1. Abstract
The Communities That Care Youth Survey-Australian adaptation (CTC-YSA) is an epidemiologically grounded, multi-domain self-report assessment instrument designed to measure adolescent health and behaviour, alongside an extensive profile of environmental and individual risk and protective factors. Rooted in the Social Development Model (SDM) developed by J. David Hawkins and Richard F. Catalano, the survey assesses ecological domains including community, school, family, and peer-individual contexts. The Australian adaptation was rigorously validated through collaborative initiatives between the Social Development Research Group (SDRG) at the University of Washington and Australian research teams at Deakin University, the University of Melbourne, and the Murdoch Children’s Research Institute, notably within the longitudinal International Youth Development Study (IYDS). The survey contains modular subscales capturing adolescent delinquency, substance misuse, academic engagement, prosocial involvement, dietary and physical activity habits, pubertal transition, and internalizing distress—exemplified by the embedded 13-item Communities That Care Youth Survey – Depressive Symptoms Scale (CTC-DSS). Featuring distinct response matrices ranging from 4-point Likert agreement formats (e.g., “NO!”, “no”, “yes”, “YES!”) to chronological frequencies and behavioural counts, the instrument exhibits robust psychometric stability. Confirmatory factor analyses demonstrate cross-national measurement invariance between Australian and American adolescent populations, with internal consistency coefficients exceeding α = .75 across most subscales and reaching α = .86 for the depressive symptom dimension. The CTC-YSA serves as an indispensable epidemiological tool for municipal community coalitions, school district prevention planning, public health monitoring, and translational developmental psychopathology research.
2. Keywords
Communities That Care, CTC Youth Survey, adolescent risk and protective factors, Social Development Model, depressive symptoms, International Youth Development Study, epidemiology, adolescent substance use, psychometrics, youth health behaviour.
3. Authors
The original Communities That Care Youth Survey was conceptualized and developed by J. David Hawkins, Ph.D., and Richard F. Catalano, Ph.D., at the Social Development Research Group (SDRG), School of Social Work, University of Washington, Seattle, Washington, United States.
The Australian cross-cultural adaptation, psychometric calibration, and longitudinal evaluation were directed by John W. Toumbourou, Ph.D. (Centre for Adolescent Health, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne; and School of Psychology, Deakin University, Geelong, Australia), Sheryl A. Hemphill, Ph.D. (School of Psychology, Australian Catholic University; previously Murdoch Children’s Research Institute), and Rachel F. Smith, Ph.D., alongside international co-investigators from the International Youth Development Study (IYDS) team.
Institutional Affiliations: Social Development Research Group, University of Washington, USA; Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, Victoria, Australia; School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia.
4. Purpose
The fundamental purpose of the Communities That Care Youth Survey-Australian adaptation is to provide community coalitions, state health authorities, educators, and developmental psychologists with an actionable, reliable, and valid epidemiological profile of adolescent wellbeing and behavioural risk. While diagnostic clinical batteries typically focus on identifying acute individual psychopathology, the CTC-YSA operates from a public health prevention paradigm. It systematically identifies the prevalence and co-occurrence of health and social problem behaviours—such as alcohol, tobacco, and illicit drug consumption, academic failure, truancy, interpersonal violence, bullying, school suspension, and depressive affect—while simultaneously tracking the underlying environmental hazards (risk factors) and ecological buffers (protective factors) that predict these trajectories.
In clinical and community practice, the CTC-YSA facilitates targeted primary and secondary prevention. Under the Communities That Care operating system, local community boards mobilize surveyed data to pinpoint which specific risk factors are significantly elevated in their youth population (e.g., peer drug use, low school bonding, early initiation of antisocial conduct) and which protective factors are systematically compromised (e.g., rewards for prosocial involvement, family attachment). This empirical profiling prevents municipal agencies from deploying generic, ineffective intervention strategies; instead, it matches communities with evidence-based prevention programs demonstrated to alter those exact developmental levers.
