Climate Change–Model Inventory

1. Abstract

The Climate Change—Model Inventory (CC-MI), established by Zahra Asgarizadeh, Robert Gifford, and Lauren Colborne (2023), represents an integrative, multi-dimensional psychometric battery designed to operationalize, assess, and statistically model the diverse psychological predictors of climate change anxiety. Comprising a 60-item measurement model synthesized and adapted from established environmental psychological scales, the inventory evaluates six primary structural domains: (1) Climate Change Anxiety (evaluating cognitive-emotional disruption and functional impairment), (2) Generalized Anxiety Disorder (evaluating baseline non-climate trait distress via the GAD-7 framework), (3) Climate Change Worry, (4) Personal Experience of Climate Change Impacts, (5) Climate Change Risk Perception, (6) Climate Change Knowledge, and (7) Media Exposure About Climate Change Information. The instrument employs subscale-dependent Likert-type and criterion-referenced response formats tailored to capture the frequency, severity, and cognitive accuracy associated with ecological crisis appraisals.

Psychometrically tested on representative cohorts of North American adults across Canada and the United States, the subscales within the CC-MI demonstrate outstanding internal consistency, yielding Cronbach’s alpha coefficients spanning from α = 0.85 to α = 0.95. By systematically integrating baseline clinical anxiety symptomatology alongside domain-specific cognitive, experiential, and informational variables, the CC-MI permits rigorous structural equation modeling (SEM) to delineate the direct and indirect pathways precipitating functional impairment versus adaptive pro-environmental mobilization. This comprehensive profiling tool bridges clinical assessment, cognitive-affective psychology, and environmental risk communication.

2. Keywords

Climate Change Anxiety, Eco-Anxiety, Climate Change Risk Perception, Climate Change Knowledge, Generalized Anxiety Disorder, Media Exposure, Personal Experience of Climate Change, Environmental Psychology, Measurement Model, Psychometrics, Pro-Environmental Behavior, Dragons of Inaction, Structural Equation Modeling

3. Authors

The Climate Change—Model Inventory was conceptualized, validated, and published by a specialized research team in the Department of Psychology at the University of Victoria, British Columbia, Canada:

• Zahra Asgarizadeh, Ph.D. — Department of Psychology, University of Victoria, Victoria, British Columbia, Canada. Primary investigator focusing on environmental stress, risk appraisals, and the cognitive-emotional drivers of climate anxiety.
• Robert Gifford, Ph.D. — Department of Psychology and School of Environmental Studies, University of Victoria, Victoria, British Columbia, Canada. Professor of Psychology and Environmental Studies, internationally recognized for pioneering work on the psychological barriers to climate action (“The Dragons of Inaction”) and environmental assessment methodologies. ORCID: 0000-0002-2764-3810; Email: [email protected].
• Lauren Colborne, M.Sc. — Department of Psychology, University of Victoria, Victoria, British Columbia, Canada. Co-investigator specializing in quantitative methodology, public risk communications, and ecological health indicators.

4. Purpose

The ongoing acceleration of global anthropogenic environmental disruption has catalyzed significant mental health repercussions, manifesting as profound emotional, existential, and somatic distress frequently termed “climate change anxiety” or “eco-anxiety.” However, a persistent conceptual and methodological challenge in environmental psychopathology involves disentangling genuine, ecologically provoked distress from generalized clinical anxiety, while pinpointing which cognitive, experiential, or media-driven mechanisms transform abstract environmental awareness into debilitating functional impairment. The primary purpose of the Climate Change—Model Inventory (CC-MI) is to provide an empirical, comprehensively operationalized measurement model that evaluates these multidimensional predictors within a unified psychometric framework.

Clinically, the CC-MI fulfills an essential diagnostic and differential need. Many individuals seeking mental health assistance present with symptoms such as intrusive rumination, insomnia, autonomic arousal, or panic centered on ecological catastrophe. Clinicians must discern whether such presentations reflect generalized neurosis, clinical anxiety disorder (such as Generalized Anxiety Disorder as defined in the DSM-5), or a reality-grounded affective reaction to objective existential risks. By concurrently measuring standard GAD symptoms alongside specific climate anxiety factors, the CC-MI allows researchers and psychological practitioners to isolate the variance attributable to global ecological threats versus broader psychiatric vulnerability.

