{"id":7830,"date":"2026-09-26T23:26:56","date_gmt":"2026-09-26T23:26:56","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/antisocial-attitudes-scale\/"},"modified":"2026-09-26T23:26:56","modified_gmt":"2026-09-26T23:26:56","slug":"antisocial-attitudes-scale","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=antisocial-attitudes-scale","title":{"rendered":"Antisocial Attitudes Scale"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Antisocial Attitudes Scale<\/strong>, formally documented within epidemiological literature as the <strong>Favorable Attitudes Toward Antisocial Behavior Scale (FAABS)<\/strong>, is an empirically validated psychometric instrument developed to assess an adolescent&#8217;s cognitive tolerance, moral endorsement, and normative acceptance of delinquent and violent behaviors. Originating from the groundbreaking developmental criminology research conducted by the <a href=\"https:\/\/www.sdrg.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Social Development Research Group (SDRG)<\/a> at the University of Washington, this instrument functions as a core individual-level risk factor subscale within the <em>Communities That Care Youth Survey (CTC-YS)<\/em> and the Center for Substance Abuse Prevention (CSAP) Core Measures. The scale operationalizes adolescent evaluation of misconduct across five explicit behavioral transgressions: carrying a concealed weapon (handgun) to an academic institution, theft of property valued above five dollars, initiating interpersonal physical altercations, severe aggravated assault intended to inflict substantial bodily harm, and unexcused chronic truancy. Evaluated using a 4-point Likert-type cognitive-normative response format ranging from <em>1 (&quot;Very wrong&quot;)<\/em> to <em>4 (&quot;Not wrong at all&quot;)<\/em>, higher composite scores indicate heightened moral disengagement, systemic neutralization of conventional social norms, and pronounced cognitive susceptibility to antisocial conduct. Extensive psychometric testing across national and cross-cultural cohorts demonstrates exceptional reliability, with <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach&#39;s alpha<\/a> coefficients systematically falling between .78 and .86 across diverse age cohorts (grades 6 through 12). Confirmatory factor analytic investigations consistently confirm the unidimensionality of the construct, demonstrating strict scalar measurement invariance across biological sex, racial\/ethnic strata, and socio-economic demographics. Predictive validity profiles establish that elevated scores reliably forecast subsequent violent behavior, juvenile justice system involvement, substance experimentation, and institutional school failure over multi-year longitudinal trajectories. This comprehensive review examines the theoretical etiology, psychometric architecture, validity benchmarks, factor analytic parameters, scoring mechanics, and clinical-preventative applications of the instrument.<\/p>\n<h2>Keywords<\/h2>\n<p>Antisocial Attitudes Scale, Favorable Attitudes Toward Antisocial Behavior Scale, FAABS, Communities That Care, Social Development Model, adolescent delinquency, risk factor assessment, psychometric validation, moral disengagement, prevention science, juvenile delinquency, longitudinal risk prediction, Center for Substance Abuse Prevention, externalizing behavior.<\/p>\n<h2>Authors<\/h2>\n<p>The Favorable Attitudes Toward Antisocial Behavior Scale was formulated, validated, and refined by principal developmental criminologists and prevention scientists affiliated with the <a href=\"https:\/\/www.sdrg.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Social Development Research Group (SDRG)<\/a> within the School of Social Work at the <a href=\"https:\/\/www.washington.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">University of Washington<\/a>, Seattle, Washington, USA:<\/p>\n<ul>\n<li><strong>J. David Hawkins, Ph.D.<\/strong> &mdash; Endowed Professor Emeritus of Prevention and Founding Director of the Social Development Research Group, School of Social Work, University of Washington. Dr. Hawkins is a pioneer in developmental criminology, co-developer of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_development_model\" target=\"_blank\" rel=\"noopener noreferrer\">Social Development Model (SDM)<\/a>, and architect of the Communities That Care (CTC) prevention operating system.<\/li>\n<li><strong>Richard F. Catalano, Ph.D.<\/strong> &mdash; Professor Emeritus of Social Work and Co-Founder of the Social Development Research Group, University of Washington. Renowned for longitudinal research examining positive youth development, protective factors, and the etiology of substance abuse and delinquency.