Achenbach System of Empirically Based Assessment (ASEBA)

1. Abstract

The Achenbach System of Empirically Based Assessment (ASEBA) represents one of the most comprehensive, scientifically validated, and widely utilized multi-informant assessment batteries in the fields of clinical psychology, developmental psychopathology, psychiatry, and educational diagnostics. Developed originally by Thomas M. Achenbach and expanded collaboratively with Leslie A. Rescorla and colleagues, the ASEBA battery is designed to evaluate maladaptive behavioral, emotional, and social functioning, alongside positive adaptive competencies, across the human lifespan from age 1.5 to 90+ years. The system integrates data across multiple informants—including parents, teachers, daycare providers, spouses, adult partners, trained observers, and the individuals themselves—operationalizing the conceptual paradigm that psychological functioning varies systematically across interpersonal and environmental contexts.

Structurally, the ASEBA battery comprises age-stratified forms such as the Child Behavior Checklist (CBCL/1½-5 and CBCL/6-18), the Caregiver-Teacher Report Form (C-TRF/1½-5), the Teacher’s Report Form (TRF/6-18), the Youth Self-Report (YSR/11-18), the Adult Self-Report (ASR/18-59), the Adult Behavior Checklist (ABCL/18-59), the Older Adult Self-Report (OASR/60-90+), and the Older Adult Behavior Checklist (OABCL/60-90+). Psychometrically, the system is founded upon bottom-up, empirically derived dimensional constructs identified through iterative exploratory and confirmatory factor analyses. These yield narrowband syndrome scales (e.g., Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Social Problems, Thought Problems, Attention Problems, Rule-Breaking Behavior, and Aggressive Behavior) that hierarchically aggregate into two broadband dimensions: Internalizing Problems and Externalizing Problems, along with a Total Problems metric. Furthermore, the ASEBA incorporates top-down Diagnostic and Statistical Manual of Mental Disorders (DSM)-oriented scales constructed via international expert consensus to facilitate categorical diagnostic alignment.

Respondents rate target behaviors using a standardized 3-point Likert response format (0 = Not True, 1 = Somewhat or Sometimes True, 2 = Very True or Often True). The system provides continuous raw scores converted into normalized T-scores and percentile ranks standardized against vast non-referred epidemiological cohorts, incorporating multicultural norms across dozens of distinct societies. Psychometric evaluations consistently demonstrate robust internal consistency (Cronbach’s alpha and McDonald’s omega typically ranging from .70 to .97 across scales), exceptional test-retest reliability ($r > .80$ to $.95$), and profound discriminative, convergent, and cross-cultural structural validity, confirming its role as a premier gold standard in psychological evaluation.

2. Keywords

Achenbach System of Empirically Based Assessment, ASEBA, Child Behavior Checklist, CBCL, Youth Self-Report, Teacher’s Report Form, developmental psychopathology, multi-informant assessment, internalizing problems, externalizing problems, behavioral rating scales, cross-cultural psychometrics

3. Authors

The principal architect and primary investigator of the Achenbach System of Empirically Based Assessment is Thomas M. Achenbach, Ph.D., Professor of Psychiatry and Psychology at the University of Vermont Larner College of Medicine. Dr. Achenbach initiated the empirical conceptualization of childhood psychopathology in the late 1960s, constructing the seminal Child Behavior Checklist to overcome the diagnostic ambiguities and empirical inadequacies of early psychiatric nosologies.

A pivotal co-developer of the modern ASEBA suite is Leslie A. Rescorla, Ph.D. (1945–2020), who served as Professor of Psychology and Director of the Child Study Institute at Bryn Mawr College. Dr. Rescorla directed extensive international collaborative initiatives evaluating the cross-cultural generalizability, epidemiological invariance, and structural validity of ASEBA instruments across more than 50 societies worldwide.

