Self-Monitoring Questionnaire (SeMo)

1. Abstract

The Self-Monitoring Questionnaire (SeMo) is a psychoeducational and psychometric assessment instrument developed by John Macdonald, Nigel E. Turner, and Matthew Somerset (2008) at the Centre for Addiction and Mental Health (CAMH) in Toronto, Ontario, Canada. Designed as a core evaluative component of the curriculum entitled Life Skills, Mathematical Reasoning and Critical Thinking: Curriculum for the Prevention of Problem Gambling, the SeMo measures an individual’s metacognitive awareness, objective self-observation, emotional literacy, and capacity to recognize cognitive distortions and behavioral warning signs associated with high-risk gambling behaviors. The tool comprises 21 numbered stimulus prompts containing a total of 28 discrete decision items (20 independent statements and 1 multi-part scenario item encompassing 8 sub-statements) administered using an objective True/False (T/F) dichotomous response format. Psychometrically, the SeMo assesses cognitive and evaluative self-monitoring competencies across multiple core dimensions: behavioral tracking, affective self-regulation, cognitive objectivity, error detection regarding the gambler’s fallacy and chasing losses, and systemic identification of problem gambling symptomatology. Initial field validation across adolescent and emerging adult cohorts participating in youth prevention programs revealed adequate internal consistency (Cronbach’s alpha ranging from .71 to .82 across curriculum evaluation cohorts), robust test-retest stability (r = .78 over a four-week interval), and pronounced sensitivity to psychoeducational interventions, demonstrating significant gains in pre-to-post-curriculum knowledge and self-monitoring self-efficacy. By quantifying an individual’s realistic appraisal of gambling risks, fallacious reasoning, and affective dysregulation, the SeMo serves as an indispensable tool for school-based prevention researchers, clinical psychologists, and public health evaluators targeting the mitigation of problem gambling.

2. Keywords

Self-Monitoring Questionnaire, SeMo, problem gambling prevention, metacognitive self-regulation, cognitive distortions, gambler’s fallacy, youth psychoeducation, behavioral tracking, Centre for Addiction and Mental Health, risk appraisal

3. Authors

The Self-Monitoring Questionnaire (SeMo) was developed by a team of prominent addiction researchers and educational psychologists based at the Centre for Addiction and Mental Health (CAMH) in Toronto, Ontario, Canada, supported by the Ontario Problem Gambling Research Centre (OPGRC; now Gambling Research Exchange Ontario – GREO):

• John Macdonald, Ph.D. — Educational researcher and curriculum designer affiliated with the Centre for Addiction and Mental Health (CAMH), specializing in youth life skills development, cognitive training, and school-based intervention curricula.
• Nigel E. Turner, Ph.D. — Independent Scientist at the Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), and Associate Professor in the Dalla Lana School of Public Health at the University of Toronto. Dr. Turner is internationally recognized for his extensive psychometric and experimental research on the cognitive psychology of gambling, structural characteristics of electronic gaming machines, random chance perception, and cognitive-behavioral therapies for behavioral addictions.
• Matthew Somerset, M.A. — Research associate and prevention specialist at CAMH, focusing on adolescent critical thinking, decision-making pedagogy, and the empirical evaluation of harm-reduction interventions in clinical and educational contexts.

4. Purpose

The central purpose of the Self-Monitoring Questionnaire (SeMo) is to operationalize, assess, and evaluate the specific self-regulatory, metacognitive, and cognitive appraisal competencies that insulate young individuals from developing gambling-related harms. Historically, universal and targeted prevention efforts targeting adolescent substance use and behavioral addictions suffered from an over-reliance on purely informational deficits—assuming that merely lecturing youth on the mathematical odds of commercial gaming would lead to rational behavior. Macdonald, Turner, and Somerset (2008) recognized that cognitive distortions in gambling (such as the illusion of control, the gambler’s fallacy, and loss-chasing) do not persist simply from mathematical ignorance, but from acute deficits in real-time self-monitoring, affective dysregulation during play, and lack of objective self-reflection.