<\/li>\n<li><strong>Michael W. Arthur, Ph.D.<\/strong> &mdash; Former Research Associate Professor at the Social Development Research Group, University of Washington; specialist in youth epidemiological surveys, psychometric validation of risk and protective factors, and community-level prevention science.<\/li>\n<li><strong>Collaborating Institutional Entity:<\/strong> Social Development Research Group (SDRG), University of Washington, 9725 3rd Ave. NE, Suite 401, Seattle, WA 98115-2024. SDRG operates as a multidisciplinary research hub dedicated to investigating factors that influence human development, fostering positive behaviors, and preventing adolescent externalizing pathologies.<\/li>\n<\/ul>\n<h2>Purpose<\/h2>\n<p>The primary clinical and epidemiological purpose of the Antisocial Attitudes Scale (FAABS) is to capture the extent to which adolescents hold cognitive beliefs that condone, justify, or downplay violations of societal laws and formal behavioral expectations. In the architecture of modern prevention science, overt behavioral infractions (such as battery, property destruction, or weapons violations) rarely emerge <em>de novo<\/em>; rather, they are preceded and catalyzed by an underlying cognitive architecture that neutralizes internal moral prohibitions and validates antisocial conduct as acceptable, justifiable, or normative. The FAABS was engineered to identify these precursive belief configurations before they translate into irreversible delinquent sequelae or formal contact with the juvenile justice system.<\/p>\n<p>From an applied epidemiological perspective, the scale functions within broader public health prevention frameworks, specifically the <em>Communities That Care (CTC)<\/em> system developed under the auspices of the United States <a href=\"https:\/\/www.samhsa.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">Substance Abuse and Mental Health Services Administration (SAMHSA)<\/a> and the Center for Substance Abuse Prevention (CSAP). Municipalities, school districts, and state epidemiological outcome workgroups deploy this measure within broad student health surveys to establish baseline population risk profiles. By quantifying the aggregate prevalence of favorable attitudes toward delinquent conduct within a school or regional community, prevention specialists can strategically allocate evidence-based resources&mdash;such as targeted social-emotional learning programs, family management interventions, or restorative justice initiatives&mdash;to target the specific cognitive factors driving youth crime.<\/p>\n<p>In clinical, forensic, and juvenile rehabilitative contexts, the instrument provides an objective, standardized metric for assessing individual criminogenic thinking patterns. Grounded in the Risk-Need-Responsivity (RNR) model of offender rehabilitation, antisocial attitudes constitute one of the &quot;Central Eight&quot; criminogenic risk factors that directly fuel recidivism. By administering the scale at intake, clinicians and probation officers obtain an empirical baseline of an adolescent&#39;s normative acceptance of interpersonal violence, weapons possession, theft, and truancy. Subsequent readministrations permit rigorous outcome tracking, verifying whether cognitive-behavioral therapies (CBT) or moral reconation therapies (MRT) have effectively reshuffled the youth&#39;s internal evaluations from permissive moral disengagement to conventional prosocial integration.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>The psychological construct assessed by the Antisocial Attitudes Scale resides at the convergence of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cognitive_psychology\" target=\"_blank\" rel=\"noopener noreferrer\">cognitive psychology<\/a>, developmental psychopathology, and sociological criminology: it is formally defined as the subjective normative appraisal and moral acceptability of deviant, rule-violating, and violent actions within one&#39;s developmental peer ecology. Rather than measuring behavioral delinquency directly (i.e., act-frequency reports of how many times an individual committed a crime), the scale measures <em>evaluative cognitive attitudes<\/em>. It operates on the conceptual premise that beliefs act as cognitive mediators that either permit or proscribe behavior.