Institutional Affiliation and Distribution Center:
ASEBA / Research Center for Children, Youth, & Families, Inc.
University of Vermont
1 South Prospect Street, St. Joseph’s Wing, 3rd Floor
Burlington, VT 05401-3456, USA
Official Contact & Technical Support: https://aseba.org/

4. Purpose

The primary clinical and scientific purpose of the Achenbach System of Empirically Based Assessment is to provide a standardized, objective, and developmentally sensitive framework for quantifying behavioral, emotional, and social competencies and problems. Historically, clinical decision-making was dominated by adultomorphic, top-down diagnostic systems—most notably early iterations of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders—which conceptualized child and adolescent behavioral problems through sparse, unvalidated categories that ignored developmental context and phenotypic heterogeneity. The ASEBA was engineered to remedy these limitations through an inductive, empirical approach: systematically capturing hundreds of observable problem behaviors and applying advanced multivariate statistical techniques to delineate how psychiatric symptoms naturally cluster in clinical and general populations.

Clinically, the ASEBA suite fulfills several vital functions across psychiatric, pediatric, educational, and forensic domains:

• Multi-Informant Diagnostic Assessment: By gathering concurrent ratings from parents, educators, clinicians, and individuals themselves, the ASEBA captures situational variations in human behavior. It addresses the well-documented empirical reality that cross-informant agreement regarding emotional and behavioral symptoms is modest (typically correlating between $r = .20$ and $.45$), demonstrating that variance across informants often reflects meaningful context-specific behavior (e.g., home vs. school environments) rather than mere measurement error.
• Baseline Quantification and Severity Stratification: Continuous normative scoring allows practitioners to differentiate normative developmental variation from subclinical manifestations and severe psychopathology using scientifically grounded cutoffs (Normal, Borderline Clinical, and Clinical ranges).
• Treatment Planning and Longitudinal Monitoring: Standardized T-scores and reliable change metrics empower clinicians to measure therapeutic efficacy, psychiatric pharmacotherapy outcomes, and psychoeducational interventions longitudinally.
• Forensic, Medical, and Custody Evaluations: Due to its robust psychometric validation and cross-cultural standardization, the battery is widely admitted in legal proceedings, child welfare assessments, and medical contexts evaluating chronic pediatric conditions or neuropsychological insults.

In empirical research, the ASEBA functions as a core measurement instrument in developmental psychopathology, behavioral genetics, neuroimaging, and epidemiological studies. It enables investigators to model psychopathology as dimensional phenotypes rather than artificial categorical dichotomies, maximizing statistical power and accommodating the extensive comorbidity observed among psychiatric disorders.

5. Psychological Construct

The ASEBA operationalizes psychological functioning via a hierarchical, multidimensional paradigm encompassing broad competence domains, narrowband behavioral syndromes, broadband higher-order dimensions, and DSM-oriented diagnostic categories. This structure reflects the reality that emotional and behavioral difficulties rarely present as isolated symptoms; rather, they manifest as complex, interconnected behavioral constellations.

5.1 Adaptive and Competence Dimensions

Unlike purely deficit-oriented diagnostic tools, the ASEBA incorporates systematic evaluation of personal assets, social resources, and functional competencies:

• Activities: Evaluates involvement, skill, and time investment in sports, hobbies, games, jobs, and organizational activities relative to peers.
• Social: Evaluates interpersonal engagement, number and quality of close friendships, frequency of social interaction, and interpersonal cooperation.
• Academic: Assesses school functioning across core academic curricula (e.g., reading, mathematics, language arts, social studies) alongside the presence of special education placements or grade retention.
• Adult Adaptive Functioning: In the adult forms (ASR/ABCL), competence metrics assess functioning across friends, spouse/partner relations, family interaction, job performance, and educational attainment.

5.2 The Broadband Dimensions

Higher-order factor analyses consistently reveal two overarching, broadband phenotypic spectra across childhood, adolescence, and adulthood:

• Internalizing Problems: Captures overcontrolled, inwardly directed psychological distress. It encompasses cognitive, affective, and physiological symptoms characterized by dysphoria, anxiety, somatic distress without biological etiology, and social withdrawal.
• Externalizing Problems: Captures undercontrolled, outwardly directed behavioral difficulties. It encompasses behavioral disruptions that conflict with the social environment, including rule violations, physical and verbal aggression, impulsivity, and defiance of authority.