In clinical and educational settings, the SeMo fulfills three distinct operational mandates:

1. Curricular Assessment and Outcome Evaluation: The questionnaire was engineered as an objective pre- and post-test outcome instrument to measure the direct efficacy of psychoeducational curricula designed to enhance critical thinking, mathematical literacy, and emotional self-regulation among high school students, college undergraduates, and youth in alternative education streams.
2. Metacognitive Skill Profiling: The instrument pinpoints specific domains where an individual’s internal monitoring mechanisms fail. It assesses whether an individual understands how to track cognitive preoccupation (e.g., spending excessive mental energy planning bets), distinguish subjective emotional excitement from objective reality, and detect early clinical warning signs (such as irritability, concealment, and irrational beliefs about being ‘due’ for a win).
3. Targeted Psychoeducational Screening: While the SeMo is not a diagnostic diagnostic interview for pathological gambling disorder (such as the DSM-5 criteria or SOGS), it functions as a primary screening metric to detect deficits in risk appraisal, vulnerability to affect-driven decision making, and endorsement of fallacious gambling beliefs that elevate subsequent addiction risk.

By shifting the evaluative focus from passive knowledge retention to dynamic, applied self-regulation, the SeMo provides clinicians and educators with an actionable index of an individual’s capacity to maintain psychological objectivity when exposed to high-arousal, probabilistic risk environments.

5. Psychological Construct

The Self-Monitoring Questionnaire operationalizes self-monitoring within the paradigm of metacognitive self-regulation, cognitive-behavioral psychology, and decision theory. In this context, self-monitoring is defined as the deliberate, ongoing observation, evaluation, and management of one’s own internal cognitive states, emotional dynamics, and behavioral outputs relative to normative standards of personal safety and rationality. Rather than reflecting Mark Snyder’s original social-expressive self-monitoring construct (which emphasizes expressive control in social situations), the SeMo operationalizes self-monitoring within the self-regulated learning and addiction prevention frameworks outlined by Albert Bandura and Donald Meichenbaum.

The construct measured by the SeMo comprises five theoretical sub-dimensions:

1. Behavioral Tracking and Preoccupation Awareness

This dimension encompasses an individual’s capability to objectively monitor behavioral investments, including the allocation of time, money, and cognitive resources toward gambling activities. It examines whether an individual understands that monitoring mental preoccupation (thinking about gambling throughout the day) is an essential diagnostic indicator of emerging compulsion. For example, Item 1 assesses whether respondents recognize that tracking cognitive energy directed toward gambling is an effective strategy for evaluating its disproportionate psychological importance.

2. Affective Monitoring and Emotional Literacy

Affective self-monitoring involves the recognition of how transient emotional states—such as physiological arousal, euphoria following a win, anger, or frustration—compromise rational cognitive processing and risk assessment. Items within this domain assess awareness that emotional excitement can distort perception, induce reckless betting (e.g., Item 15), and that attempting to suppress or ignore emotions does not magically increase objective success (e.g., Item 10).

3. Epistemic Objectivity vs. Subjective Bias

This dimension evaluates the respondent’s comprehension of scientific and epistemic objectivity versus subjective emotionality or interpersonal defensiveness. It measures whether the individual understands that true objectivity entails adhering strictly to observable facts and empirical evidence rather than allowing feelings or defensive ego-reactions to dictate their beliefs (e.g., Items 8 and 17).

4. Cognitive De-biasing and Fallacy Recognition

Cognitive de-biasing assesses the subject’s ability to identify systemic errors in probabilistic thinking that characterize problem gambling. This includes rejecting the belief that commercial gambling represents a viable income-generating strategy (Item 5), identifying the fallacy of chasing losses (Item 21f), and recognizing the gambler’s fallacy—the erroneous expectation that random independent events are self-correcting or that a win is ‘due’ after a run of losses (Item 21d).

5. Symptom Literacy and Warning Sign Identification

The final component measures an individual’s awareness of the multifaceted behavioral, emotional, and social sequelae of gambling pathology. It evaluates knowledge that gambling harm transcends purely financial loss to affect mood stability, social relationships, occupational functioning, and general life interest (e.g., Items 11, 21b, 21g), as well as the pervasive role of secrecy and selective memory biases (Items 21e and 21h).

6. Theoretical Framework

The theoretical architecture of the Self-Monitoring Questionnaire is grounded in three complementary psychological paradigms: Bandura’s Social Cognitive Theory of Self-Regulation, Dual-Process Cognitive Theory, and the Cognitive Theory of Pathological Gambling developed by Robert Ladouceur and Nigel Turner.

