome distributions and allocations across members of an organization. Grounded originally in socio-economic exchange paradigms, this construct examines whether outcomes such as compensation, professional recognition, performance appraisals, promotions, and status are distributed in accordance with normative allocation rules, most notably the equity rule.
Within the DPJM, distributive justice is captured via three items focusing on the systematic relationship between performance contributions and subsequent recognition or tangible rewards. The scale evaluates both collective equity (e.g., whether an entire work unit receives appropriate rewards when executing high performance) and individual equity (e.g., whether an individual employee receives commensurate, sufficient recognition for exceptional effort). A perceived violation of distributive justice triggers psychological distress, feelings of under-reward inequity, and behavioral adjustments intended to restore psychological equilibrium, such as reduced performance effort or absenteeism.
2. Procedural Justice
Procedural justice pertains to the perceived fairness of the processes, rules, and mechanisms utilized to arrive at administrative allocations and strategic determinations. Procedural fairness does not focus on whether an individual obtained their desired outcome, but rather on whether the decision architecture conformed to structural standards of impartiality, transparency, and voice.
The DPJM operationalizes procedural justice across four items that reflect two critical theoretical dimensions:
- Process Control and Voice: The capacity of organizational members who are directly impacted by decisions to offer substantive input, participate in deliberative processes, and voice operational concerns (e.g., employees involved in execution having a direct say).
- Structural Consistency and Informational Objectivity: The degree to which organizational determinations are systematically anchored in empirical data, technical expertise, and objective metrics rather than organizational politics, cronyism, or subjective favoritism (e.g., decisions guided by research and qualified experts rather than political considerations).
High procedural justice fosters organizational legitimacy, bolsters trust in leadership, and encourages organizational citizenship behaviors (OCBs), even when distributed outcomes are unfavorable or austere.
Theoretical Framework
The theoretical architecture supporting the Distributive and Procedural Justice Measure integrates classical socio-psychological, cognitive, and organizational theories developed across four decades of scholarship.
1. Adams’ Equity Theory
The distributive justice subscale is anchored directly in Equity Theory (Adams, 1965), which posits that individuals cognitively calculate a ratio between their internal contributions (inputs: effort, education, skill, time) and their received organizational returns (outcomes: pay, promotion, verbal praise, formal recognition). Employees subsequently compare this internal ratio against reference points, such as internal coworkers or industry benchmarks. When these comparative ratios diverge, individuals perceive injustice. Parker et al. (1997) operationalize this theoretical dynamic by asking respondents whether high performance reliably results in sufficient, appropriate organizational compensation.
2. Thibaut and Walker’s Dispute Resolution and Process Control Model
The genesis of procedural justice traces to the legal and sociological experiments of Thibaut and Walker (1975). Their research demonstrated that disputants distinguish sharply between decision control (actual control over the verdict) and process control (the opportunity to articulate arguments, present evidence, and participate in hearings). When individuals possess process control (“voice”), they rate procedures as substantially fairer and accept unfavorable outcomes with greater compliance. The DPJM incorporates this process control model directly within items assessing whether affected employees possess a meaningful voice during operational decision-making.
3. Leventhal’s Structural Procedural Rules
Broadening procedural fairness from legal dispute resolution to administrative organizations, Leventhal (1980) introduced six structural criteria that must be satisfied for a procedure to be perceived as fair:
- Consistency Rule: Allocation procedures must be consistent across persons and across time.
- Bias-Suppression Rule: Personal self-interest and unvetted preconceptions must be restrained.
- Accuracy Rule: Decisions must be based on comprehensive, high-quality, verifiable information.
- Correctability Rule: Mechanisms must exist to appeal and reverse flawed decisions.
- Representativeness Rule: The concerns of all affected subgroups must be incorporated.
- Ethicality Rule: The process must comply with prevailing moral and ethical standards.
The DPJM directly operationalizes Leventhal’s accuracy and bias-suppression dimensions through items evaluating whether decisions stem from research, empirical data, and technical criteria rather than organizational politics.
4. The Group Value and Relational Models
Developed by Lind and Tyler (1988), the Group Value Model asserts that procedural justice conveys profound symbolic information regarding an individual’s standing within a social system. Being accorded voice and treated with neutral, data-driven respect informs the employee that they are a valued, respected insider. Consequently, procedural justice within the DPJM functions not merely as an instrument for securing future economic rewards, but as an essential relational validator of psychological safety and social identity.
Validity
The psychometric validity of the DPJM was established through rigorous construct, convergent, discriminant, and criterion-related analyses reported in the initial validation studies by Parker et al. (1997) and corroborated in subsequent empirical research.