5.3 Narrowband Syndrome Scales

The core empirical architecture comprises eight narrowband syndromes (derived across the school-age CBCL, TRF, and YSR), which demonstrate consistent factor-analytic stability across demographic strata:

• Anxious/Depressed: Encompasses manifestations of generalized anxiety, panic, guilt, self-deprecation, catastrophic worry, and affective distress (e.g., crying frequently, feeling unloved, intense fears).
• Withdrawn/Depressed: Assesses apathy, social isolation, emotional blunting, profound lethargy, and avoidance of social interactions (e.g., prefers to be alone, lacks energy, secretive).
• Somatic Complaints: Captures idiopathic physical symptoms lacking confirmed medical etiology (e.g., recurring headaches, nausea, abdominal pains, non-organic dizziness).
• Social Problems: Reflects peer rejection, immaturity, social incompetence, dependent social behaviors, and difficulties navigating peer-group dynamics.
• Thought Problems: Captures obsessive-compulsive manifestations, perceptual distortions, self-harm, unusual ideation, sleep disturbances, and psychotic-like experiences (e.g., hears sounds or voices that aren’t there, strange behaviors, cannot get mind off certain thoughts).
• Attention Problems: Measures neurocognitive dysregulation, inattention, hyperactivity, impulsivity, poor task completion, and disorganization across environmental contexts.
• Rule-Breaking Behavior: Measures antisocial conduct, delinquency, truancy, substance experimentation, running away, theft, lying, and violation of societal norms.
• Aggressive Behavior: Evaluates overt interpersonal hostility, destructiveness toward property, physical fights, verbal threats, temper tantrums, and cruelty.

5.4 DSM-Oriented Scales

To bridge empirical dimensional paradigms with statutory clinical nosology, the ASEBA features DSM-oriented scales assembled through international panels of child psychiatrists, clinical psychologists, and psychiatric epidemiologists who independently rated ASEBA items on diagnostic correspondence:

• Depressive Problems
• Anxiety Problems
• Somatic Problems
• Attention-Deficit/Hyperactivity Problems (Inattention and Hyperactivity/Impulsivity subscales)
• Oppositional Defiant Problems
• Conduct Problems

6. Theoretical Framework

The ASEBA is fundamentally grounded in the paradigm of Developmental Psychopathology, an integrative framework formulated by Dante Cicchetti, L. Alan Sroufe, Michael Rutter, and Thomas Achenbach himself. This conceptual framework rejects static, categorical views of psychiatric disease, conceptualizing mental disorders instead as dynamic processes emerging from complex, reciprocal interactions between biological vulnerabilities, psychological systems, familial contexts, and socio-environmental stressors across developmental stages.

6.1 Bottom-Up Taxometrics vs. Top-Down Nosology

Traditional psychiatric nosology (such as the DSM and ICD systems) utilizes a top-down, expert-consensus approach to clinical classification. Panels of clinicians delineate theoretical diagnostic categories and prescribe operational criteria based on clinical observation. While clinically accessible, top-down taxonomies have historically suffered from massive comorbidity rates, diagnostic instability, and arbitrary boundary lines between normalcy and pathology.

In contrast, Dr. Achenbach instituted a bottom-up, empirical taxonomy. By compiling expansive inventories of observable child and adult behaviors, surveying large non-clinical and clinical populations, and utilizing factor-analytic algorithms, the ASEBA allows the latent taxonomy of psychological dysfunction to reveal itself directly from the covariance structure of observed behaviors. This bottom-up framework aligns with modern dimensional models of psychopathology, including the Hierarchical Taxonomy of Psychopathology (HiTOP) and the National Institute of Mental Health’s Research Domain Criteria (RDoC).

