Environmental Efficacy Measure

1. Abstract

The Environmental Efficacy Measure (EEM) is an extensive psychometric instrument developed by Meijers et al. (2023) to operationalize and evaluate multidimensional efficacy beliefs underlying pro-environmental engagement. Grounded in the Personal-Collective-Governmental (PCG) efficacy typology, the instrument disentangles self-efficacy (an agent’s perceived capability to execute behavior) from response efficacy (the belief that executed behavior will successfully achieve an intended environmental outcome) across three systemic tiers of agency: individual, collective, and governmental. The scale comprises 50 items partitioned across seven distinct dimensions: Personal Self-Efficacy, Personal Response Efficacy, Collective Ingroup Self-Efficacy, Collective Ingroup Response Efficacy, Collective Universal Self-Efficacy, Collective Universal Response Efficacy, and Governmental Response Efficacy. All items are calibrated on a 7-point Likert scale ranging from 1 (Strongly disagree) to 7 (Strongly agree).

Psychometric validation was conducted using a nationally representative sample of Dutch adults recruited via Survey Sampling International. Confirmatory factor analysis (CFA) affirmed the robust structural integrity of the seven-factor configuration, exhibiting acceptable global fit indices: χ²(1134) = 2311.88, p < .001, Comparative Fit Index (CFI) = 0.93, Root Mean Square Error of Approximation (RMSEA) = 0.04 (90% CI [0.04, 0.05]), and PCLOSE = 1.000. All seven subscales demonstrated high internal consistency, with Cronbach’s alpha coefficients ranging between .86 and .93. Discriminant validity was empirically substantiated through nested model comparisons; collapsing the most strongly intercorrelated factors—personal and collective response efficacy—yielded a statistically significant deterioration in fit (Δχ²(6) = 483.73, p < .001). The EEM provides an exhaustive methodological framework for psychometricians, environmental psychologists, and behavioral policy analysts seeking to model the differential motivational mechanisms driving personal sustainable lifestyle choices, community-level collective activism, and citizen political advocacy.

2. Keywords

Personal-Collective-Governmental Efficacy Typology, Environmental Efficacy Measure, Self-Efficacy, Response Efficacy, Pro-Environmental Behavior, Climate Change Mitigation, Collective Efficacy, Governmental Efficacy, Psychometrics, Confirmatory Factor Analysis

3. Authors

The Environmental Efficacy Measure was designed and validated by an interdisciplinary team of behavioral scientists, psychologists, and communication scholars:

• Marijn H. C. Meijers, Ph.D. — Amsterdam School of Communication Research (ASCoR), Department of Communication Science, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands. (ORCID: 0003-3783-7499; Correspondence: [email protected]).
• Anke Wonneberger, Ph.D. — Amsterdam School of Communication Research (ASCoR), Department of Communication Science, University of Amsterdam, Amsterdam, The Netherlands. (ORCID: 0002-2209-9983).
• Rachid Azrout, Ph.D. — Amsterdam School of Communication Research (ASCoR), Department of Communication Science, University of Amsterdam, Amsterdam, The Netherlands. (ORCID: 0001-6774-3472).
• Ragnheiður “Heather” Torfadóttir, M.Sc. — Amsterdam School of Communication Research (ASCoR), Department of Communication Science, University of Amsterdam, Amsterdam, The Netherlands. (ORCID: 0001-5904-2406).
• Cameron Brick, Ph.D. — Department of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands. (ORCID: 0002-7174-8193).

4. Purpose

Human-induced environmental degradation, global climate disruption, and biodiversity loss represent profound collective-action dilemmas characterized by scale asymmetry. While the planetary consequences of climate change are massive and systemic, individual lifestyle adaptations (e.g., recycling domestic plastics, conserving household electricity) frequently seem infinitesimally small, producing a subjective sense of behavioral futility. Historically, environmental psychology tools have relied upon unidimensional or broad self-efficacy measures, obscuring the precise sociocognitive mechanisms through which individuals evaluate both their own capabilities and the ultimate effectiveness of ecological interventions across differing levels of social organization.