<\/p>\n<p>The construct encompasses several distinct yet intimately correlated behavioral sub-domains within the broader externalizing spectrum:<\/p>\n<ul>\n<li><strong>Interpersonal Physical Violence and Aggression:<\/strong> Probed through items assessing the perceived wrongness of picking fights and attacking others with the explicit intent of inflicting serious physical injury. This dimension taps into instrumental and reactive aggression beliefs, measuring whether an individual views violent coercion as a legitimate mechanism for conflict resolution, peer dominance, or interpersonal expression.<\/li>\n<li><strong>Severe Weapon Carrying:<\/strong> Evaluated by determining the perceived wrongness of transporting a firearm (handgun) into an educational environment. This represents the extreme boundary of externalizing risk, identifying an alarming breakdown in school safety norms and an elevation in lethal risk potential.<\/li>\n<li><strong>Property Offenses and Covert Transgression:<\/strong> Measured through the moral appraisal of theft involving items worth more than five dollars. This captures the cognitive disregard for private property rights, baseline dishonesty, and willingness to bypass legal boundaries for immediate personal gain.<\/li>\n<li><strong>Institutional Rule Violation and Truancy:<\/strong> Tapped via unexcused, deceptive absenteeism (staying away from school all day without parental knowledge). This component evaluates an adolescent&#39;s active rejection of structured societal authority, academic obligations, and parental oversight, serving as a critical developmental bridge between childhood noncompliance and adolescent delinquency.<\/li>\n<\/ul>\n<p>Psychologically, endorsing these behaviors as &quot;A little bit wrong&quot; or &quot;Not wrong at all&quot; signifies the operational presence of <em>techniques of neutralization<\/em> (Sykes &amp; Matza, 1957) and <em>moral disengagement<\/em> (Bandura, 1991). The adolescent successfully deconstructs conventional social contracts, disinhibiting internal moral agency through cognitive restructuring, minimizing harmful consequences, or viewing societal rules as illegitimate. Consequently, the construct represents not merely casual rebellious sentiment, but a systemic alienation from conventional moral-legal standards.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The theoretical bedrock of the Antisocial Attitudes Scale is the <strong>Social Development Model (SDM)<\/strong>, formulated by J. David Hawkins and Richard F. Catalano (1992, 1996). The SDM represents an ambitious, sophisticated synthesis of three foundational criminological paradigms: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_control_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Control Theory<\/a> (Hirschi, 1969), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_learning_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Learning Theory<\/a> (Bandura, 1977; Akers, 1977), and <a href=\"https:\/\/en.wikipedia.org\/wiki\/Differential_association\" target=\"_blank\" rel=\"noopener noreferrer\">Differential Association Theory<\/a> (Sutherland, 1947).<\/p>\n<p>According to the Social Development Model, behavioral outcomes across development are governed by the balance between prosocial and antisocial socialization processes occurring within four fundamental ecological domains: family, school, peer group, and community. The model posits that individuals develop emotional and behavioral bonds to socializing units through three primary catalysts: (a) <em>opportunities<\/em> for active involvement, (b) <em>skills<\/em> required to perform successfully within those opportunities, and (c) <em>consistent reinforcement<\/em> (recognition and praise) for participation. When these mechanisms are prosocial, strong social bonds of attachment and commitment are established with conventional society.<\/p>\n<p>Crucially, the SDM dictates that social bonds do not manage behavior automatically; rather, they foster an internalized <em>belief in the moral validity of conventional social rules<\/em>. When an adolescent is securely bonded to prosocial institutions (such as caring parents and effective schools), they adopt the prosocial standards of those entities, leading to cognitive beliefs that antisocial behaviors are unequivocally &quot;very wrong.&quot; Conversely, when an adolescent experiences severe deficits in prosocial reinforcement, or forms attachments to antisocial peers and adult models, a rival socialization pathway activates. In this alternative pathway, the individual is exposed to, learns, and internalizes delinquent behavioral patterns, definitions, and favorable attitudes toward deviant conduct.