6.2 Contextual Specificity and Multi-Informant Methodology

A foundational theoretical postulate of the ASEBA is that no single informant serves as an exhaustive, omniscient gold standard of an individual’s psychological functioning. Human behavior is intrinsically transactional; it varies in response to situational demands, environmental affordances, and relational partners. A child may manifest severe inattention and impulsivity in a structured academic environment (observed by a teacher) while remaining comparatively regulated in a flexible, one-on-one home context (observed by a parent). Conversely, subjective internal distress (e.g., depressive dysphoria, suicidal ideation, secret obsessions) is frequently inaccessible to external observers, requiring self-report data.

Therefore, discrepancies between informant ratings are not discarded as psychometric error or unreliability. Instead, the ASEBA conceptualizes multi-informant variation as substantive clinical data that captures contextual variance across social ecosystems.

7. Validity

The ASEBA instruments have undergone extensive empirical validation across thousands of peer-reviewed studies conducted worldwide over five decades.

7.1 Criterion-Related and Discriminant Validity

Criterion validity is demonstrated by the instruments’ capacity to differentiate between individuals referred for mental health or special education services and demographically matched non-referred individuals. In extensive normative studies (Achenbach & Rescorla, 2001, 2007), referred children and adults scored significantly higher ($p < .001$) across all syndrome, broadband, and DSM-oriented scales compared to non-referred peers, with effect sizes (Cohen’s $d$) routinely exceeding 1.20 to 1.80 for Total Problems, Externalizing, and Internalizing scales. Receiver Operating Characteristic (ROC) analyses confirm area under the curve (AUC) metrics consistently ranging between .82 and .94, confirming strong diagnostic accuracy in classifying clinical status.

7.2 Convergent Validity

The ASEBA scales demonstrate strong convergent correlations with concurrent standardized rating scales and clinical interviews:

• The CBCL Attention Problems scale and DSM-oriented ADHD scale correlate strongly ($r = .72$ to $.86$) with the Conners Rating Scales and the ADHD Rating Scale-5.
• The Internalizing Problems scale correlates significantly ($r = .68$ to $.81$) with established self-report depression and anxiety inventories, including the Children’s Depression Inventory (CDI), the Revised Children’s Manifest Anxiety Scale (RCMAS), and the Beck Depression Inventory (BDI-II).
• High concordance is documented with structured psychiatric diagnostic interviews, such as the Diagnostic Interview Schedule for Children (DISC-IV) and the Mini International Neuropsychopathic Interview (M.I.N.I.).

7.3 Cross-Cultural Structural Invariance

A major milestone in psychiatric assessment is the international research spearheaded by Rescorla and colleagues (e.g., Rescorla et al., 2007, 2012). Analyzing data across more than 50 societies representing Western, Asian, African, South American, and Middle Eastern populations, structural equation modeling (SEM) confirmed that the eight-syndrome model exhibits robust measurement invariance across cultures. While baseline mean problem scores exhibit modest cultural shifts—leading to the establishment of three distinct international normative groupings—the latent structure of psychological problems remains cross-culturally universal.

8. Reliability

The ASEBA battery exhibits high psychometric reliability across internal consistency, test-retest stability, and inter-rater concordance.

8.1 Internal Consistency

Across the school-age forms (CBCL/6-18, TRF/6-18, YSR/11-18), internal consistency coefficients (Cronbach’s alpha and McDonald’s omega) are high across clinical and non-clinical populations:

• Total Problems Scale: Consistently achieves $\alpha = .95$ to $.97$ across all forms.
• Broadband Scales (Internalizing & Externalizing): Alphas range reliably between $.88$ and $.94$.
• Narrowband Syndrome Scales: Syndrome scales with larger item counts (e.g., Aggressive Behavior, Attention Problems) yield alphas ranging from $.84$ to $.92$. Narrower syndromes with lower base-rate items (e.g., Somatic Complaints, Thought Problems) generally range between $.72$ and $.86$.
• DSM-Oriented Scales: Alphas range from $.73$ to $.91$ depending on informant and developmental stage.

