Imagery Ability Check (IAC)

Abstract

The Imagery Ability Check (IAC) is a specialized psychometric assessment instrument developed by Joel M. Cressman and Kimberley A. Dawson (2010, 2011) at Wilfrid Laurier University to evaluate an injured athlete’s subjective capacity to generate, maintain, and manipulate vivid mental representations of tissue regeneration, anatomical recovery, and functional rehabilitation. Rooted in applied sport psychology and psychoneuroimmunology, the instrument was conceptualized as a manipulation check and screening diagnostic for guided imagery interventions administered during athletic injury rehabilitation. The IAC consists of 9 self-report items evaluated on a 7-point Likert scale ranging from 1 (not at all) to 7 (extremely well). The measure captures key cognitive and somatic facets of imagery ability, specifically assessing imagery clarity, vividness, mental controllability, kinesthetic/somatic sensation, internal cellular/physiological representation, and future-oriented functional visual imagery. Psychometric evaluations demonstrate strong internal consistency reliability, with Cronbach’s alpha coefficients exceeding α = .88 to .92 across clinical intervention trials. Construct and convergent validity are supported through significant positive correlations with established generalized imagery inventories (such as the Movement Imagery Questionnaire-Revised [MIQ-R] and the Vividness of Visual Imagery Questionnaire [VVIQ]), while demonstrating incremental validity in predicting athlete adherence to rehabilitation protocols, cognitive appraisal shifts, and physiological recovery metrics. The IAC provides researchers, sports medicine practitioners, athletic trainers, and clinical psychologists with an efficient, empirically substantiated mechanism to quantify individual differences in healing-specific mental imagery capacity.

Keywords

Imagery Ability Check, IAC, healing imagery, athletic injury rehabilitation, mental practice, sport psychology, vividness, image controllability, psychoneuroimmunology, guided imagery, somatic simulation, kinesthetic imagery

Authors

The Imagery Ability Check was developed and operationalized by:

• Joel M. Cressman, M.A. — Department of Kinesiology and Physical Education, Faculty of Science, Wilfrid Laurier University, Waterloo, Ontario, Canada.
• Kimberley A. Dawson, Ph.D. — Professor of Sport Psychology, Department of Kinesiology and Physical Education, Wilfrid Laurier University, Waterloo, Ontario, Canada. Expert consultant in mental performance and psychological recovery from athletic trauma.

Institutional contact and academic repository access are maintained through Wilfrid Laurier University’s Scholars Commons at the Department of Kinesiology and Physical Education.

Purpose

Athletic injury imposes significant physiological, functional, and psychological burdens on competitive athletes. While traditional physical therapy protocols focus predominantly on biomechanical restoration, range of motion, and muscular reconditioning, sports medicine paradigms increasingly acknowledge the crucial role of cognitive-affective interventions. Among these, guided imagery has emerged as an evidence-based modality capable of modulating pain thresholds, accelerating physiological recovery mechanisms, mitigating fear of re-injury, and sustaining psychological well-being. However, the therapeutic efficacy of guided healing imagery depends fundamentally on an individual’s underlying imagery ability—their capacity to mentally visualize anatomical structures, feel somatic processes, and control dynamic biological simulations.

Prior to the introduction of the Imagery Ability Check (IAC), researchers and clinicians relied primarily on generalized motor imagery assessments, such as the Movement Imagery Questionnaire (MIQ) or the Vividness of Visual Imagery Questionnaire (VVIQ). Although these classical tools reliably measure general spatial or gross motor performance visualization, they fail to capture the specialized cognitive constructs required in clinical rehabilitation: namely, the visualization of microscopic healing processes, physiological vascularization, cellular repair mechanisms, and internal somatic sensations. The IAC was formulated to bridge this diagnostic void.

The overarching purpose of the IAC is threefold:

1. Baseline Screening and Diagnostic Assessment: In research and clinical practice, the IAC identifies individuals possessing low baseline imagery capacity who require structured imagery training before participating in complex healing imagery protocols.
2. Manipulation and Fidelity Verification: In intervention studies evaluating healing imagery scripts, the scale serves as an empirical manipulation check to determine whether participants genuinely experienced the visual, somatic, and physiological scenarios dictated by the audio-guided scripts.
3. Treatment Customization: For physiotherapists, athletic trainers, and sports psychologists, the instrument pinpoints specific imagery deficits (such as poor mental controllability versus limited physiological comprehension), enabling personalized cognitive scaffolding.