1. Construct and Structural Validity
Construct validity was demonstrated by evaluating whether the items accurately reflect two distinct justice factors rather than a single generalized climate dimension. Confirmatory factor analysis (CFA) conducted across four demographic subsamples (White men, White women, minority men, and minority women) demonstrated that a two-factor justice model provided superior fit over competing unidimensional models. Path coefficients and factor loadings were substantial across all groups, confirming measurement equivalence across sex and racial-ethnic boundaries.
2. Convergent and Criterion-Related Validity
The subscales exhibit robust convergent correlations with related workplace variables in patterns predicted by organizational theory:
- Job Satisfaction: Both distributive and procedural justice correlated positively and significantly with global work satisfaction across all demographic subgroups examined (correlations ranging from .35 to .52).
- Organizational Loyalty: Fairness perceptions were strongly associated with employee commitment and willingness to defend the enterprise, demonstrating that perceived justice directly underpins affective organizational loyalty.
- Career Development Opportunities: Significant positive correlations were documented between justice dimensions and perceived accessibility of organizational career mobility, indicating that perceived fairness reinforces long-term developmental outlooks.
3. Discriminant Validity
Parker et al. (1997) conducted comprehensive discriminant validity testing using CFA to evaluate whether distributive and procedural justice were empirically distinct from adjacent constructs, including:
- Attitudes toward and support for organizational Affirmative Action (AA) programs.
- Support for Equal Employment Opportunity (EEO) initiatives.
- Job satisfaction and organizational loyalty.
The multi-trait, multi-construct models revealed that constraining the correlation between distributive and procedural justice to unity (1.0) resulted in a statistically significant degradation of model fit ($\Delta\chi^2, p < .001$), confirming their distinct conceptual identities. Furthermore, neither justice subscale demonstrated excessive collinearity with affirmative action support variables, confirming that generalized beliefs regarding equity programs do not confound an employee’s evaluation of operational fairness in their daily workplace.
Reliability
The internal consistency reliability of the DPJM has been validated across multiple empirical samples, meeting the rigorous standards recommended for psychometric assessment in organizational research:
- Distributive Justice Subscale: In the original validation by Parker et al. (1997), the 3-item distributive justice subscale demonstrated a Cronbach’s coefficient alpha ($lpha$) of .88. This high internal consistency reflects the strong semantic coherence of items assessing the performance-reward linkage at both individual and work-unit levels.
- Procedural Justice Subscale: The 4-item procedural justice subscale exhibited a Cronbach’s coefficient alpha ($lpha$) of .74 in the primary study. Given that this subscale incorporates both voice mechanisms and structural decision criteria (e.g., technical criteria vs. organizational politics), an alpha of .74 represents acceptable to good reliability for a four-item multidimensional operationalization.
Across independent organizational investigations utilizing these items, Cronbach’s alpha values typically range between .84 and .91 for Distributive Justice, and between .73 and .82 for Procedural Justice. The scale displays standard errors of measurement (SEM) sufficiently narrow to permit confident group-level comparisons, longitudinal tracking, and structural equation modeling without substantial attenuation of estimated path coefficients.
Factor Analysis
The structural composition of the DPJM was systematically assessed through confirmatory factor analysis (CFA) using covariance structural modeling (Parker et al., 1997). The primary analytic objective was to verify whether employee cognitive appraisals distinguish between allocation outcomes (distributive) and systemic allocation mechanisms (procedural).
1. Model Comparison and Fit Indices
Parker et al. evaluated multiple alternative structural configurations across four independent subsamples ($N = 1,400+$):
- Single-Factor Model: All seven justice items loading onto a single omnibus “Organizational Fairness” latent factor. This model yielded poor fit indices (e.g., Root Mean Square Error of Approximation [RMSEA] > .10, Comparative Fit Index [CFI] < .85).
- Two-Factor Justice Model: Three items loading on Distributive Justice and four items loading on Procedural Justice. This baseline two-factor structure demonstrated excellent fit to the empirical data across all demographic cohorts (CFI > .95, Tucker-Lewis Index [TLI] > .94, RMSEA < .06).
- Full Measurement Model: Distributive justice, procedural justice, career opportunities, job satisfaction, organizational loyalty, and affirmative action support modeled as distinct latent factors. The multi-factor measurement model provided exceptional overall fit, demonstrating that the justice dimensions remain factorially invariant in the presence of broader affective and attitudinal constructs.