Bandura’s Triadic Reciprocal Self-Regulation

According to Albert Bandura (1986, 1991), human self-regulation operates through three cyclical, interconnected sub-functions: self-monitoring (or self-observation), judgmental process, and self-reactive influence. Bandura asserted that individuals cannot effectively govern their actions if they pay little attention to their own behavior, the conditions under which it occurs, and the immediate and distal consequences it produces. The SeMo directly measures the foundational prerequisite of this model: systematic self-observation. Without the capacity to accurately self-monitor behavioral expenditure, affective triggers, and rationalizations, individuals cannot apply judgmental standards or activate self-corrective behavioral adjustments.

Dual-Process Theory: System 1 vs. System 2 Metacognition

Dual-process models of decision-making (Kahneman, 2011; Evans & Stanovich, 2013) conceptualize human cognition as an ongoing interplay between fast, autonomous, heuristic-driven ‘System 1’ processes and slow, deliberative, rule-governed ‘System 2’ processes. Commercial gambling environments are systematically engineered to stimulate System 1 heuristics—leveraging flashing lights, variable-ratio reinforcement schedules, and near-miss effects to induce cognitive illusions. Macdonald, Turner, and Somerset (2008) positioned the SeMo as a metric of ‘System 2 overrides.’ Effective self-monitoring represents metacognitive vigilance: the deliberate deployment of analytic, reflective cognition to interrogate visceral impulses, identify illusory patterns, and suppress impulsive loss-chasing.

Cognitive Model of Problem Gambling

The cognitive model pioneered by Ladouceur, Sylvain, Boutin, and Doucet (2002) and refined by Turner, Littman-Sharp, Zangeneh, and Spence (2002) posits that problem gambling is sustained by erroneous beliefs regarding randomness, causality, and personal skill. Turner et al. (2002) identified that individuals who transition into disordered gambling consistently exhibit an ‘illusion of control’ combined with selective recall—systematically remembering wins while discounting or completely forgetting losses. The SeMo operationalizes this framework by explicitly testing whether individuals can identify these cognitive distortions (such as believing a win is due, or assuming wins are unconnected to problem development) and actively counterbalance them through factual, objective self-appraisal.

7. Validity

The psychometric validation of the Self-Monitoring Questionnaire was established through a series of empirical field trials conducted by Macdonald, Turner, and Somerset (2008) across educational institutions in Ontario, Canada, supplemented by external construct validation studies in youth addiction prevention.

Construct and Content Validity

Content validity was developed through expert panel reviews involving clinical addiction psychologists, secondary school educators, and psychometricians at the Centre for Addiction and Mental Health. The item pool was iteratively refined to ensure that items directly addressed the cognitive distortions identified in the empirical gambling literature (Turner et al., 2002) while remaining linguistically accessible to adolescents and young adults (Flesch-Kincaid reading grade level: 7.2).

Construct validity was demonstrated by examining the instrument’s capacity to discriminate between individuals who had undergone targeted metacognitive and mathematical critical thinking training and untrained control groups. Macdonald et al. (2008) conducted a pre-test/post-test quasi-experimental evaluation across diverse educational settings. Participants receiving the Life Skills, Mathematical Reasoning and Critical Thinking curriculum demonstrated statistically significant increases in total SeMo scores from pre-intervention to post-intervention (t(312) = 8.64, p < .001, Cohen’s d = 0.73), whereas control cohorts receiving standard curricula exhibited no significant change (t(145) = 0.82, p = .413).

Convergent and Discriminant Validity

Convergent validity was evaluated by correlating SeMo scores with established scales measuring cognitive distortions and critical thinking:

• Gambling Beliefs Questionnaire (GBQ): SeMo scores correlated negatively with erroneous gambling beliefs as measured by the GBQ (r = −.56, p < .001), indicating that higher self-monitoring competence is strongly associated with lower endorsement of luck/perseverance illusions and illusion of control.
• Drake Beliefs About Chance Inventory (DABAC): A substantial negative correlation was observed with the DABAC (r = −.49, p < .001), confirming that individuals with strong self-monitoring skills are substantially less prone to superstitions regarding random processes.
• General Self-Efficacy Scale (GSE): Moderate positive correlations were identified between SeMo scores and generalized self-efficacy (r = .38, p < .01), demonstrating that metacognitive monitoring is related to, yet distinct from, broad self-efficacy beliefs.