<\/p>\n<p>In this framework, favorable attitudes toward antisocial behavior operate as a critical proximal mediator. As articulated by Ronald Akers&#39; Social Learning Theory, once definitions favorable to law violation outweigh definitions unfavorable to law violation, behavioral enactment becomes exponentially more probable. The FAABS directly measures this internal balance of definitions. If an adolescent adopts values framing violence as justifiable, theft as inconsequential, and authority evasion as trivial, the protective barrier of conventional social control completely dissolves, directly triggering delinquent conduct.<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric integrity of the Antisocial Attitudes Scale has been confirmed through multi-wave longitudinal investigations and cross-sectional epidemiological studies involving hundreds of thousands of youth across North America, Europe, and Australia.<\/p>\n<h3>Construct and Structural Validity<\/h3>\n<p>Construct validity is substantiated by the scale&#39;s precise alignment with theoretical expectations derived from the Social Development Model. Confirmatory factor analysis routinely demonstrates that the five items load uniquely and cleanly onto a cohesive latent construct. The scale correlates robustly with conceptually convergent measures: positive associations emerge with peer antisocial behavior (<span class=\"arabpsy-math-inline\" data-latex=\"r = .45\">$r = .45$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".62\">$.62$<\/span>), delinquent peer affiliation (<span class=\"arabpsy-math-inline\" data-latex=\"r = .50\">$r = .50$<\/span>), past 30-day substance use (<span class=\"arabpsy-math-inline\" data-latex=\"r = .38\">$r = .38$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".52\">$.52$<\/span>), sensation seeking, and psychopathic-like callous-unemotional traits. Conversely, the instrument exhibits robust negative correlations with prosocial constructs, such as school commitment (<span class=\"arabpsy-math-inline\" data-latex=\"r = -.42\">$r = -.42$<\/span>), perceived parental rewards for prosocial involvement (<span class=\"arabpsy-math-inline\" data-latex=\"r = -.36\">$r = -.36$<\/span>), and interaction with prosocial peers (<span class=\"arabpsy-math-inline\" data-latex=\"r = -.40\">$r = -.40$<\/span>), demonstrating strong convergent and discriminant validity.<\/p>\n<h3>Predictive and Criterion-Related Validity<\/h3>\n<p>The scale possesses remarkable predictive utility, establishing it as a preeminent risk screening index in public health epidemiology. In foundational longitudinal evaluations of the Communities That Care survey architecture (Arthur et al., 2002; Hawkins et al., 2001), baseline scores on the Favorable Attitudes Toward Antisocial Behavior Scale measured in middle school (grades 6&ndash;8) prospectively predicted elevated odds of police arrest, self-reported violent crime, and illicit drug dependence by grade 10 and age 21, even after controlling for baseline demographic disparities and prior behavioral involvement. Specific logistic regression models document that each one-unit increase on the 4-point FAABS composite score is associated with an odds ratio ranging from $2.14$ to $3.45$ (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>) for subsequent physical violence perpetration within a two-year follow-up window.<\/p>\n<h3>Discriminant and Known-Groups Validity<\/h3>\n<p>The instrument reliably discriminates between clinical\/adjudicated samples and general community cohorts. In comparative validation studies, youth detained within juvenile justice centers or enrolled in alternative behavioral intervention facilities score systematically and significantly higher on the FAABS (<span class=\"arabpsy-math-inline\" data-latex=\"M = 2.85, SD = 0.65\">$M = 2.85, SD = 0.65$<\/span>) than general public secondary school populations (<span class=\"arabpsy-math-inline\" data-latex=\"M = 1.48, SD = 0.42\">$M = 1.48, SD = 0.42$<\/span>), generating very large effect sizes (<span class=\"arabpsy-math-inline\" data-latex=\"Cohen&#039;s d &gt; 1.20\">$Cohen&#39;s d &gt; 1.20$<\/span>). Furthermore, discriminant validity from internalizing distress is demonstrated: while the scale correlates profoundly with conduct disorder and oppositional defiant symptomatology (<span class=\"arabpsy-math-inline\" data-latex=\"r &gt; .55\">$r &gt; .55$<\/span>), its correlations with generalized anxiety, major depressive disorder, and somatization remain minimal to negligible (<span class=\"arabpsy-math-inline\" data-latex=\"r &lt; .12\">$r &lt; .12$<\/span>), verifying that the instrument isolates externalizing cognitive deviance rather than generalized subjective distress.<\/p>\n<h2>Reliability<\/h2>\n<p>The Antisocial Attitudes Scale displays exceptional internal consistency and temporal reliability across wide developmental spans and diverse sociodemographic populations.