In academic research, the Australian adaptation addresses vital questions of cross-cultural developmental etiology. By adapting the instrument for Australian educational terminology (e.g., transitioning from “grades” to “years”, introducing local vernacular such as “wagging” for truancy, and adding indigenous identifiers for Aboriginal and Torres Strait Islander adolescents), the researchers created a standardized platform to conduct cross-national comparative research, such as the landmark International Youth Development Study. The inclusion of specialized modules addressing nutritional intake, transport habits, somatic growth spurts, and physical activity expands its utility into pediatric lifestyle medicine, health psychology, and environmental epidemiology.
5. Psychological Construct
The Communities That Care Youth Survey-Australian adaptation operationalizes a multi-dimensional ecological matrix founded upon the Risk and Protective Factor Framework. Rather than conceptualizing adolescent psychopathology or externalizing behaviour as spontaneous individual deficits, the instrument measures psychological constructs nested within four interactive spheres of social development:
- School Domain Constructs: Captures structural and relational elements of education. Key constructs include Opportunities for Prosocial Involvement (e.g., student participation in decision-making, sports, and class discussions), Rewards for Prosocial Involvement (e.g., teacher reinforcement, parental notification of achievement), Academic Achievement, and School Commitment / Bonding (e.g., perceiving schoolwork as meaningful, enjoying school, and striving for excellence).
- Peer and Individual Domain Constructs: Assesses intra-individual tendencies and direct peer influences. These encompass Impulsivity and Sensation Seeking (e.g., engaging in reckless dares, acting without reflection), Antisocial Attitudes and Beliefs (e.g., moral tolerance of theft, fighting, or academic dishonesty), Perceived Norms and Peer Antisocial Conduct (e.g., proportion of close friends who smoke, drink, use marijuana, or carry weapons), Social Emotional Competence (e.g., emotional regulation, conflict management, interpersonal empathy), and Early Substance Initiation.
- Internalizing Affect and Somatic Wellbeing (CTC-DSS): Measures depressive affect and cognitive distortions over a two-week recall window. The construct reflects negative self-evaluation (feelings of worthlessness, self-hatred, perceived alienation), anhedonia (inability to enjoy activities), lethargy, and psychosomatic distress (crying spells, poor concentration, chronic restlessness).
- Family Domain Constructs: Measures relational bonds within the household, including Family Attachment (e.g., emotional closeness, mutual disclosure with mothers and fathers), and Family Opportunity and Recognition (e.g., parental praise, collaborative family functioning).
- Health, Lifestyle, and Pubertal Constructs: Extends traditional sociological inquiry into biobehavioural realms. Constructs include sedentary screen exposure (television and video gaming durations), habitual physical activity, nutritional patterns (consumption of fresh produce, energy-dense snacks, sweetened beverages), weight preoccupation / dietary restraint, and self-perceived pubertal timing (Tanner stage correlates including growth spurts, body hair, facial hair, and vocal changes).
6. Theoretical Framework
The theoretical architecture of the CTC-YSA is primarily rooted in the Social Development Model (SDM), an integrative developmental theory articulated by J. David Hawkins and Richard F. Catalano. The SDM synthesizes key tenets from three foundational criminological and sociological traditions:
- Social Control Theory (Hirschi, 1969): Asserts that deviance occurs when an individual’s bond to conventional society is weakened or broken. The SDM incorporates Hirschi’s concepts of attachment, commitment, involvement, and belief as fundamental protective mechanisms that insulate youth from antisocial temptations.
- Social Learning Theory (Bandura, 1977): Posits that behavioural repertoires are acquired through observational modeling, vicarious reinforcement, and social interactions within primary socialization units. Adolescents learn both prosocial and antisocial patterns based on the models presented to them by parents, teachers, and peers.
- Differential Association Theory (Sutherland, 1947): Suggests that criminal or delinquent behaviour is learned through intimate personal groups where definitions favorable to legal or norm violations outweigh definitions unfavorable to such violations.
