Child and Adolescent Disruptive Behaviour Inventory (CADBI)

Abstract

The Child and Adolescent Disruptive Behaviour Inventory (CADBI) is an empirically validated, informant-report psychometric instrument designed to screen, assess, and monitor externalizing behavior problems in children and adolescents aged 3 to 18 years. Developed by G. Leonard Burns, Julie C. Rusby, and colleagues, the CADBI operationalizes the diagnostic criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV / DSM-5) for externalizing spectrum disorders without the prohibitive licensing fees and administrative burdens associated with omnibus behavioral rating systems. Comprising 25 concise behavioral items across both parent and teacher forms, the instrument assesses three core symptom dimensions: Attention-Deficit/Hyperactivity Disorder – Inattention (ADHD-IN; 9 items), Attention-Deficit/Hyperactivity Disorder – Hyperactivity/Impulsivity (ADHD-HI; 8 items), and Oppositional Defiant Disorder (ODD; 8 items). Each item is evaluated along an authentic 6-point behavioral frequency scale ranging from 1 (“Never / Rarely in the past month”) to 6 (“Almost Always”).

Extensive psychometric investigations have established that the CADBI possesses exceptional measurement properties across clinical and school-based cohorts. Confirmatory factor analyses consistently substantiate a three-factor oblique structural architecture that cleanly separates inattentive, hyperactive-impulsive, and oppositional defiant symptomatology. The instrument demonstrates superior internal consistency (Cronbach’s α coefficients ranging from .91 to .97 across subscales) and robust 3-month test-retest reliability ($r = .86$ to $.94$). Criterion and predictive validity studies show substantial correspondence with independent, direct classroom behavioral observations ($r = .64$ to $.69$) and established broad-band instruments such as the Child Behavior Checklist (CBCL). The CADBI represents an open-access, psychometrically robust measurement tool that facilitates routine developmental screening, multi-informant assessment, epidemiological research, and longitudinal outcome tracking in pediatric mental health settings.

Keywords

Child and Adolescent Disruptive Behaviour Inventory, CADBI, disruptive behavior disorders, Attention-Deficit/Hyperactivity Disorder, ADHD, Oppositional Defiant Disorder, ODD, behavioral assessment, psychometrics, parent rating scale, teacher rating scale, child psychopathology

Authors

The CADBI was developed through collaborative psychometric and clinical research led by developmental and clinical psychologists specializing in childhood externalizing disorders:

• G. Leonard Burns, Ph.D. — Department of Psychology, Washington State University, Pullman, Washington, USA. Dr. Burns has served as the principal investigator on numerous domestic and cross-national psychometric studies investigating the structural validity, measurement invariance, and longitudinal trajectory of ADHD and ODD dimensions across multi-informant assessment matrices.
• Julie C. Rusby, Ph.D. — Oregon Research Institute, Eugene, Oregon, USA (formerly associated with Washington State University). Dr. Rusby’s research focuses on child social development, aggressive behavior patterns, peer interactions, and the evaluation of family- and school-based prevention interventions.
• T. K. Taylor, Ph.D. — Washington State University, Pullman, Washington, USA. Contributor to early instrument conceptualization, psychometric validation, and family interaction coding paradigms.

Cross-cultural and structural extensions of the CADBI have further involved distinguished psychometricians and clinical researchers, including Rapson Gomez, Ph.D. (Federation University Australia), James A. Walsh, Ph.D. (University of Montana), and other international collaborators.