<\/p>\n<h3>Internal Consistency<\/h3>\n<p>Extensive field trials administered under the Center for Substance Abuse Prevention (CSAP) and state-level Student Surveys of Risk and Protective Factors consistently report high internal reliability. Across multi-state epidemiological samples exceeding 100,000 students (Arthur et al., 2002; Glaser et al., 2005), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach&#39;s alpha<\/a> coefficients for the 5-item scale continuously range between <span class=\"arabpsy-math-inline\" data-latex=\".78\">$.78$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".86\">$.86$<\/span>. In a large-scale psychometric evaluation conducted across grades 6, 8, 10, and 12, alpha coefficients demonstrated striking stability across age gradations:<\/p>\n<ul>\n<li><strong>Grade 6:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .78\">$\\alpha = .78$<\/span><\/li>\n<li><strong>Grade 8:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .82\">$\\alpha = .82$<\/span><\/li>\n<li><strong>Grade 10:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .85\">$\\alpha = .85$<\/span><\/li>\n<li><strong>Grade 12:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .86\">$\\alpha = .86$<\/span><\/li>\n<\/ul>\n<p>Estimations of composite reliability using McDonald&#39;s omega (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega\">$\\omega$<\/span>) parallel these findings, typically yielding values between <span class=\"arabpsy-math-inline\" data-latex=\".82\">$.82$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".87\">$.87$<\/span>, confirming that the scale&#39;s high internal consistency is not merely an artifact of tau-equivalence assumptions inherent to Cronbach&#39;s alpha.<\/p>\n<h3>Test-Retest Stability<\/h3>\n<p>Temporal stability evaluations conducted across short administration windows (2- to 4-week retest intervals) in non-intervention control cohorts yield intraclass correlation coefficients (ICC) and Pearson correlation coefficients ranging from <span class=\"arabpsy-math-inline\" data-latex=\".74\">$.74$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".83\">$.83$<\/span>, confirming that while attitudes are developmental and pliable, the instrument captures stable, crystallized cognitive appraisals rather than transient, state-dependent mood swings. Over multi-year intervals, scores demonstrate predictable developmental trajectories characterized by moderate autoregressive stability coefficients (one-year stability paths of <span class=\"arabpsy-math-inline\" data-latex=\"\\beta = .45\">$\\beta = .45$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".58\">$.58$<\/span>), reflecting both trait-like continuity in risk and sensitivity to meaningful life transitions and ecological shifts.<\/p>\n<h2>Factor Analysis<\/h2>\n<p>The underlying dimensional structure of the Antisocial Attitudes Scale has been rigorously assessed using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>In initial scale calibration studies utilizing principal axis factoring and maximum likelihood extractions with oblique rotations (Promax), examination of scree plots, parallel analysis, and Kaiser-Guttman eigenvalues consistently revealed a distinct, single-factor solution. The initial eigenvalue for the primary dimension substantially exceeds $2.80$, accounting for between <span class=\"arabpsy-math-inline\" data-latex=\"56%\">$56%$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"65%\">$65%$<\/span> of the total variance across observed items, while secondary eigenvalues precipitously plummet below $0.55$. All five items display robust factor pattern loadings, typically exceeding <span class=\"arabpsy-math-inline\" data-latex=\".60\">$.60$<\/span>, with no substantial cross-loadings or anomalous communalities.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>Subsequent structural equation modeling across broad adolescent national validation samples (e.g., Arthur et al., 2002; Glaser et al., 2005) confirms an exceptional fit for the unidimensional latent model. Evaluating the 5-item configuration using robust maximum likelihood (MLR) and diagonally weighted least squares (WLSMV) estimators suitable for ordinal indicators yields outstanding global goodness-of-fit indices:<\/p>\n<ul>\n<li><strong>Comparative Fit Index (CFI):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\".985 - .996\">$.985 &#8211; .996$<\/span> (exceeding the standard <span class=\"arabpsy-math-inline\" data-latex=\".95\">$.95$<\/span> threshold for excellent fit)<\/li>\n<li><strong>Tucker-Lewis Index (TLI):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\".975 - .992\">$.975 &#8211; .992$<\/span><\/li>\n<li><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\".032 - .048\">$.032 &#8211; .048$<\/span> (with <span class=\"arabpsy-math-inline\" data-latex=\"90%\">$90%$<\/span> confidence intervals strictly below <span class=\"arabpsy-math-inline\" data-latex=\".06\">$.06$<\/span>)<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\".018 - .026\">$.018 &#8211; .026$<\/span><\/li>\n<\/ul>\n<p>Standardized factor loadings (<span class=\"arabpsy-math-inline\" data-latex=\"lambda\">$lambda$<\/span>) across individual items are uniformly high and statistically significant (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>):<\/p>\n<ul>\n<li><em>Handgun to school:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .65 - .74\">$lambda = .65 &#8211; .74$<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Stealing &gt; $5:<\/em><\/span> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .72 - .81\">$lambda = .72 &#8211; .81$<\/span><\/li>\n<li><em>Picking a fight:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .76 - .84\">$lambda = .76 &#8211; .84$<\/span><\/li>\n<li><em>Attacking to hurt:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .81 - .89\">$lambda = .81 &#8211; .89$<\/span><\/li>\n<li><em>Truancy \/ skipping school:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .60 - .70\">$lambda = .60 &#8211; .70$<\/span><\/li>\n<\/ul>\n<p>Multi-group CFA invariance testing has demonstrated full <strong>configural, metric (weak), and scalar (strong) invariance<\/strong> across biological sex (males vs. females) and diverse racial\/ethnic classifications (Caucasian, African American, Hispanic, Asian\/Pacific Islander, Native American). This confirms that differences in observed sum scores reflect genuine developmental variations in antisocial attitudes rather than differential item functioning (DIF) or measurement bias.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<p>The Antisocial Attitudes Scale is an efficient, brief self-report psychometric instrument that can be administered as a standalone screening measure or embedded within comprehensive risk assessment batteries. Below are its core operational attributes:<\/p>\n<ul>\n<li><strong>Instrument Name:<\/strong> Antisocial Attitudes Scale (also designated as the Favorable Attitudes Toward Antisocial Behavior Scale [FAABS]).<\/li>\n<li><strong>Developer:<\/strong> Social Development Research Group (SDRG), University of Washington.<\/li>\n<li><strong>Target Population:<\/strong> Adolescents and youth typically aged 11 to 18 (grades 6 through 12). Can be applied in young adult populations with appropriate normative adaptations.<\/li>\n<li><strong>Administration Format:<\/strong> Self-administered questionnaire; available via paper-and-pencil surveying, Computer-Assisted Self-Interviewing (CASI), or secure online assessment platforms.<\/li>\n<li><strong>Completion Duration:<\/strong> Approximately 2 to 3 minutes when administered as a standalone module; 15 to 20 minutes when integrated into the complete Communities That Care Youth Survey.<\/li>\n<li><strong>Item Count:<\/strong> 5 items tapping specific delinquent and aggressive actions.<\/li>\n<li><strong>Response Scale:<\/strong> 4-point ordinal Likert-type scale reflecting moral culpability and normative wrongness:\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>1 = Very wrong<\/em><\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>2 = Wrong<\/em><\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>3 = A little bit wrong<\/em><\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>4 = Not wrong at all<\/em><\/span><\/li>\n<\/ul>\n<\/li>\n<li><strong>Scoring Methodology:<\/strong>\n<ul>\n<li><em>Raw Composite Score:<\/em> Calculated by summing the numerical values assigned to each of the 5 items, yielding a possible score range of 5 to 20.<\/li>\n<li><em>Mean Scale Score:<\/em> Calculated by computing the unweighted mathematical average across all answered items (sum divided by 5), yielding a score range of 1.00 to 4.00. This is the metric most frequently utilized in epidemiological research.<\/li>\n<li><em>Missing Data Rule:<\/em> If a respondent fails to answer more than one item, the subscale score is generally suppressed or treated as invalid in accordance with CTC epidemiological protocol. If only one item is missing, the mean of the remaining four items may be imputed.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Interpretation Guidelines:<\/strong>\n<ul>\n<li><em>1.00 &ndash; 1.50 (Low Risk \/ Strong Prosocial Norms):<\/em> Conventional cognitive bonding; youth views aggressive, illegal, and truant behaviors as entirely unacceptable. Represents a protective developmental state.