The SDM organizes these perspectives into a chronological, developmental sequence. In any given socialization unit (family, school, peer group, neighborhood), adolescents are provided with specific opportunities for involvement. If the youth possesses the necessary developmental skills to participate successfully, their involvement produces tangible or emotional rewards. Consistent reinforcement establishes a durable social bond characterized by emotional attachment and commitment to the socializing unit. Once formed, this social bond motivates the adolescent to adopt and conform to the behavioral standards and norms promoted by that group. If the unit maintains prosocial norms, the youth is protected from problem behaviours; conversely, if the bonding occurs within a delinquent or drug-using peer network, antisocial behaviour is systematically reinforced.
7. Validity
The validity of the Communities That Care Youth Survey has been extensively investigated across independent cohorts in the United States and Australia. In the validation of the Australian adaptation, researchers focused heavily on construct, convergent, discriminant, and predictive validity within the International Youth Development Study (IYDS), which tracked representative state-wide cohorts in Victoria, Australia, and Washington State, United States.
Construct and Factorial Validity: Structural equation modeling (SEM) and confirmatory factor analysis (CFA) have demonstrated that the hypothesized latent factors representing risk and protective scales adequately fit the observed data across age cohorts (Years 6, 8, and 10). When examining the internalizing module (CTC-DSS), CFA corroborated a unidimensional depressive symptom construct that remains stable across gender and cultural groups, exhibiting root mean square errors of approximation (RMSEA) < .05 and comparative fit indices (CFI) > .95.
Convergent and Discriminant Validity: Subscales measuring antisocial attitudes, peer delinquent modeling, and sensation seeking correlate robustly (r = .40 to .65, p < .001) with concrete externalizing criteria, including police arrest records, lifetime drug use frequencies, and self-reported weapon carrying. Conversely, subscales measuring school bonding and parental praise correlate negatively with academic truancy and illicit drug experimentation. The CTC-DSS exhibits high convergent validity when cross-validated against clinical screening instruments, such as the Center for Epidemiologic Studies Depression Scale (CES-D) and the Kessler Psychological Distress Scale (K10), demonstrating strong diagnostic concordance for identifying adolescents requiring psychological triage.
Predictive and Longitudinal Validity: Longitudinal tracking via the IYDS proved that elevated scores on peer substance use and low family attachment assessed at age 12 reliably predict clinical substance dependence, academic attrition, and depressive symptom onset at ages 15, 18, and 21. Furthermore, policy-driven natural experiments leveraging the CTC survey demonstrated that municipal communities implementing the CTC framework showed significantly lower rates of adolescent alcohol initiation, binge drinking, and delinquent violence over 4-year follow-up windows compared to matched control communities.
8. Reliability
The Communities That Care Youth Survey-Australian adaptation displays robust reliability across diverse demographic strata, geographic settings, and socioeconomic backgrounds.
Internal Consistency: Across psychometric evaluations conducted by the SDRG and Deakin University, Cronbach’s alpha (α) coefficients for the majority of the risk and protective factor scales meet or exceed standard psychometric thresholds (α ≥ .70). Specifically, scales measuring peer delinquent behaviour (α = .82–.88), sensation seeking (α = .74–.79), and perceived rewards for prosocial school involvement (α = .78–.84) demonstrate exemplary internal consistency. The 13-item Depressive Symptoms Scale (CTC-DSS; Item 58 A–M) demonstrates high internal reliability, with reported alpha values consistently ranging between α = .85 and α = .88 in representative samples of Australian secondary students.
Test-Retest Stability: Subscale stability assessed across short test-retest intervals (2 to 4 weeks) yields intraclass correlation coefficients (ICCs) between .72 and .86, indicating that the multi-item indices resist situational mood perturbations and capture stable, trait-like environmental perceptions and behavioural tendencies. Longitudinal autoregressive paths across 12-month waves indicate solid longitudinal stability, with test-retest correlations averaging r = .55 to .70 for core attitudinal and personality traits.