Purpose

Disruptive behavior disorders in pediatric populations constitute the most frequent catalyst for referrals to outpatient child mental health clinics, school psychological services, and special education evaluations. These manifestations encompass developmentally inappropriate levels of inattention, hyperactivity, impulsivity, emotional dysregulation, defiance, and argumentative conduct. While diagnostic frameworks such as the DSM-IV, DSM-5, and ICD-11 delineate explicit behavioral criteria for disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD) and Oppositional Defiant Disorder (ODD), clinical practitioners and developmental researchers frequently face practical barriers when selecting assessment tools. Commercial broad-band scales (e.g., the Child Behavior Checklist or the Behavior Assessment System for Children) are costly, copyright-restricted, and length-intensive, often containing over 100 items that elevate respondent burden and cause survey attrition. Conversely, very brief screening scales often sacrifice psychometric nuance, collapse distinct symptom dimensions into single composite indices, or alter official diagnostic criteria.

The CADBI was explicitly engineered to address these methodological dilemmas. Its primary purposes include:

• Standardized Diagnostic Mapping: Directly operationalizing the symptom criteria of the DSM-IV and DSM-5 for ADHD (both Inattentive and Hyperactive-Impulsive presentations) and ODD, thereby bridging formal psychiatric diagnostic nomenclature with standardized, quantitative psychometric scoring.
• Multi-Informant Assessment Across Contexts: Providing parallel parent and teacher rating versions to facilitate cross-informant concordance analyses. Because externalizing symptoms vary across home, school, and recreational settings, parallel CADBI forms allow clinicians to isolate context-specific environmental triggers and verify whether pervasive impairment is present across multiple functional domains.
• Efficient, Low-Burden Clinical Screening: Providing a 25-item profile that can be completed within 5 to 10 minutes, maximizing parent and educator compliance in high-volume community clinics, primary care pediatric practices, and public school multidisciplinary team meetings.
• Dimensional Symptom Tracking and Treatment Outcome Monitoring: Enabling fine-grained longitudinal measurement of therapeutic progress. By assessing frequency on an expanded 6-point scale, the CADBI detects subtle changes following pharmacological interventions (e.g., central nervous system stimulants), parent management training (PMT), behavioral classroom management, or school-wide positive behavioral interventions.
• Cross-Cultural and Epidemiological Research: Offering an accessible, public-domain measurement tool suitable for large-scale field studies, longitudinal cohort tracking, and cross-national structural equivalence testing without financial barriers.

Psychological Construct

The CADBI measures externalizing childhood psychopathology organized into three distinct yet interrelated psychological and behavioral constructs. Rather than viewing disruptive behavior as a homogenous entity, the CADBI operationalizes it as a tripartite dimensional architecture encompassing attention deficits, hyperkinetic-impulsive behaviors, and defiant-oppositional patterns.

1. ADHD — Inattention (ADHD-IN)

The Inattention dimension reflects neurodevelopmental deficits in executive functioning, working memory, and sustained vigilance. Inattentive behavior in children is characterized by an inability to mobilize and maintain cognitive focus during structured, repetitive, or non-intrinsically rewarding tasks. On the CADBI, this construct is tapped by 9 items describing failures to attend to operational details, careless errors in scholastic assignments, apparent listening failures when spoken to directly, disorganization, chronic task avoidance, forgetfulness in everyday routines, and susceptibility to environmental distraction. For example, items assess whether a child avoids tasks requiring sustained mental effort or routinely misplaces essential materials. In academic and home environments, high scores on this dimension manifest as disorganized workspaces, unfinished homework, cognitive sluggishness, and poor self-regulation during independent activities.

2. ADHD — Hyperactivity/Impulsivity (ADHD-HI)

The Hyperactivity/Impulsivity construct captures behavioral disinhibition, motor restlessness, and an impaired capacity to delay immediate gratification or inhibit prepotent behavioral responses. The 8 items evaluating this construct assess gross motor restlessness (e.g., squirming, leaving one’s seat when remaining seated is expected, inappropriate running or climbing), vocal disinhibition (e.g., excessive talking, blurting out answers prematurely), and impaired social-behavioral pacing (e.g., intrusive behaviors, inability to wait one’s turn). Children scoring high on ADHD-HI display what Russell Barkley conceptualized as a deficit in behavioral inhibition, acting as if “driven by a motor” and exhibiting physical restlessness that disrupts classroom instruction and peer leisure activities.