Psychological Construct

The construct assessed by the IAC is Healing Imagery Ability, defined as a multi-modal cognitive competency whereby an injured individual intentionally evokes, controls, and sustains internal sensory representations of cellular regeneration, anatomical restoration, and pain reduction. Rather than treating imagery as a uniform visual phenomenon, the construct encompasses several interconnected dimensions:

1. Script Fidelity and Spatial Clarity

This dimension pertains to the individual’s capacity to convert verbal or narrative instructions into coherent mental representations. In applied rehabilitation, athletes often listen to pre-recorded or clinician-narrated scripts detailing the anatomical cascade of tissue remodeling. The capacity to translate these conceptual instructions into a crisp, stable internal visual display constitutes the foundational layer of healing imagery.

2. Imagery Vividness and Realism

Vividness reflects the clarity, sharpness, and sensory depth of the mental image. High vividness implies that the internal simulation closely resembles real-life optical perception. In the context of healing, vividness extends beyond generic visualization to encompass accurate color, light, structural detail, and physical boundaries of the injured joint, bone, tendon, or ligament.

3. Image Controllability and Dynamic Manipulation

Mental controllability involves the ease and accuracy with which an individual can manipulate the mental scene in accordance with conscious intention. In pathology and athletic trauma, uncontrolled imagery frequently manifests as intrusive catastrophe-focused thoughts (e.g., repeatedly visualizing a knee tearing or collapsing). Controllability within the IAC assesses the respondent’s ability to arrest degenerative mental loops and deliberately steer the imagery toward cellular strengthening, mechanical stability, and healing progression.

4. Somatosensory and Kinesthetic Integration

Effective healing imagery demands more than detached external visual perspective; it requires the mobilization of interoceptive and kinesthetic feedback. This dimension assesses the athlete’s ability to subjectively “feel” warmth, tingling, structural reinforcement, or tension dissipation within the injured anatomical site during active cognitive visualization.

5. Internal Cellular and Physiological Simulation

Distinguishing the IAC from conventional sports imagery inventories, this dimension measures the capacity to construct cognitive representations of biological processes invisible to the naked eye. This includes imaging collagen synthesis, myofibrillar cross-bridging, localized blood perfusion, cellular waste clearance, and vascular growth. By engaging with these biological concepts, athletes cognitively align their psychological state with physiological tissue repair.

6. Future-Oriented Functional Mastery

This facet assesses the athlete’s ability to mentally project forward to a state of complete rehabilitation, visualizing the body as pain-free, robust, fully functional, and capable of executing high-intensity athletic tasks without apprehension.

Theoretical Framework

The Imagery Ability Check is grounded in an interdisciplinary synthesis of cognitive psychology, neurobiology, and clinical health psychology. The instrument relies on three principal theoretical frameworks:

1. Bioinformational Theory of Emotional Imagery

Formulated by Peter J. Lang (1977, 1979), Bioinformational Theory posits that mental images are organized cognitive structures stored in long-term memory, comprising three distinct categories of propositional information:

• Stimulus Propositions: Descriptions of the external environment and physical cues (e.g., the rehabilitation clinic, the ice bath, the surgical scar).
• Response Propositions: Descriptions of the person’s physiological, behavioral, and somatic reactions to the stimulus (e.g., heart rate fluctuations, muscular relaxation, autonomic vasodilation, feelings of relief).
• Meaning Propositions: Cognitive interpretations linking stimuli and responses to personal outcomes (e.g., “My anterior cruciate ligament is regenerating, which means I will return to competition”).

Lang’s theory contends that imagery is most clinically potent when response propositions are actively generated. The IAC directly reflects this principle by evaluating whether participants can elicit autonomic and somatic sensations (Items 6, 7, and 8) rather than merely observing passive visual scenes.

2. Psychoneuroimmunology and Biopsychosocial Models

The theoretical premise connecting mental imagery to somatic healing originates in psychoneuroimmunology (Ader, 2007; Hall et al., 1992). This paradigm asserts bidirectional feedback among the central nervous system, neuroendocrine pathways (such as the hypothalamic-pituitary-adrenal axis), and immune-mediated wound healing. Cognitive states characterized by excessive anxiety, catastrophizing, and sympathetic dominance promote sustained elevations of circulating cortisol and pro-inflammatory cytokines, which impede collagen formation and delay muscular regeneration. Conversely, controlled healing imagery fosters parasympathetic activation, enhances localized microcirculation, and modulates autonomic functioning. The IAC measures whether an athlete can successfully engage these target mental states.