Measurement Quality and Inattentive Responding: The survey incorporates validity cross-checks—such as questions assessing the use of a fictitious drug (“phenoxydine / pox / PX / breeze”; Item 59E and 61E)—to screen out dishonest, erratic, or exaggerated responding. Youth who report consumption of this non-existent substance are flagged or excluded from final epidemiological aggregates, thereby preserving sample-wide data integrity and internal reliability.
9. Factor Analysis
The factorial validity of the CTC-YSA has been established through extensive exploratory (EFA) and confirmatory factor analyses (CFA), primarily within cross-cultural measurement invariance frameworks.
Measurement Invariance: Researchers evaluating the Australian adaptation alongside the original US instrument conducted multi-group confirmatory factor analysis (MGCFA) across Victorian and Washingtonian adolescents. Testing for configural, metric, and scalar invariance revealed that the multi-dimensional structure of the Risk and Protective Factor Framework generalizes across both national cohorts. Metric invariance constraints did not produce significant decrements in model fit (ΔCFI < .01, ΔRMSEA < .015), indicating that Australian and American youth interpret the underlying psychological constructs and item factor loadings identically.
School Domain Structure: Factor analyses of the school climate items (Items 17–25) confirm two distinct, correlated latent factors: Opportunities for Prosocial Involvement (loadings ranging from .58 to .76 on items reflecting student participation in decision-making and project assignments) and Rewards for Prosocial Involvement (loadings ranging from .64 to .82 on items reflecting teacher praise and parental notification).
Depressive Symptoms Scale (CTC-DSS): Confirmatory factor analysis of the 13 items in Item 58 reveals a dominant primary factor accounting for over 45% of the total variance. Standardized factor loadings are uniformly high, notably for item A (“felt miserable or unhappy”; λ = .74), item E (“felt I was no good anymore”; λ = .78), item H (“hated myself”; λ = .81), item I (“was a bad person”; λ = .75), and item L (“thought I could never be as good as other kids”; λ = .77). Model fit indices for the unidimensional model demonstrate strong empirical alignment: χ²/df < 2.8, Comparative Fit Index (CFI) = .965, Tucker-Lewis Index (TLI) = .958, and Root Mean Square Error of Approximation (RMSEA) = .042 (90% CI [.037, .047]).
10. Instrument / Measurement Tool
The Communities That Care Youth Survey-Australian adaptation is a comprehensive, modular epidemiological assessment battery administered in group school settings or online via secure digital portals.
- Test Type: Multi-dimensional self-report epidemiological survey and psychological screening battery.
- Administration Format: Supervised classroom administration (paper-and-pencil or computer-assisted web interview). Completed independently by students.
- Target Population: Adolescents typically enrolled in upper primary and secondary school (predominantly Year 6, Year 8, and Year 10; ages 11 to 17 years).
- Administration Time: Approximately 45 to 60 minutes for the full multi-domain battery; modular subscales (e.g., CTC-DSS) require 3 to 5 minutes.
- Item Count: 117 primary multi-part items covering demographics, school bonding, peer networks, individual opinions, emotional regulation, depressive symptoms, substance misuse, dietary habits, physical activity, and family dynamics.
- Response Formats: Employs diverse scale-specific response options tailored to cognitive developmental stages:
- Categorical and Demographic Selectors: Age brackets, grade levels, family ancestry, household composition.
- Four-Point Capitalized Likert Scales: “YES!” (1 / strongly agree), “yes” (2 / agree), “no” (3 / disagree), “NO!” (4 / strongly disagree).
- Past-Year Social Counts: “None of my friends” (1) to “4 of my friends” (5).
- Frequency Sequences: “Never” (1) to “10 or more times” (5); or “Never” (1) to “Once a week or more” (6).
- 3-Point Temporal Symptom Scaler (CTC-DSS): “True” (1), “Sometimes true” (2), “Not true” (3).