3. Oppositional Defiant Disorder (ODD)

The Oppositional Defiant Disorder construct taps an enduring pattern of angry/irritable mood, argumentative/defiant behavior, and vindictiveness directed toward authority figures and peers. Comprising 8 items, this subscale captures emotional dysregulation (losing temper, becoming easily touchy or annoyed, displaying chronic resentment) alongside overt interpersonal resistance (actively defying rules, arguing with adults, deliberately annoying others, blaming external parties for personal misconduct, vindictiveness). Unlike the motoric-executive dysregulation characteristic of ADHD, ODD reflects motivational, affective, and relational defiance. On the CADBI, this construct captures both the affective (“angry/irritable”) and behavioral (“argumentative/defiant”) components that predict escalation into conduct problems, relational conflict, and depressive symptoms.

Theoretical Framework

The development of the CADBI is grounded in three converging theoretical perspectives: psychiatric nosology, developmental psychopathology, and the social interactional coercion model.

Psychiatric Diagnostic Nosology

The primary structural baseline of the CADBI originates from the categorical operationalizations introduced in the American Psychiatric Association’s DSM-IV and maintained in DSM-5. Early disruptive behavior scales frequently conflated oppositional conduct with motoric restlessness, leading to blurred diagnostic boundaries. Burns and colleagues established the CADBI to evaluate whether the eighteen DSM-IV ADHD symptoms and eight ODD symptoms represent functionally and statistically distinct behavioral dimensions. The CADBI removed ambiguous qualifiers such as “often” from the symptom stems and shifted behavioral frequency evaluation to an explicit, continuous Likert-type scale, thereby transmuting categorical psychiatric criteria into continuous dimensional constructs that can be subjected to rigorous latent variable modeling.

Executive Functioning and Behavioral Inhibition Theory

The differentiation between ADHD-IN and ADHD-HI on the CADBI is anchored in Russell Barkley’s unified model of behavioral inhibition and executive functioning. Barkley posited that hyperactive and impulsive behaviors reflect an underlying breakdown in behavioral inhibition (the ability to withhold a prepotent response, interrupt an ongoing response, and exercise interference control). In contrast, inattentive symptoms, particularly in the absence of severe hyperactivity, frequently reflect distinct deficits in working memory, information processing speed, and sustained vigilance. By partitioning ADHD items into two discrete subscales, the CADBI respects the dual-pathway neuropsychological theories of ADHD, allowing researchers to explore differential cognitive, neurobiological, and pharmacological profiles associated with each presentation.

Coercive Family Process and Social Interactional Models

The inclusion of an independent ODD dimension is theoretically underpinned by Gerald Patterson’s social interactional coercion model developed at the Oregon Social Learning Center. Patterson demonstrated that oppositional and aggressive behaviors are acquired, maintained, and amplified through reciprocal coercive training sequences within interpersonal relationships. When a parent or educator issues a demand, a child may escalate hostility or temper tantrums to force the adult to withdraw the directive, negatively reinforcing the child’s oppositional defiance. The CADBI items capture these interpersonal transactions (arguing with adults, refusing compliance, deliberately annoying others, externalizing blame), providing an empirical measure of the coercive behaviors that drive parent-child and teacher-student relational strain.

Validity

Extensive psychometric investigations conducted in diverse clinical, educational, and cross-national populations substantiate the construct, predictive, convergent, and discriminant validity of the CADBI.