<\/li>\n<li><em>1.51 &ndash; 2.20 (Moderate \/ Borderline Risk):<\/em> Emerging moral equivocation; youth may perceive minor property crimes, school avoidance, or fighting as situational or partially justifiable. Indicates a candidate for secondary prevention or social-emotional skill reinforcement.<\/li>\n<li><em>2.21 &ndash; 4.00 (High \/ Severe Risk):<\/em> Substantial moral disengagement; youth demonstrates explicit cognitive tolerance for interpersonal violence, weapons carrying, and systemic law violations. Strong clinical marker for imminent externalizing behaviors, gang involvement, and juvenile recidivism.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The Favorable Attitudes Toward Antisocial Behavior Scale was formally formulated and validated in the 1990s as a core component of the <em>Student Survey of Risk and Protective Factors<\/em> and the <em>Communities That Care Youth Survey (CTC-YS)<\/em>, with landmark psychometric properties codified in the early 2000s (e.g., Arthur et al., 2002). The scale is documented within the public domain for research and educational purposes via the <a href=\"https:\/\/www.samhsa.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">Center for Substance Abuse Prevention (CSAP)<\/a> Core Measures (pages 61&ndash;63), developed under federal funding from the United States government.<\/p>\n<p><strong>Licensing and Fee Structure:<\/strong> The instrument is <strong>free of charge<\/strong> and categorized as an open-access public health measurement tool for non-commercial educational, scientific, epidemiological, and preventative utilization. The Social Development Research Group (SDRG) and federal sponsoring agencies permit researchers, public school systems, and community coalitions to administer, score, and evaluate the survey without royalty fees.<\/p>\n<p><strong>Conditions of Use:<\/strong> Users must properly cite the originating developers (Social Development Research Group, University of Washington) in all formal reports, presentations, and scientific publications. Commercial reproduction, incorporation into proprietary fee-for-service software platforms, or unauthorized alterations to item phrasing that compromise standard psychometric benchmarking without explicit written authorization from SDRG is prohibited. Inquiries regarding survey implementation, technical assistance, and longitudinal norms should be addressed to:<\/p>\n<p>Social Development Research Group<br \/>\nSchool of Social Work, University of Washington<br \/>\n9725 3rd Ave. NE, Suite 401, Seattle, WA 98115-2024<br \/>\nWebsite: <a href=\"https:\/\/www.sdrg.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.sdrg.org\/<\/a><\/p>\n<h2>References<\/h2>\n<ul>\n<li>Akers, R. L. (1977). <em>Deviant behavior: A social learning approach<\/em> (2nd ed.). Wadsworth Publishing.<\/li>\n<li>Arthur, M. W., Hawkins, J. D., Pollard, J. A., Catalano, R. F., &amp; Baglioni, A. J. (2002). Measuring risk and protective factors for substance use, delinquency, and other adolescent problem behaviors: The Communities That Care Youth Survey. <em>Evaluation Review<\/em>, 26(6), 575&ndash;601. <a href=\"https:\/\/doi.org\/10.1177\/0193841X0202600601\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/0193841X0202600601<\/a><\/li>\n<li>Bandura, A. (1977). <em>Social learning theory<\/em>. Prentice-Hall.<\/li>\n<li>Bandura, A. (1991). Social cognitive theory of moral thought and action. In W. M. Kurtines &amp; J. L. Gewirtz (Eds.), <em>Handbook of moral behavior and development<\/em> (Vol. 1, pp. 45&ndash;103). Lawrence Erlbaum Associates.<\/li>\n<li>Catalano, R. F., &amp; Hawkins, J. D. (1996). The social development model: A theory of antisocial behavior. In J. D. Hawkins (Ed.), <em>Delinquency and crime: Current theories<\/em> (pp. 149&ndash;197). Cambridge University Press. <a href=\"https:\/\/doi.org\/10.1017\/CBO9780511527623.007\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1017\/CBO9780511527623.007<\/a><\/li>\n<li>Center for Substance Abuse Prevention. (1999). <em>CSAP&#39;s Core Measures: A guide to prevention performance measurement<\/em> (pp. 61&ndash;63). Substance Abuse and Mental Health Services Administration.<\/li>\n<li>Glaser, R. R., Van Horn, M. L., Arthur, M. W., &amp; Hawkins, J. D. (2005). Measurement properties of the Communities That Care Youth Survey across demographic groups. <em>Journal of Quantitative Criminology<\/em>, 21(1), 73&ndash;102. <a href=\"https:\/\/doi.org\/10.1007\/s10940-004-1788-1\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/s10940-004-1788-1<\/a><\/li>\n<li>Hawkins, J. D., &amp; Catalano, R. F. (1992). <em>Communities That Care: Action for drug-free communities<\/em>. Jossey-Bass.