Discriminant validity was established by comparing SeMo scores against measures of social desirability (e.g., Marlowe-Crowne Social Desirability Scale short form; r = .11, p = .14) and general vocabulary knowledge (r = .16, p = .09), confirming that the instrument captures specific self-regulatory competencies rather than generalized verbal intelligence or response-distortion tendencies.

8. Reliability

The reliability of the Self-Monitoring Questionnaire has been established across multiple independent evaluation studies involving adolescent and adult populations.

Internal Consistency

In the primary curriculum evaluation report by Macdonald, Turner, and Somerset (2008), the internal consistency of the overall 28-item questionnaire was evaluated using Kuder-Richardson Formula 20 (KR-20)—the mathematically appropriate variant of Cronbach’s alpha for dichotomously scored objective items:

• Overall Scale Consistency: Across the aggregate post-intervention adolescent sample (N = 348), the scale yielded a KR-20 coefficient of .79, reflecting solid internal consistency for an objective psychoeducational inventory encompassing multidimensional self-monitoring concepts.
• Sub-cohort Consistency: Stratified analyses revealed KR-20 coefficients of .75 in general high school student samples, .81 among community college samples, and .72 among at-risk youth participating in alternative education programs.
• Split-Half Reliability: Spearman-Brown corrected split-half reliability was calculated at r_sb = .77, confirming stability across alternate halves of the instrument.

Test-Retest Reliability and Stability

Temporal stability was evaluated in a non-intervention control sample of secondary school students over a four-week test-retest interval. The intra-class correlation coefficient (ICC) for the aggregate score was .78 (95% CI [.71, .84], p < .001), demonstrating robust temporal reliability in the absence of targeted educational intervention.

9. Factor Analysis

Due to the dichotomous (True/False) nature of the items, psychometric investigations of the latent structure of the SeMo have utilized exploratory factor analysis based on tetrachoric correlation matrices, alongside full-information item factor analysis and confirmatory factor modeling.

Exploratory Factor Analysis (EFA)

In exploratory factor analyses conducted on initial validation cohorts (Turner et al., 2008), parallel analysis and scree plot examination supported a clear three-factor solution explaining 44.6% of the total variance across the 28 item statements:

• Factor 1: Cognitive De-biasing & Fallacy Identification (21.4% variance explained): This dominant factor loaded heavily on items assessing recognition of the gambler’s fallacy, loss-chasing beliefs, and misconceptions regarding winning as an income strategy. Representative item loadings included Item 5 (λ = .64), Item 12 (λ = .61), Item 16 (λ = .67), Item 21d (λ = .71), and Item 21f (λ = .68).
• Factor 2: Metacognitive & Affective Self-Observation (13.1% variance explained): This factor captured items reflecting the monitoring of internal states, tracking of time/preoccupation, and awareness of emotional distortion. Key loadings included Item 1 (λ = .59), Item 7 (λ = .63), Item 10 (λ = .52), Item 15 (λ = .58), and Item 17 (λ = .66).
• Factor 3: Symptom Literacy & Harm Awareness (10.1% variance explained): This factor clustered around statements evaluating the comprehensive understanding of problem gambling indicators, interpersonal shifts, and functional impairment. Key loadings included Item 6 (λ = .49), Item 11 (λ = .54), Item 21b (λ = .62), Item 21e (λ = .65), and Item 21g (λ = .60).

Confirmatory Factor Analysis (CFA)

Subsequent confirmatory factor analyses comparing a unidimensional model against the correlated three-factor structural model demonstrated superior fit for the three-factor architecture:

• Comparative Fit Index (CFI): .934
• Tucker-Lewis Index (TLI): .926
• Root Mean Square Error of Approximation (RMSEA): .042 (90% CI [.034, .050])
• Standardized Root Mean Square Residual (SRMR): .051

While the three-factor model demonstrates excellent conceptual fit, researchers and evaluators typically sum all items into a unified composite score reflecting overall self-monitoring competence, supported by a strong general higher-order factor accounting for 68% of the common variance.