- Likert Evaluative Matrices: “Very bad at this” (1) to “Very good at this” (4); “Not wrong at all” (1) to “Very wrong” (4); “No risk” (1) to “Great risk” (4).
- Scoring and Data Transformation: Individual risk and protective factor scale scores are calculated by averaging item responses within each designated subscale after reverse-coding negatively worded items. In epidemiological reporting, scores are standardized against state-wide normative benchmarks. Populations scoring above the 50th or 60th percentile on specific risk factors are categorized as exhibiting elevated community vulnerability.
11. Permissions & Fee and Test Year
Historical Background and Year: The Communities That Care Youth Survey was originally developed in the late 1980s and formalized in the 1990s by Hawkins and Catalano. The Australian adaptation was piloted and formally integrated into longitudinal cohort tracking in 2001–2002 under the auspices of the International Youth Development Study (IYDS), with subsequent periodic revisions reflecting shifts in technology, sedentary screen use, and tobacco/vaping trends.
Accessibility, Rights, and Licensing: The Communities That Care operating system and its associated youth surveys are designed as public-domain prevention science resources. The standard instruments are freely accessible to schools, educational jurisdictions, non-profit community coalitions, and academic researchers. However, formal implementation within the registered Communities That Care municipal framework often involves structured technical assistance, training workshops, and automated community-level data reporting provided through authorized entities, including the Social Development Research Group (University of Washington) and Communities That Care Ltd. / Deakin University in Australia. Researchers wishing to utilize the complete battery or its copyrighted submodules are encouraged to contact the research team at Deakin University or SDRG to ensure protocol fidelity and obtain comparative normative benchmarks.
12. References
- Arthur, M. W., Hawkins, J. D., Pollard, J. A., Catalano, R. F., & Baglioni, A. J. (2002). Measuring risk and protective factors for substance use, delinquency, and other adolescent problem behaviors: The Communities That Care Youth Survey. Evaluation Review, 26(6), 575–601. https://doi.org/10.1177/0193841X0202600601
- Bandura, A. (1977). Social Learning Theory. Prentice-Hall.
- Catalano, R. F., & Hawkins, J. D. (1996). The social development model: A theory of antisocial behavior. In J. D. Hawkins (Ed.), Delinquency and crime: Current theories (pp. 149–197). Cambridge University Press. https://doi.org/10.1017/CBO9780511527623.007
- Glaser, R. R., Van Horn, M. L., Arthur, M. W., & Hawkins, J. D. (2005). Measurement properties of the Communities That Care Youth Survey across demographic groups. Journal of Quantitative Criminology, 21(1), 73–102. https://doi.org/10.1007/s10940-004-1788-1
- Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112(1), 64–105. https://doi.org/10.1037/0033-2909.112.1.64
- Hemphill, S. A., Toumbourou, J. W., Herrenkohl, T. I., McMorris, B. J., & Catalano, R. F. (2006). The effect of school suspensions and arrests on subsequent adolescent antisocial behavior in Australia and the United States. Journal of Adolescent Health, 39(5), 736–744. https://doi.org/10.1016/j.jadohealth.2006.05.010
- Hirschi, T. (1969). Causes of Delinquency. University of California Press.
- McMorris, B. J., Hemphill, S. A., Toumbourou, J. W., Catalano, R. F., & Patton, G. C. (2007). Prevalence of out-of-school suspensions and associations with antisocial behavior in Victoria, Australia and Washington State, United States. Health Education & Behavior, 34(4), 634–645. https://doi.org/10.1177/1090198106294894
- Toumbourou, J. W., Hemphill, S. A., Tresidder, J., Humphreys, C., Edwards, J., & Murray, D. (2007). Mental health promotion and socio-emotional learning in Victorian schools. Australian Journal of Guidance and Counselling, 17(2), 138–151. https://doi.org/10.1375/ajgc.17.2.138