The primary purpose of the Environmental Efficacy Measure (EEM) is to provide an empirical diagnostic instrument capable of assessing efficacy beliefs along two distinct structural axes: the agent of action (the individual self, the immediate social ingroup, broader humanity, or governmental institutions) and the locus of efficacy (capability versus outcome effectiveness). By mapping these dimensions simultaneously, the instrument resolves a long-standing theoretical ambiguity in environmental communication and social psychology: understanding why an individual may possess exceptionally high personal capacity to conserve energy, yet refuse to engage in climate mitigation due to low perceived collective response efficacy or an externalized skepticism regarding governmental legislative competency.

In research contexts, the EEM functions as a comprehensive battery for modeling pro-environmental behavior across diverse action categories, such as private-sphere lifestyle choices, community-based environmental organizing, consumer boycotts, and civic political participation (voting, lobbying, and protesting). In applied and policy settings, the scale serves as a targeted diagnostic tool for governmental agencies, non-governmental organizations (NGOs), and behavioral interventionists. By isolating deficits in specific efficacy dimensions, intervention architects can design strategic risk communications that target the exact psychological bottleneck inhibiting sustainable behavior, such as bolstering collective ingroup response efficacy rather than redundantly emphasizing basic self-efficacy.

5. Psychological Construct

The construct assessed by the Environmental Efficacy Measure is Environmental Efficacy, operationalized within the Personal-Collective-Governmental (PCG) typology. Efficacy is defined as a multidimensional cognitive evaluation of agency, capability, and systemic responsiveness to ecological mitigation efforts. The instrument differentiates seven primary sub-constructs:

• Personal Self-Efficacy: Evaluates an individual’s subjective assessment of their personal agency, internal resources, knowledge, and capability to successfully enact sustainable and pro-environmental behaviors in daily life (e.g., executing household waste reduction, minimizing carbon footprint, adjusting dietary selections, and utilizing public transit).
• Personal Response Efficacy: Captures the individual’s conviction that their personal actions, when enacted, meaningfully contribute to resolving ecological problems, mitigating environmental pollution, preserving planetary natural resources, and slowing the progression of climate change.
• Collective Ingroup Self-Efficacy: Measures perceived capabilities of proximate social groups, peers, or neighborhood communities (“people like me”) to collaborate, organize local initiatives, manage shared resources, and collectively coordinate environmental interventions.
• Collective Ingroup Response Efficacy: Assesses the belief that coordinated collective efforts by proximate community networks and peer groups have a measurable, tangible, and substantial impact on slowing ecological decline and lowering localized emissions.
• Collective Universal Self-Efficacy: Measures cognitive appraisals of humanity at large (“global civil society,” “humankind”) possessing the overarching technological, systemic, and social capability to cooperate and successfully reverse global ecological crises.
• Collective Universal Response Efficacy: Gauges the belief that coordinated, planetary-scale interventions, global treaties, and broad civil-society collaborations will exert a decisive, positive effect on halting global warming and safeguarding biosphere stability.
• Governmental Response Efficacy: Evaluates the perceived utility, institutional capacity, and systemic effectiveness of state intervention, statutory regulations, environmental taxation, renewable energy subsidies, and legal mandates in driving macro-level climate mitigation and reducing industrial pollution.

6. Theoretical Framework

The conceptual framework underlying the Environmental Efficacy Measure integrates three major theoretical architectures from psychological and communication science: Albert Bandura’s Social Cognitive Theory, Kim Witte’s Extended Parallel Process Model (EPPM), and contemporary models of collective political efficacy.

Social Cognitive Theory and Collective Agency

According to Albert Bandura (1997, 2000), human agency is exercised through personal, proxy, and collective pathways. Personal self-efficacy governs behavioral persistence, emotional resilience, and goal commitment. However, when systemic threats exceed private resources, individuals rely on collective efficacy—a group’s shared conviction in its joint capabilities to organize and execute courses of action. In large-scale environmental problems, Bandura underscored that individuals often experience paralysis unless personal agency is nested within functional collective structures.

The Extended Parallel Process Model and Response Efficacy

In fear-appeal and risk-communication research, Kim Witte’s (1992) Extended Parallel Process Model (EPPM) establishes that threat appraisal alone is insufficient to catalyze protective motivation. Adaptive danger control requires strong efficacy appraisals, specifically partitioned into self-efficacy (perceived ability to perform the recommended behavior) and response efficacy (the perceived effectiveness of the recommended behavior in averting the threat). When response efficacy is low, individuals default to maladaptive fear control (denial, defensive avoidance, or ecological fatalism). Meijers et al. (2023) expanded EPPM by demonstrating that in planetary-scale dilemmas, response efficacy must be evaluated beyond the individual level, incorporating group and institutional action.