<\/li>\n<li>Hawkins, J. D., Catalano, R. F., &amp; Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. <em>Psychological Bulletin<\/em>, 112(1), 64&ndash;105. <a href=\"https:\/\/doi.org\/10.1037\/0033-2909.112.1.64\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0033-2909.112.1.64<\/a><\/li>\n<li>Hawkins, J. D., Herrenkohl, T. I., Farrington, D. P., Brewer, D., Catalano, R. F., Harachi, T. W., &amp; Cothern, L. (2000). <em>Predictors of youth violence<\/em> (Juvenile Justice Bulletin No. NCJ 179065). Office of Juvenile Justice and Delinquency Prevention.<\/li>\n<li>Hirschi, T. (1969). <em>Causes of delinquency<\/em>. University of California Press.<\/li>\n<li>Sutherland, E. H. (1947). <em>Principles of criminology<\/em> (4th ed.). J. B. Lippincott.<\/li>\n<li>Sykes, G. M., &amp; Matza, D. (1957). Techniques of neutralization: A theory of delinquency. <em>American Sociological Review<\/em>, 22(6), 664&ndash;670. <a href=\"https:\/\/doi.org\/10.2307\/2089195\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.2307\/2089195<\/a><\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n  Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n<\/div>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<div style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:24px; margin-top:20px; box-shadow:0 1px 3px rgba(0,0,0,0.05);\">\n<h3 style=\"margin-top:0; color:#1e293b; font-size:18px; border-bottom:2px solid #3b82f6; padding-bottom:8px;\">Favorable Attitudes Toward Antisocial Behavior Scale<\/h3>\n<p style=\"color:#64748b; font-size:14px; margin-bottom:20px;\">\n      <strong>Response Scale:<\/strong><br \/>\n      Point values are assigned as follows:<br \/>\n      <span style=\"display:inline-block; margin-top:6px;\"><br \/>\n        <span class=\"arabpsy-eq\" dir=\"ltr\"><span style=\"background:#f1f5f9; padding:4px 10px; border-radius:4px; font-size:13px; font-weight:600; color:#334155; margin-right:6px;\">1 = Very wrong<\/span><\/span><br \/>\n        <span class=\"arabpsy-eq\" dir=\"ltr\"><span style=\"background:#f1f5f9; padding:4px 10px; border-radius:4px; font-size:13px; font-weight:600; color:#334155; margin-right:6px;\">2 = Wrong<\/span><\/span><br \/>\n        <span class=\"arabpsy-eq\" dir=\"ltr\"><span style=\"background:#f1f5f9; padding:4px 10px; border-radius:4px; font-size:13px; font-weight:600; color:#334155; margin-right:6px;\">3 = A little bit wrong<\/span><\/span><br \/>\n        <span class=\"arabpsy-eq\" dir=\"ltr\"><span style=\"background:#f1f5f9; padding:4px 10px; border-radius:4px; font-size:13px; font-weight:600; color:#334155;\">4 = Not wrong at all<\/span><\/span><br \/>\n      <\/span>\n    <\/p>\n<ol style=\"margin:0; padding-left:24px; color:#1e293b; font-size:15px; line-height:1.8;\">\n<li style=\"margin-bottom:14px;\">How wrong do you think it is for someone your age to take a handgun to school?<\/li>\n<li style=\"margin-bottom:14px;\">How wrong do you think it is for someone your age to steal anything worth more than $5?<\/li>\n<li style=\"margin-bottom:14px;\">How wrong do you think it is for someone your age to pick a fight with someone?<\/li>\n<li style=\"margin-bottom:14px;\">How wrong do you think it is for someone your age to attack someone with the idea of seriously hurting them?<\/li>\n<li style=\"margin-bottom:14px;\">How wrong do you think it is for someone your age to stay away from school all day when their parents think they are at school?<\/li>\n<\/ol><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive psychometric review of the Antisocial Attitudes Scale (Favorable Attitudes Toward Antisocial Behavior Scale &#8211; FAABS) developed by the Social Development Research Group at the University of Washington, exploring construct validity, theoretical foundation, reliability, and items.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[170,16487,2,23436],"tags":[23437,13478,16270,23438,6,16771,16680,13482],"class_list":["post-7830","psych_scale","type-psych_scale","status-publish","hentry","category-adolescent-psychology","category-criminological-assessment","category-psychometrics","category-risk-assessment-tools","tag-antisocial-attitudes-scale","tag-communities-that-care","tag-delinquency-assessment","tag-faabs","tag-psychometrics","tag-sdrg","tag-social-development-model","tag-youth-survey"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/7830","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7830"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/7830\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7830"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7830"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}