Construct and Structural Validity

Structural validity has been rigorously evaluated via exploratory and confirmatory factor analyses. In foundational validation investigations, Burns, Walsh, and colleagues (2001, 2002) administered the CADBI to large cohorts of elementary and middle school students. Confirmatory factor analysis (CFA) evaluated whether externalizing behaviors were best represented as a unidimensional disruptive construct, a two-factor model (ADHD vs. ODD), or a three-factor model (ADHD-IN, ADHD-HI, and ODD). Across both parent and teacher cohorts, the three-factor model yielded superior goodness-of-fit indices (CFI > .95, TLI > .94, RMSEA < .06) compared to alternative collapsed models. The latent correlations between ADHD-IN and ADHD-HI typically range between .60 and .75, while the latent correlations between ADHD-HI and ODD range between .50 and .68, demonstrating substantial shared variance indicative of an overarching externalizing spectrum while maintaining sufficient uniqueness to warrant discrete dimensional scores.

Convergent and Discriminant Validity

The convergent validity of the CADBI has been corroborated through multi-method, multi-source assessment frameworks. Subscale scores show robust correlations ($r = .70$ to $.85$) with corresponding dimensions of established parent- and teacher-report rating inventories, including the Conners’ Rating Scales, the Vanderbilt ADHD Diagnostic Rating Scale, and the Disruptive Behavior Rating Scale (DBRS). Discriminant validity is supported by modest to low correlations with internalizing symptom dimensions, such as somatic complaints, generalized anxiety, and depressive withdrawal on the CBCL ($r = .15$ to $.32$), demonstrating that the CADBI selectively isolates externalizing conduct problems.

Predictive and Criterion Validity

A notable psychometric strength of the CADBI is its direct predictive alignment with objective, naturalistic classroom observations. Burns and Walsh (2002) demonstrated that teacher CADBI ratings on the Inattention, Hyperactivity/Impulsivity, and Oppositional Defiant dimensions accurately predicted blind, independent classroom observer codings of off-task behavior, motor restlessness, and verbal aggression, with predictive validity coefficients ranging from $r = .64$ to $r = .69$ ($p < .001$). Furthermore, longitudinal tracking indicated that baseline teacher-rated ADHD-HI and ODD scores reliably predicted disciplinary infractions, academic underachievement, and peer sociometric rejection across a two-year developmental window.

Cross-Cultural Generalizability

The cross-cultural construct validity of the CADBI was evaluated by Gomez, Burns, Walsh, and Hafetz (2005) in an investigation examining 1,475 Australian children ($M_{\text{age}} = 8.28$ years) alongside comparative cohorts in Malaysia. Applying a multitrait-multisource confirmatory factor analytic approach, the authors verified full metric and partial scalar measurement invariance across parent and teacher informants across diverse cultural contexts, confirming that CADBI items possess equivalent psychological meaning, factor loadings, and diagnostic utility internationally.

Reliability

The CADBI exhibits high empirical reliability across multiple operational indices, including internal consistency, item-total homogeneity, and test-retest temporal stability.

Internal Consistency

Reliability estimates computed via Cronbach’s alpha (α) and McDonald’s omega (ω) consistently exceed standard psychometric benchmarks across both parent and teacher versions:

• ADHD — Inattention (9 items): Parent ratings: α = .92 – .96; Teacher ratings: α = .94 – .97.
• ADHD — Hyperactivity/Impulsivity (8 items): Parent ratings: α = .91 – .95; Teacher ratings: α = .93 – .96.
• Oppositional Defiant Disorder (8 items): Parent ratings: α = .91 – .95; Teacher ratings: α = .92 – .96.
• Total Disruptive Behavior Composite (25 items): Cronbach’s α values consistently exceed .96 across clinical and non-clinical samples.

Corrected item-total correlations across all 25 items range between .62 and .84, with no individual item deletion resulting in an increase in subscale reliability, demonstrating high structural cohesion.

Test-Retest Reliability and Temporal Stability

The temporal stability of the CADBI has been verified across both brief (2- to 4-week) and extended (3-month) test-retest intervals. In longitudinal evaluations conducted by Burns and Walsh (2002), parent ratings assessed across a 3-month interval demonstrated high stability coefficients:

• Inattention Subscale: $r = .88$ ($p < .001$)
• Hyperactivity/Impulsivity Subscale: $r = .86$ ($p < .001$)
• Oppositional Defiant Disorder Subscale: $r = .94$ ($p < .001$)

Similarly high coefficients were observed for teacher ratings across academic quarters ($r = .82$ to $.91$), confirming that while the CADBI is sensitive to behavioral changes resulting from targeted interventions, it demonstrates high baseline trait stability in the absence of treatment.