2. Factor Loadings
Standardized factor loadings reported for the two-factor solution are consistently high and statistically significant ($p < .001$):
- Distributive Justice items: Standardized loadings typically exceed .75, with particularly high loadings observed for items linking individual performance to commensurate rewards.
- Procedural Justice items: Standardized loadings range from .58 to .78, with items capturing work unit involvement and technical versus political decision-making serving as robust indicators of the procedural latent construct.
The correlation between the two latent justice factors is moderate and positive (generally $r pprox .40$ to $.55$), indicating that while these dimensions are related components of an overarching justice climate, they account for substantial unique variance.
Instrument / Measurement Tool
The Distributive and Procedural Justice Measure is presented as a self-report paper-and-pencil or digital questionnaire. Below is the technical specification of the instrument:
- Instrument Name: Distributive and Procedural Justice Measure (DPJM)
- Authors: Christopher P. Parker, Boris B. Baltes, and Neil D. Christiansen (1997)
- Constructs Measured: Distributive Justice (Outcome Fairness) and Procedural Justice (Voice and Process Objectivity)
- Total Item Count: 7 items
- Procedural Justice: 4 items (Items 1–4)
- Distributive Justice: 3 items (Items 5–7)
- Target Population: Adult working populations across private, public, non-profit, and academic sectors. Applicable across diverse occupational classifications and organizational levels.
- Response Format: 5-point Likert-type scale scored as follows:
- 1 = Strongly Disagree
- 2 = Disagree
- 3 = Neither Agree nor Disagree (Neutral)
- 4 = Agree
- 5 = Strongly Agree
- Administration Time: Approximately 2 to 4 minutes.
- Scoring Protocol:
- Procedural Justice Score: Calculate the arithmetic mean of items 1, 2, 3, and 4. Higher scores reflect greater perceived procedural voice, involvement, and technical objectivity.
- Distributive Justice Score: Calculate the arithmetic mean of items 5, 6, and 7. Higher scores reflect greater perceived equity in reward and recognition distribution.
- Reverse Scored Items: None. All items are positively keyed toward fair perceptions.
- Global Justice Score (Optional): While subscales should generally be interpreted independently due to theoretical distinctions, some researchers compute an overall composite justice mean across all 7 items.
Permissions & Fee and Test Year
The Distributive and Procedural Justice Measure was published in 1997 in the Journal of Applied Psychology, a journal published by the American Psychological Association (APA). The full source citation is: Parker, C. P., Baltes, B. B., & Christiansen, N. D. (1997). Support for affirmative action, justice perceptions, and work attitudes: A study of gender and racial-ethnic group differences. Journal of Applied Psychology, 82(3), 376–389.
Licensing and Use:
- The scale items and psychometric properties are copyrighted by the American Psychological Association.
- Under standard fair-use principles within academic psychology, the scale items may be utilized without financial fee for non-commercial scholarly research, instructional demonstrations, and academic dissertations, provided that proper bibliographic citation is given to Parker et al. (1997).
- Commercial applications, organizational consulting deployments, inclusion within commercial diagnostic platforms, or systematic corporate republication require formal permission and potential licensing fees through the APA Rights & Permissions office via the Copyright Clearance Center (CCC).
References
Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 2, pp. 267–299). Academic Press. https://doi.org/10.1016/S0065-2601(08)60108-2
Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386–400. https://doi.org/10.1037/0021-9010.86.3.386
Leventhal, G. S. (1980). What should be done with equity theory? New approaches to the study of fairness in social relationships. In K. J. Gergen, M. S. Greenberg, & R. H. Willis (Eds.), Social Exchange: Advances in Theory and Research (pp. 27–55). Plenum Press. https://doi.org/10.1007/978-1-4684-3707-2_2
Lind, E. A. (2001). Fairness heuristic theory: Justice judgments as pivotal cognitions in organizational relations. In J. Greenberg & R. Cropanzano (Eds.), Advances in Organizational Justice (pp. 56–88). Stanford University Press.
Lind, E. A., & Tyler, T. R. (1988). The Social Psychology of Procedural Justice. Plenum Press. https://doi.org/10.1007/978-1-4899-2115-4
Parker, C. P., Baltes, B. B., & Christiansen, N. D. (1997). Support for affirmative action, justice perceptions, and work attitudes: A study of gender and racial-ethnic group differences. Journal of Applied Psychology, 82(3), 376–389. https://doi.org/10.1037/0021-9010.82.3.376
Thibaut, J., & Walker, L. (1975). Procedural Justice: A Psychological Analysis. L. Erlbaum Associates.