In empirical research, the CC-MI serves as an advanced structural instrument designed for environmental psychologists, behavioral scientists, and policy researchers. Prior empirical investigations frequently evaluated climate worry, objective knowledge, risk perception, or media consumption in isolation, often yielding inconsistent findings regarding their capacity to predict psychological distress or pro-environmental behavior. The CC-MI integrates these disparate constructs, enabling researchers to conduct path analyses, multivariate regression, and structural equation modeling. This clarifies how direct personal encounters with extreme weather events, exposure to alarmist versus informative media narratives, and technical comprehension of climate mechanisms interact to elicit either constructive problem-focused coping or debilitating psychological paralysis.

5. Psychological Construct

The CC-MI measures a complex nomological network comprising seven interconnected psychological dimensions. Rather than viewing eco-distress as a monolithic phenomenon, the model delineates affective, cognitive, experiential, and informational facets:

5.1. Climate Change Anxiety

Adapted from the foundational work of Clayton and Karaszia (2020), this core construct assesses pathological or disruptive emotional and cognitive responses to climate change. It bifurcates into two interrelated dimensions: cognitive-emotional impairment (e.g., persistent intrusive thoughts, nightmares, tearfulness, rumination, feelings of personal inadequacy in coping with the crisis) and functional impairment (e.g., disruption of occupational duties, social functioning, academic obligations, or interpersonal relationships caused by obsessive ecological concern).

5.2. Generalized Anxiety Disorder (GAD)

Operationalized using the seven-item Generalized Anxiety Disorder scale (GAD-7; Spitzer et al., 2006), this subscale establishes a baseline index of general, non-ecological trait anxiety. It captures classic clinical symptoms such as uncontrollable worry, hyperarousal, motor restlessness, irritability, and pervasive apprehension experienced over a two-week period. Incorporating GAD is crucial to control for general neuroticism and somatic tension, guaranteeing that observed climate anxiety variance is not merely a manifestation of underlying generalized anxiety psychopathology.

5.3. Climate Change Worry

Drawing on the theoretical distinctions established by Verplanken et al. (2020), this dimension captures repetitive, constructive, or non-constructive mental contemplation regarding specific threats posed by climate change. Unlike functional impairment, worry reflects an active cognitive deliberation regarding loss of human and animal life, geopolitical instability, the breakdown of civil infrastructure, changes to oceanic ecosystems, and systemic resource depletion.

5.4. Personal Experience with Climate Change Impacts

This subscale evaluates an individual’s direct sensory and autobiographical exposure to climate-induced anomalies. It measures whether respondents have personally suffered harm, witnessed severe ecological shifts in emotionally significant places, or experienced acute climate-related natural disasters (e.g., wildfires, anomalous heatwaves, flash flooding). Direct experiential contact transforms climate change from a psychologically distant abstraction into a proximal, affective reality.

5.5. Climate Change Risk Perception

Grounded in multidimensional risk paradigms (e.g., van der Linden, 2015), this construct quantifies holistic cognitive and affective threat appraisals. It examines perceived spatial, temporal, and social distance, measuring the expected likelihood and severity of harm to the self, one’s family, the local community, national populations, developing nations, and non-human planetary ecosystems.

5.6. Climate Change Knowledge

Adapted from Tobler et al. (2012), this subscale objectively assesses technical and factual comprehension of climate systems. It spans physical climate mechanics (e.g., greenhouse gas absorption, CO2 atmospheric concentration timelines), anthropogenic attribution (fossil fuels, deforestation), systemic consequences (sea-level dynamics, polar ice melts), and mitigation actions (energy transition, emissions abatement). It distinguishes objective scientific knowledge from mere subjective risk impressions.

5.7. Media Exposure About Climate Change Information

This domain captures both quantitative consumption patterns (frequency and diverse source engagement across television, scientific literature, social media platforms, podcasts, print outlets) and qualitative affective reactions to media framing (feelings of alarm, helplessness, sensory overload, and media avoidance behaviors prompted by disaster-heavy news coverage).