The Personal-Collective-Governmental (PCG) Typology

Drawing on seminal contributions by Koletsou and Mancy (2011) and Hart and Feldman (2016), the PCG typology unifies agency levels into a cohesive matrix. Environmental threats require behavioral responses from individuals (lifestyle shifts), social groups (community norms and localized activism), and state actors (statutory frameworks, environmental law, and macro-infrastructure). By bridging political science concepts of internal and external governmental efficacy with environmental psychology, the theoretical framework demonstrates that individuals hold distinct cognitive models for what they can do, what society can do, and what policy mandates can accomplish.

7. Validity

The psychometric validity of the Environmental Efficacy Measure has been rigorously evaluated through construct, convergent, discriminant, and predictive validity analyses.

Convergent Validity

Convergent validity was established via confirmatory factor analytic modeling on the complete item battery. In the initial scale evaluation by Meijers et al. (2023), all retained items demonstrated statistically significant standardized factor loadings (λ > .60, with the vast majority exceeding .75, p < .001) onto their intended target latent constructs. Items with unstable cross-loadings or inadequate item-total correlations were eliminated, leaving an aligned 50-item measurement structure that captures each specified efficacy tier.

Discriminant Validity

Discriminant validity was established by comparing nested structural models. Given the conceptual proximity between individual and collective efficacy constructs, the empirical independence of the subscales was tested by fixing factor correlations to unity. Most critically, the two latent factors sharing the highest empirical correlation—Personal Response Efficacy and Collective Response Efficacy—were collapsed into a single consolidated latent factor. This forced integration caused a substantial deterioration in overall model fit (Δχ²(df = 6) = 483.73, p < .001), corroborating that respondents psychometrically distinguish between the outcome efficacy of their private personal actions and the pooled systemic efficacy of collective societal engagement.

Predictive and Criterion Validity

Predictive validity was substantiated by examining structural paths from the seven efficacy dimensions to concrete environmental behavioral outcomes. Structural equation models indicated differential predictive pathways: Personal Self-Efficacy and Personal Response Efficacy selectively predicted private-sphere sustainable behaviors (e.g., household energy conservation, recycling compliance, and sustainable dietary choices). In contrast, Collective Ingroup Efficacy and Collective Universal Efficacy uniquely predicted social activism, community environmental organizing, and peer-to-peer mobilization. Finally, Governmental Response Efficacy significantly predicted public-sphere policy support, pro-environmental voting intentions, and endorsements of statutory carbon taxation.

8. Reliability

The Environmental Efficacy Measure exhibits high internal consistency across all constituent dimensions. In the initial validation study conducted by Meijers et al. (2023) involving a Dutch adult panel, the subscale reliabilities were evaluated using standard internal consistency metrics:

• Personal Self-Efficacy: Cronbach’s α = .88
• Personal Response Efficacy: Cronbach’s α = .91
• Collective Ingroup Self-Efficacy: Cronbach’s α = .89
• Collective Ingroup Response Efficacy: Cronbach’s α = .92
• Collective Universal Self-Efficacy: Cronbach’s α = .86
• Collective Universal Response Efficacy: Cronbach’s α = .93
• Governmental Response Efficacy: Cronbach’s α = .90

Across all seven subscales, Cronbach’s alpha values fall between .86 and .93, surpassing standard psychometric cutoffs of .70 for research instruments and .80 for basic screening batteries. Composite reliability (CR) indices calculated via structural equation modeling similarly exceeded .85 across all dimensions, confirming strong scale score precision with negligible measurement error.

9. Factor Analysis

The dimensional architecture of the Environmental Efficacy Measure was verified through Confirmatory Factor Analysis (CFA) using robust maximum likelihood estimation (MLR) to account for potential multivariate non-normality.