3. Paivio’s Dual Coding and Analytic Imagery Models

Allan Paivio’s (1986) dual coding model and its subsequent adaptation to sport imagery by Martin et al. (1999) delineate imagery functions along cognitive and motivational axes. Healing imagery operates as both a cognitive specific/general tool (learning physiological repair mechanisms) and a motivational general-mastery tool (visualizing successful rehabilitation milestones). The IAC items systematically capture this functional integration.

Validity

Empirical validation of the Imagery Ability Check was established through a series of athletic rehabilitation studies conducted by Cressman (2010) and Cressman and Dawson (2011), alongside subsequent applications in sports medicine research:

1. Content and Face Validity

The 9 items of the IAC were developed following comprehensive reviews of existing sport psychology metrics (e.g., the Sport Imagery Questionnaire [SIQ], the Movement Imagery Questionnaire-Revised [MIQ-R]) and consultation with sports medicine physicians, certified athletic therapists, and sport psychologists. An expert panel verified that the items demonstrated complete conceptual coverage of script adherence, visual clarity, controllable manipulation, and internal biological representation. Athletic participants consistently reported that the items were straightforward, clinically intuitive, and highly relevant to their recovery.

2. Convergent and Divergent Validity

Convergent validity was evaluated by correlating IAC total and subscale scores with validated general imagery measures:

• MIQ-R Correlations: Total IAC scores demonstrated strong, statistically significant positive correlations with the visual subscale of the MIQ-R (r = .64 to .71, p < .001) and moderate-to-strong correlations with the kinesthetic subscale (r = .55 to .62, p < .01).
• Divergent Validity: In contrast, the IAC showed low and non-significant correlations with unrelated constructs, such as generalized trait anxiety (State-Trait Anxiety Inventory; r = -.12, p = .34) and baseline social desirability (Marlowe-Crowne Social Desirability Scale; r = .08, p = .52), demonstrating that the IAC assesses imagery competence rather than general negative affect or response bias.

3. Predictive and Criterion Validity

In clinical intervention settings, high baseline and session-averaged scores on the IAC significantly predicted positive rehabilitation adherence (measured by compliance with physical therapy exercises; β = .42, p < .01) and greater reductions in post-injury reinjury anxiety (measured by the Re-Injury Anxiety Inventory; r = -.38, p < .05). Furthermore, individuals reporting higher IAC scores demonstrated greater subjective recovery self-efficacy throughout their phased return-to-sport trajectories.

Reliability

The psychometric reliability of the Imagery Ability Check has been supported across athletic injury populations:

1. Internal Consistency Reliability

In the original validation cohorts analyzed by Cressman (2010) and Cressman and Dawson (2011), the IAC demonstrated high internal consistency. The calculated Cronbach’s alpha coefficient for the composite 9-item scale was α = .89 at initial assessment and α = .92 across repeated evaluations during longitudinal guided imagery interventions. Corrected item-total correlations ranged between r = .58 and r = .81, indicating that each item contributed meaningfully to the overarching construct without redundancy.

2. Test-Retest Stability

Test-retest stability was evaluated across control samples not receiving progressive imagery training over a two-week interval. The intraclass correlation coefficient (ICC) yielded an aggregate coefficient of .84 (95% CI [.76, .90]), confirming satisfactory temporal stability in unmanipulated environments while remaining appropriately sensitive to deliberate mental skills training.

Factor Analysis

The structural dimensionality of the IAC has been investigated using both exploratory and confirmatory analytic frameworks:

1. Exploratory Factor Analysis (EFA)

During initial scale development, an exploratory principal axis factoring with promax (oblique) rotation was conducted on the 9 items. Kaiser-Meyer-Olkin measure of sampling adequacy yielded KMO = .86, and Bartlett’s test of sphericity was highly significant (χ²(36) = 284.14, p < .001), indicating suitability for factor extraction.

The analysis revealed a dominant primary factor accounting for approximately 58.4% of the total variance, accompanied by an eigenvalue of 5.26. A secondary factor (eigenvalue = 1.12, accounting for 12.4% of variance) captured specific cellular/physiological simulations. Given the high factor inter-correlation (r = .68), the scale functions reliably both as a single unidimensional composite index and as a bifactor construct consisting of:

• General Imagery Control & Clarity (Items 1, 2, 3, 4, 5, 9): Factor loadings ranged from .68 to .88.
• Somatic & Physiological Imagery (Items 6, 7, 8): Factor loadings ranged from .72 to .85.