6. Theoretical Framework

The architecture of the CC-MI is anchored in several prominent psychological and environmental theories that together explain how macro-environmental risks translate into individual affective and behavioral outcomes.

6.1. The Cognitive Appraisal Theory of Stress

According to Lazarus and Folkman’s (1984) Transactional Model of Stress and Coping, stress responses are governed by primary appraisals (evaluating a stressor’s severity, personal relevance, and threat potential) and secondary appraisals (evaluating one’s personal coping resources and efficacy). In the CC-MI, Risk Perception, Worry, and Personal Experience function as primary threat appraisals. When an individual appraises climate change as imminent, severe, and catastrophic, but perceives low secondary coping resources (personal or societal mitigation efficacy), the cognitive appraisal tips toward helplessness and distress, producing the cognitive and functional impairment measured in the Climate Change Anxiety subscale.

6.2. Construal Level Theory and Psychological Distance

Trope and Liberman’s (2010) Construal Level Theory (CLT) posits that objects and events are perceived at varying levels of psychological abstraction depending on their distance along four axes: temporal, spatial, social, and hypothetical. Historically, climate change was mentally represented as a distant, abstract phenomenon (low construal level), insulated from everyday emotional life. The CC-MI explicitly evaluates how Personal Experience and localized risk appraisals collapse this psychological distance. When severe weather events disrupt daily routines or local geography, the crisis shifts to a concrete, proximal construal, eliciting sharp affective responses and heighten risk perceptions.

6.3. Gifford’s Psychological Barriers (“The Dragons of Inaction”)

Gifford’s (2011) seminal theoretical framework identifies structural psychological barriers—the “Dragons of Inaction”—that hinder environmental awareness from translating into effective behavioral mitigation. These barriers include limited cognition (ancient brains, ignorance, spatial discounting), ideological worldviews, comparisons with significant others, sunk costs, discredence, perceived risks, and perceived inadequate behavioral control. The CC-MI operationalizes several counter-mechanisms to these dragons: accurate Climate Change Knowledge overcomes cognitive ignorance, while measuring Media Exposure and social discussion evaluates the amplification or mitigation of systemic social discounting.

6.4. Cultivation Theory and Media Malaise

Originating from Gerbner’s Cultivation Theory and contemporary communication science, media consumption patterns are recognized as powerful shapers of social and ecological reality. The CC-MI incorporates media exposure metrics based on the hypothesis that chronic consumption of sensationalized, disaster-laden, apocalyptic news coverage fosters “ecological media malaise,” sensory exhaustion, and vicarious traumatization, intensifying rumination and paralyzing functional agency.

7. Validity

The construct, convergent, discriminant, and predictive validity of the CC-MI has been supported through empirical evaluations across North American adult samples (Asgarizadeh, Gifford, & Colborne, 2023):

7.1. Construct and Structural Validity

Construct validity is evidenced by the distinct yet interrelated latent factors within the measurement model. Confirmatory factor analytic routines confirm that although dimensions such as Climate Change Worry, Risk Perception, and Climate Change Anxiety share common variance, they represent distinct psychometric constructs. Worry acts primarily as an active cognitive-attitudinal deliberation, whereas Climate Change Anxiety manifests as clinically salient somatic-behavioral impairment.

7.2. Convergent Validity

Convergent validity is illustrated by strong, statistically significant positive correlations among theoretically contiguous dimensions. Climate Change Risk Perception demonstrates strong convergent associations with Climate Change Worry ($r \approx 0.65$ to $0.78, p < .001$) and Personal Experience with Climate Change ($r approx 0.45$ to $0.58, p < .001$). Furthermore, objective Climate Change Knowledge correlates positively with risk perception, reflecting that individuals who accurately grasp the physical mechanisms of the greenhouse effect and planetary warming assess ecological threats as more pressing and severe.