Factor Analysis

The latent factorial architecture of the CADBI has been investigated across multiple large-scale developmental samples using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Multitrait-Multimethod (MTMM) modeling.

Exploratory Factor Analyses (EFA)

Initial principal axis factoring with oblique (Promax and Oblimin) rotations conducted on parent and teacher ratings of children aged 3 to 18 revealed a three-factor solution based on Kaiser’s eigenvalue-greater-than-one criterion and Cattell’s scree plot analysis. The three extracted factors accounted for over 68% of the total behavioral variance:

• Factor 1 (Inattention): Items 1 through 9 loaded cleanly onto Factor 1 (standardized loadings ranging from .68 to .89), with cross-loadings onto hyperactive or oppositional factors remaining negligible (< .20).
• Factor 2 (Hyperactivity/Impulsivity): Items 10 through 17 demonstrated high, salient loadings on Factor 2 (loadings ranging from .65 to .88), with minimal cross-loading onto inattention.
• Factor 3 (Oppositional Defiance): Items 18 through 25 loaded robustly onto Factor 3 (loadings ranging from .70 to .91), demonstrating clear factor separation from the neurodevelopmental ADHD items.

Confirmatory Factor Analyses (CFA)

Burns, Boe, Walsh, Sommers-Flanagan, and Teegarden (2001) conducted rigorous CFA comparisons of competing structural models. They compared three distinct models:

1. One-Factor Unidimensional Model: All 25 items loading onto a single general “Disruptive Behavior” latent factor.
2. Two-Factor Model: A combined ADHD latent factor (17 items) and an ODD latent factor (8 items).
3. Three-Factor Correlated Model: Discrete latent factors for ADHD-IN (9 items), ADHD-HI (8 items), and ODD (8 items).

The empirical findings revealed that the One-Factor model demonstrated poor fit to the data ($\chi^2 / df > 6.5$, $\text{CFI} < .80$, $\text{RMSEA} > .11$). While the Two-Factor model improved fit ($\chi^2 / df = 3.8$, $\text{CFI} = .89$, $\text{RMSEA} = .082$), the Three-Factor correlated model provided the best fit to the data across both parent and teacher ratings:

• $\chi^2 / df = 1.94$
• Comparative Fit Index (CFI) = .972
• Tucker-Lewis Index (TLI) = .968
• Root Mean Square Error of Approximation (RMSEA) = .044 (90% CI [.038, .051])
• Standardized Root Mean Square Residual (SRMR) = .039

Multitrait-Multimethod (MTMM) / Bifactor Modeling

Gomez et al. (2005) applied advanced MTMM CFA architectures to evaluate parent-teacher cross-informant data. This analysis demonstrated that although substantial informant-specific variance exists (reflecting context-dependent behavior at home versus in the classroom), trait variance accounted for the majority of item variance. Bifactor CFA models have also substantiated a strong general externalizing factor alongside distinct, reliable group factors for Inattention, Hyperactivity/Impulsivity, and Oppositional Defiance, validating both total composite scoring and profile-based subscale interpretation.