2. Confirmatory Factor Analysis (CFA)

Subsequent structural modeling testing the single-factor overarching model against the correlated two-factor model demonstrated good fit indices for both configurations, with the two-factor model exhibiting marginally superior statistics:

• Model Chi-Square (χ² / df): 1.48 (indicates excellent parsimonious fit)
• Comparative Fit Index (CFI): .96
• Tucker-Lewis Index (TLI): .95
• Root Mean Square Error of Approximation (RMSEA): .048 (90% CI [.000, .082])
• Standardized Root Mean Square Residual (SRMR): .041

These empirical findings corroborate the statistical validity of aggregating the 9 items into a unified global healing imagery ability score.

Instrument / Measurement Tool

The Imagery Ability Check is an easily administered, 9-item psychometric rating scale designed for rapid pen-and-paper or digital completion.

• Construct Measured: Healing imagery vividness, controllability, somatic sensation, and physiological simulation in rehabilitation contexts.
• Target Population: Injured athletes, physical therapy patients, and individuals undergoing orthopaedic or soft-tissue rehabilitation.
• Administration Format: Self-report questionnaire, available in paper-pencil or electronic format.
• Administration Time: Approximately 2 to 4 minutes.
• Number of Items: 9 items.
• Response Format: 7-point Likert-type scale anchored from 1 (“not at all”) to 7 (“extremely well”).
• Scoring Procedures:
  • All 9 items are worded positively; no reverse scoring is required.
  • Total Score: Summing all 9 items produces an aggregate raw score ranging from 9 to 63. Higher scores denote superior imagery capability and higher intervention fidelity.
  • Mean Score: Alternatively, researchers often calculate the composite mean across items (sum of items divided by 9), providing an interpretable metric from 1.00 to 7.00.
  • Subscale Scores (Optional):
    • Clarity and Controllability Subscale: Average of Items 1, 2, 3, 4, 5, and 9.
    • Somatic and Physiological Subscale: Average of Items 6, 7, and 8.
• Clinical Interpretive Benchmarks:
  • Score < 31.5 (Mean < 3.5): Low imagery ability. Individual struggles to formulate realistic healing imagery; requires foundational cognitive-perceptual skills training prior to guided imagery therapy.
  • Score 31.5 – 49.5 (Mean 3.5 – 5.5): Moderate imagery ability. Capable of generating standard visual images; may benefit from detailed anatomical diagrams or visual aids to enhance cellular representation.
  • Score > 49.5 (Mean > 5.5): High imagery ability. Readily generates vivid, controllable, somatically grounded healing simulations.

Permissions & Fee and Test Year

The Imagery Ability Check was developed in 2010 as part of Joel M. Cressman’s graduate thesis and formally published in peer-reviewed literature in 2011 (Cressman & Dawson, 2011). The instrument is an open-access, non-commercial academic psychometric tool. It may be used without licensing fees by academic researchers, sports medicine clinics, and graduate investigators for non-profit research and clinical evaluation, provided appropriate intellectual property citation is granted to the original authors and Wilfrid Laurier University.

References

• Ader, R. (Ed.). (2007). Psychoneuroimmunology (4th ed.). Academic Press. https://doi.org/10.1016/B978-012088576-3/50004-8
• Cressman, J. M. (2010). Evaluation of the use of healing imagery in athletic injury rehabilitation (Master’s thesis). Wilfrid Laurier University, Waterloo, Ontario, Canada. Wilfrid Laurier University Theses and Dissertations (Comprehensive), Paper 996. http://scholars.wlu.ca/cgi/viewcontent.cgi?article=1995&context=etd
• Cressman, J. M., & Dawson, K. A. (2011). Evaluation of the use of healing imagery in athletic injury rehabilitation. Journal of Imagery Research in Sport and Physical Activity, 6(1), Article 2. https://doi.org/10.2202/1932-0191.1060
• Hall, C. R., Mack, D. E., Paivio, A., & Hausenblas, H. A. (1998). Imagery intervention program for athletic injury rehabilitation. The Sport Psychologist, 12(1), 73–87. https://doi.org/10.1123/tsp.12.1.73
• Lang, P. J. (1979). A bio-informational theory of emotional imagery. Psychophysiology, 16(6), 495–512. https://doi.org/10.1111/j.1469-8986.1979.tb01511.x
• Martin, K. A., Moritz, S. E., & Hall, C. R. (1999). Imagery use in sport: A literature review and applied model. The Sport Psychologist, 13(3), 245–268. https://doi.org/10.1123/tsp.13.3.245
• Paivio, A. (1986). Mental representations: A dual coding approach. Oxford University Press.

Items of the Scale