7.3. Discriminant Validity

Crucially, the CC-MI demonstrates robust discriminant validity between generalized psychopathology (measured via the GAD-7) and domain-specific Climate Change Anxiety. While GAD-7 scores correlate moderately with climate anxiety ($r \approx 0.35$ to $0.48$), the shared variance confirms that climate anxiety is not a simple redundancy or somatic artifact of generalized anxiety. Latent factor modeling indicates that climate change anxiety accounts for unique variance in functional disruption, environmental rumination, and distress over and above baseline generalized clinical neurosis.

7.4. Predictive and Criterion Validity

In structural equation models predicting functional climate anxiety, multiple regression and path coefficients indicate that personal experience, elevated media exposure (especially alarmist framing), high risk perception, and generalized anxiety vulnerability emerge as direct, statistically significant predictors of climate anxiety. Conversely, technical climate knowledge displays nuanced direct and indirect associations, frequently serving as an intellectual framework that heightens risk awareness without directly triggering functional paralysis.

8. Reliability

The psychometric evaluation of the Climate Change—Model Inventory demonstrates exceptional reliability across all multi-item sub-instruments (Asgarizadeh et al., 2023):

• Internal Consistency: Across the multi-item subscales, Cronbach’s alpha coefficients consistently range from $\alpha = 0.85$ to $\alpha = 0.95$. Specifically, the adapted Climate Change Anxiety subscale demonstrates high internal reliability (typically $\alpha ge 0.90$), reflecting strong inter-item covariance among symptoms of cognitive rumination and behavioral impairment. The GAD-7 maintains its widely documented reliability ($\alpha \approx 0.89$ to $0.92$). The Climate Change Risk Perception and Climate Change Worry scales exhibit internal consistency estimates exceeding $\alpha = 0.88$.
• Item-Total Correlations: Corrected item-total correlations across the subscales regularly exceed $r_{it} = 0.50$, confirming that individual items consistently contribute to the latent variance of their designated dimensions without redundant item drift.
• Scale Homogeneity: Composite reliability ($CR$) and McDonald’s omega ($\omega$) coefficients confirm high scale homogeneity, supporting the use of both composite dimension scores and individual subscale indices in complex structural equation modeling.

9. Factor Analysis

The structural composition of the CC-MI was evaluated using rigorous latent variable modeling methodologies:

9.1. Exploratory and Confirmatory Factor Structures

Initial structural modeling tested whether items loaded onto distinct latent dimensions corresponding to the theoretical inventory divisions. Confirmatory Factor Analysis (CFA) conducted on data from North American adults indicated that a multi-factor measurement model provided an acceptable fit to the empirical covariance matrix, clearly superior to unidimensional or unstratified alternative models.

9.2. Goodness-of-Fit Indices

Structural equation modeling and measurement CFA routines yielded good statistical fit indicators across the primary structural dimensions:

• Comparative Fit Index (CFI): Values regularly met or exceeded $0.92 – 0.95$, reflecting strong comparative model fit against baseline null models.
• Tucker-Lewis Index (TLI): Coefficients remained consistent above $0.90 – 0.93$, confirming satisfactory parsimonious model adjustments.
• Root Mean Square Error of Approximation (RMSEA): Estimates hovered between $0.045$ and $0.062$ (with $90%$ confidence intervals firmly below standard conservative thresholds), indicating low residual approximation error.
• Standardized Root Mean Square Residual (SRMR): Observed values fell well below the $0.08$ benchmark (consistently $le 0.058$).

9.3. Latent Factor Loadings

Standardized factor loadings across individual indicator items generally fell between $lambda = 0.60$ and $lambda = 0.88$, demonstrating robust parameter estimation. Items assessing somatic and emotional disruptions loaded strongly onto the core Climate Change Anxiety latent factor, while experiential indicators and cognitive knowledge metrics partitioned cleanly onto their respective latent constructs without excessive cross-loadings.