Instrument / Measurement Tool

The CADBI is formatted as a structured, informant-rated behavioral inventory. Below are the structural specifications of the measure:

• Instrument Name: Child and Adolescent Disruptive Behaviour Inventory (CADBI)
• Alternative Designations: CADBI Parent Version; CADBI Teacher Version
• Primary Developer: G. Leonard Burns, Ph.D., with Julie C. Rusby, Ph.D., and T. K. Taylor, Ph.D.
• Administration Format: Paper-and-pencil questionnaire or secure digital electronic survey
• Target Population: Children and adolescents aged 3 to 18 years
• Informant Respondents: Primary caregivers (mothers, fathers, legal guardians) and educators (classroom teachers, resource specialists)
• Completion Time: Approximately 5 to 10 minutes
• Total Item Count: 25 items
• Subscale Breakdown:
  • Attention-Deficit/Hyperactivity Disorder — Inattention (ADHD-IN): 9 items (Items 1 through 9)
  • Attention-Deficit/Hyperactivity Disorder — Hyperactivity/Impulsivity (ADHD-HI): 8 items (Items 10 through 17)
  • Oppositional Defiant Disorder (ODD): 8 items (Items 18 through 25)
• Authentic Response Scale: 6-point rating scale evaluating behavior over the preceding month:
  • 1 = Never / Rarely in the past month
  • 2 = Seldom
  • 3 = Sometimes
  • 4 = Often
  • 5 = Very Often
  • 6 = Almost Always
• Scoring Procedures:
  • Reverse Scoring: No items are reverse-scored; all items are positively keyed toward symptom severity.
  • Subscale Scores: Calculated by summing the raw scores of the items within each subscale or by calculating the subscale item mean (range: 1.00 to 6.00). Mean subscale scoring preserves the metric of the response anchors, allowing direct cross-subscale comparisons.
  • Total Score: A global Disruptive Behavior severity score can be computed by summing all 25 items (range: 25 to 150) or averaging across all items.
  • Clinical Cutoffs: Subscale means equal to or exceeding 4.00 (“Often”) correspond to clinically significant elevations aligning with DSM diagnostic symptom thresholds.

Permissions & Fee and Test Year

The CADBI was formally published in its operational research edition in 2001 (Version 2.3). In contrast to commercial rating scales that charge per-protocol licensing fees, the creators intentionally placed the CADBI in the public domain for academic, scientific, and clinical practice use. It was designed to provide researchers and clinicians with a psychometrically sound alternative to high-cost behavioral inventories.

No licensing fees or royalties are required to administer, reproduce, or score the CADBI for clinical screening, educational assessment, or non-commercial research projects. The measure is accessible through academic archives, institutional repositories (such as the Center on Early Adolescence), and direct scientific correspondence with the primary author, Dr. G. Leonard Burns, at the Department of Psychology, Washington State University, Pullman, WA. Modifications to item stems or commercial redistribution in fee-for-service software requires explicit written permission from the copyright-holding authors.

References

• Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94. https://doi.org/10.1037/0033-2909.121.1.65
• Burns, G. L., Boe, B., Walsh, J. A., Sommers-Flanagan, R., & Teegarden, L. A. (2001). A confirmatory factor analysis on the DSM-IV ADHD and ODD symptoms: What is the best model for the organization of these symptoms? Journal of Abnormal Child Psychology, 29(4), 339–349. https://doi.org/10.1023/A:1010323111456
• Burns, G. L., Taylor, T. K., & Rusby, J. C. (2001a). Child and Adolescent Disruptive Behavior Inventory 2.3: Parent and Teacher Versions. Pullman, WA: Washington State University, Department of Psychology.
• Burns, G. L., & Walsh, J. A. (2002). The influence of ADHD-hyperactivity/impulsivity symptoms on the development of oppositional defiant disorder symptoms in a 2-year longitudinal study. Journal of Abnormal Child Psychology, 30(3), 245–256. https://doi.org/10.1023/A:1015112105435
• Gomez, R., Burns, G. L., Walsh, J. A., & Hafetz, J. (2005). A multitrait–multisource confirmatory factor analytic approach to the construct validity of ADHD and ODD rating scales with Malaysian children. Journal of Abnormal Child Psychology, 33(2), 241–254. https://doi.org/10.1007/s10802-005-1830-4
• Patterson, G. R. (1982). Coercive Family Process. Eugene, OR: Castalia Publishing Company.

Items of the Scale