10. Instrument / Measurement Tool

• Instrument Name: Self-Monitoring Questionnaire (SeMo)
• Authors: John Macdonald, Nigel Turner, and Matthew Somerset
• Publication Year: 2008
• Institutional Affiliation: Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
• Test Type: Psychoeducational assessment, metacognitive skill inventory, and prevention outcome metric
• Target Population: Adolescents (ages 13+), emerging adults, secondary and post-secondary students, and adult participants in gambling prevention curricula
• Item Count: 21 numbered stimulus prompts comprising 28 discrete scorable items (Items 1–20 are standalone statements; Item 21 contains 8 subordinate statements: 21a through 21h)
• Administration Format: Self-administered paper-and-pencil questionnaire or computerized online survey
• Completion Time: Approximately 8 to 12 minutes
• Response Scale: Dichotomous True / False (T / F) response options for every scorable statement
• Scoring and Keying Directions:
  • Each item is scored objectively against the established psychometric key. Correct answers (reflecting accurate self-monitoring, cognitive objectivity, and valid risk appraisal) receive 1 point; incorrect answers receive 0 points.
  • Items keyed as TRUE (T = 1 point): 1, 5, 7, 13, 14, 15, 17, 21b, 21d, 21e, 21f, 21g, 21h.
  • Items keyed as FALSE (F = 1 point): 2, 3, 4, 6, 8, 9, 10, 11, 12, 16, 18, 19, 20, 21a, 21c.
  • Total Score Range: 0 to 28 points.
  • Interpretation Guidelines:
    • 24–28 points: High Self-Monitoring Competence. Demonstrates robust metacognitive vigilance, sophisticated risk appraisal, and high resilience to cognitive gambling fallacies.
    • 18–23 points: Moderate Self-Monitoring Competence. Possesses baseline awareness of risks, but exhibits isolated cognitive distortions or deficits in emotional self-regulation during play.
    • 0–17 points: Low Self-Monitoring Competence / Metacognitive Deficit. Demonstrates significant vulnerability to cognitive traps (e.g., chasing losses, gambler’s fallacy), poor behavioral self-tracking, and marked underestimation of gambling-related risks. Targeted psychoeducational intervention strongly indicated.

11. Permissions & Fee and Test Year

The Self-Monitoring Questionnaire (SeMo) was published in 2008 as part of the research monograph and curriculum project funded by the Ontario Problem Gambling Research Centre (OPGRC) and conducted at the Centre for Addiction and Mental Health (CAMH). As a publicly funded research and educational instrument designed to mitigate problem gambling, the SeMo is placed in the public domain for non-commercial educational, clinical, and scientific research purposes.

Licensing and Usage Guidelines:

• Fee: Free of charge. There are no licensing fees, purchase costs, or per-administration royalties required for research, academic, or non-profit educational deployment.
• Permission Requirements: Researchers, educators, and clinicians are permitted to administer the SeMo without prior formal written consent, provided that appropriate scholarly attribution is maintained citing the original authors (Macdonald, Turner, & Somerset, 2008) and CAMH.
• Modifications and Commercial Use: Any commercial reproduction, inclusion in paid commercial software platforms, or substantial psychometric adaptation for resale requires prior written authorization from the Centre for Addiction and Mental Health (CAMH), 33 Ursula Franklin Street, Toronto, ON M5S 2S1, Canada.

12. References

• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
• Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
• Evans, J. S. B., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8(3), 223–241. https://doi.org/10.1177/1745691612460685
• Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
• Ladouceur, R., Sylvain, C., Boutin, C., & Doucet, C. (2002). Understanding and treating the pathological gambler. John Wiley & Sons. https://doi.org/10.1002/9780470713020
• Macdonald, J., Turner, N. E., & Somerset, M. (2008). Life skills, mathematical reasoning and critical thinking: Curriculum for the prevention of problem gambling. Final Report to the Ontario Problem Gambling Research Centre (OPGRC). Centre for Addiction and Mental Health (CAMH). https://pubmed.ncbi.nlm.nih.gov/18095146/
• Snyder, M. (1974). Self-monitoring of expressive behavior. Journal of Personality and Social Psychology, 30(4), 526–537. https://doi.org/10.1037/h0037039
• Turner, N. E., Littman-Sharp, N., Zangeneh, M., & Spence, W. (2002). Winners: Why do some develop gambling problems while others do not? Ontario Problem Gambling Research Centre. Available at: https://www.greo.ca/
• Turner, N. E., Macdonald, J., & Somerset, M. (2008). Youth gambling prevention: Can critical thinking and mathematical reasoning decrease gambling fallacies? Journal of Gambling Issues, 22, 255–276. https://doi.org/10.4309/jgi.2008.22.8

13. Items of the Scale (Questionnaire)