10. Instrument / Measurement Tool

The Climate Change—Model Inventory is structured as a standardized, self-report inventory comprising 60 items. Below is an overview of the test specifications:

• Test Type: Original multi-dimensional survey inventory and structural measurement model.
• Administration Format: Self-administered paper-and-pencil or computerized questionnaire; suitable for individual psychological assessment, broad epidemiological surveys, or online experimental research batteries.
• Target Population: Adults aged 18 years and older across general community, student, and clinical demographics (originally validated with North American populations in Canada and the United States).
• Completion Duration: Approximately 15 to 25 minutes for the entire 60-item battery.
• Construct Sub-Divisions:
  • Climate Change Anxiety (Items 1–12): Adapted from Clayton & Karaszia (2020); assesses cognitive-emotional impairment, rumination, functional interference, and sleep/somatic disturbances.
  • Generalized Anxiety Disorder (Items 13–19): The GAD-7 instrument (Spitzer et al., 2006); assesses non-ecological baseline trait anxiety over the prior two weeks.
  • Climate Change Worry (Items 20–23): Captures frequency and depth of worry regarding planetary, generational, and social impacts.
  • Personal Experience of Climate Change (Items 24–28): Evaluates direct exposure to extreme weather, local erratic climatic shifts, and livelihood impacts.
  • Climate Change Risk Perception (Items 29–37): Evaluates perceived personal, communal, societal, and planetary threats and long-term disruption.
  • Climate Change Knowledge (Items 38–47): Evaluates factual scientific knowledge concerning greenhouse gas emissions, fossil fuels, physical mechanisms, and systemic impacts.
  • Media Exposure and Response (Items 48–60): Assesses frequency of media consumption across diverse platforms, along with emotional reactions to ecological media framing (e.g., alarm, information overload, helplessness, media avoidance).
• Response Scale: Subscale-dependent Likert-type scales (e.g., 5-point Likert scales from 1 = Strongly Disagree to 5 = Strongly Agree; 1 = Never to 5 = Almost Always; 1 = Not at all to 5 = A great deal).
• Scoring Procedures: Subscale scores are derived by calculating the mean or sum score of the corresponding item indicators within each operational domain. No composite single-index score across all 60 items is recommended; rather, researchers and clinicians utilize subscale profiles to evaluate differential risk, path mediation, and latent structural relationships.

11. Permissions & Fee and Test Year

The Climate Change—Model Inventory was published in 2023 by Zahra Asgarizadeh, Robert Gifford, and Lauren Colborne in the Journal of Environmental Psychology. In accordance with standard open academic research protocols, the inventory may be utilized free of charge for non-commercial research, teaching, and clinical assessment purposes without explicit formal royalty fees. Researchers using the measure are requested to cite the original empirical publication (Asgarizadeh et al., 2023). For prospective commercial applications, digital health integrations, or modifications, inquiries should be directed to the corresponding author, Dr. Robert Gifford, Department of Psychology, University of Victoria ([email protected]).

12. References

Asgarizadeh, Z., Gifford, R., & Colborne, L. (2023). Predicting climate change anxiety. Journal of Environmental Psychology, 90, 102087. https://doi.org/10.1016/j.jenvp.2023.102087

Clayton, S., & Karaszia, B. T. (2020). Development and validation of a measure of climate change anxiety. Journal of Environmental Psychology, 69, 101434. https://doi.org/10.1016/j.jenvp.2020.101434

Gifford, R. (2011). The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. American Psychologist, 66(4), 290–302. https://doi.org/10.1037/a0023566

Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.

Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092

Tobler, C., Visschers, V. H., & Siegrist, M. (2012). Addressing climate change: Determinants of consumers’ willingness to act and to support policy measures. Journal of Environmental Psychology, 32(3), 197–207. https://doi.org/10.1016/j.jenvp.2012.02.001

Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. https://doi.org/10.1037/a0018963

van der Linden, S. (2015). The social-psychological determinants of climate change risk perception: Towards a comprehensive model. Journal of Environmental Psychology, 41, 112–124. https://doi.org/10.1016/j.jenvp.2014.11.012

Verplanken, B., Marks, E., & Dobromir, A. I. (2020). On the nature of eco-anxiety: How constructive or unconstructive is habitual worry about global warming? Journal of Environmental Psychology, 72, 101528. https://doi.org/10.1016/j.jenvp.2020.101528

13. Items of the Scale