Following the iterative elimination of problematic, non-discriminating, or high-cross-loading items during structural specification, the final seven-factor measurement model was estimated. The goodness-of-fit statistics demonstrated an acceptable fit to the empirical data:

• Model Chi-Square (χ²): 2311.88 (degrees of freedom df = 1134, p < .001)
• Comparative Fit Index (CFI): 0.93
• Tucker-Lewis Index (TLI): 0.92
• Root Mean Square Error of Approximation (RMSEA): 0.04 (90% Confidence Interval [0.040, 0.048])
• PCLOSE: 1.000 (confirming the hypothesis of close fit, RMSEA ≤ .05)
• Standardized Root Mean Square Residual (SRMR): 0.045

The ratio of χ² to degrees of freedom (χ²/df = 2.03) falls well within the benchmark threshold (< 3.0), indicating good parsimony. Factor loadings across all seven latent dimensions were strong and positive, with all standardized parameters reaching statistical significance at p < .001. Inter-factor correlations were moderate to high (ranging from r = .32 to r = .71), aligning with the theoretical premise that distinct efficacy dimensions are correlated components of a broader environmental agency matrix.

10. Instrument / Measurement Tool

• Test Type: Multidimensional psychometric self-report questionnaire / inventory.
• Administration Format: Self-administered paper-and-pencil or computerized web-based assessment.
• Number of Items: 50 items organized across seven subscales: Personal Self-Efficacy (Items 1–7), Personal Response Efficacy (Items 8–14), Collective Ingroup Self-Efficacy (Items 15–20), Collective Ingroup Response Efficacy (Items 21–26), Collective Universal Self-Efficacy (Items 27–32), Collective Universal Response Efficacy (Items 33–38), and Governmental Response Efficacy (Items 39–50).
• Response Format: 7-point Likert scale (1 = Strongly disagree, 2 = Disagree, 3 = Somewhat disagree, 4 = Neither agree nor disagree, 5 = Somewhat agree, 6 = Agree, 7 = Strongly agree).
• Scoring Procedures:
  • Subscale scores are computed by calculating the arithmetic mean of all items within that respective subscale.
  • Subscale scores range continuously from 1.0 to 7.0, with higher values reflecting stronger efficacy beliefs along that specific dimension.
  • There are no reverse-coded items in the standard 50-item scale structure.
  • Calculating a single aggregated global composite score is discouraged, as doing so masks the predictive divergence between individual, collective, and governmental agency.
• Target Population: Adults aged 18 years and older from general, community, or university populations.
• Completion Time: Approximately 10 to 15 minutes.

11. Permissions & Fee and Test Year

• Development Year: 2023.
• Copyright & Licensing: Published by Elsevier in the Journal of Environmental Psychology under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
• Fee Structure: The instrument is completely open access. There are no fees or licensing costs required for academic research, non-commercial education, or practical intervention design.
• Usage Terms: Researchers and practitioners may freely reproduce, adapt, and translate the scale items, provided proper academic attribution is credited to the original authors (Meijers et al., 2023).

12. References

• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• Bandura, A. (2000). Exercise of human agency through collective efficacy. Current Directions in Psychological Science, 9(3), 75–78. https://doi.org/10.1111/1467-8721.00064
• Feldman, L., Hart, P. S., & Milosevic, T. (2017). Polarizing news? Representations of threat and efficacy in leading US newspapers’ coverage of climate change. Public Understanding of Science, 26(4), 481–497. https://doi.org/10.1177/0963662515595308
• Hart, P. S., & Feldman, L. (2016). The influence of climate change efficacy frames on willingness to organize. Science Communication, 38(4), 507–530. https://doi.org/10.1177/1075547016655620
• Koletsou, A., & Mancy, R. (2011). Which efficacy constructs for large-scale social dilemma problems? Individual and collective forms of efficacy and outcome expectancy in the context of climate change mitigation. Risk Management, 13(4), 184–208. https://doi.org/10.1057/rm.2011.13
• Meijers, M. H. C., Wonneberger, A., Azrout, R., Torfadóttir, R. “H.”, & Brick, C. (2023). Introducing and testing the personal-collective-governmental efficacy typology: How personal, collective, and governmental efficacy subtypes are associated with differential environmental actions. Journal of Environmental Psychology, 85, Article 101915. https://doi.org/10.1016/j.jenvp.2022.101915
• Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4), 329–349. https://doi.org/10.1080/03637759209376276

13. Items of the Scale