8.2 Test-Retest Reliability

Temporal stability evaluated across non-clinical cohorts over short intervals (typically 7 to 14 days) reveals exceptional consistency. Mean test-retest reliability Pearson correlations ($r$) across informants are:

• CBCL/6-18: Test-retest correlation for the Total Problems scale averages $r = .94$; the broadband scales average $r = .90$; syndrome scales average $r = .88$.
• TRF/6-18: Teacher ratings over a two-week interval demonstrate a mean correlation of $r = .92$ for Total Problems and $r = .86$ across specific behavioral syndromes.
• YSR/11-18: Adolescent self-reports yield test-retest coefficients averaging $r = .87$ for Total Problems and $r = .82$ for individual syndrome scales.

8.3 Cross-Informant Agreement

Extensive meta-analytic reviews (e.g., Achenbach, McConaughy, & Howell, 1987; De Los Reyes et al., 2015) demonstrate that cross-informant correlations within the ASEBA conform to standard developmental expectations:

• Parent-Parent concordance: $r = .65$ to $.75$.
• Teacher-Teacher concordance: $r = .55$ to $.70$.
• Parent-Teacher concordance: $r = .25$ to $.45$.
• Parent-Youth concordance: $r = .30$ to $.45$.

These moderate cross-informant correlations highlight situational specificity in behavioral manifestations, demonstrating the critical value of utilizing multi-informant assessment batteries.

9. Factor Analysis

The structural validity of the ASEBA is anchored in decades of rigorous exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) applied to large general population samples and clinical cohorts.

9.1 Historical Exploratory Factor Analysis

In the initial development phases, principal components analyses with varimax and promax rotations were conducted on large pools of behavioral problem items. These analyses isolated primary factors representing narrowband syndromes. Factor extractions consistently identified symptom clusters that separated outwardly disruptive actions (e.g., fighting, stealing, disobedience) from internal distress (e.g., somatic complaints, depression, anxiety). Secondary principal component analyses conducted on the intercorrelations of these primary factors yielded the two broadband second-order factors: Internalizing and Externalizing.

9.2 Confirmatory Factor Analysis and Structural Fit

During the major 2001 and 2007 revisions, Achenbach and Rescorla conducted confirmatory factor analyses on independent national samples to validate the empirical architecture across age cohorts (preschool, school-age, and adult levels). Multiple structural models were tested, comparing single-factor, uncorrelated multidimensional, and hierarchical bifactor structures.

The standard eight-syndrome hierarchical model—wherein individual items load directly onto their respective first-order syndrome scales, which subsequently load onto the two higher-order broadband dimensions (Internalizing and Externalizing) with Attention, Social, and Thought Problems loading directly onto Total Problems—demonstrated strong fit indices across samples:

• Root Mean Square Error of Approximation (RMSEA): Values consistently range between $.032$ and $.048$, well below the conventional $.06$ threshold for good fit.
• Comparative Fit Index (CFI): Values exceed $.92$ to $.96$ across non-referred and clinical validation cohorts.
• Standardized Root Mean Square Residual (SRMR): Values typically range between $.041$ and $.052$.

Item factor loadings ($lambda$) onto their designated syndrome constructs are robust, predominantly exceeding $.50$, with few items loading below $.40$. Item response theory (IRT) analyses, utilizing both Rasch single-parameter and two-parameter logistic (2PL) models, further confirm that the items effectively span the latent continuum of symptom severity ($ heta$), offering high measurement precision particularly in the moderate-to-severe clinical range.

10. Instrument / Measurement Tool

The ASEBA is organized into distinct assessment modules corresponding to specific developmental life stages. Each instrument is designed for rapid, straightforward administration and scoring.

10.1 Key Forms Across the Lifespan

• Preschool Level (Ages 1.5 to 5):
  • Child Behavior Checklist for Ages 1½-5 (CBCL/1½-5): Completed by parents or primary caregivers; includes 99 specific problem items plus the Language Development Survey (LDS).
  • Caregiver-Teacher Report Form (C-TRF/1½-5): Completed by daycare workers, preschool teachers, or early education staff; contains 99 behavioral problem items.
• School-Age Level (Ages 6 to 18):
  • Child Behavior Checklist for Ages 6-18 (CBCL/6-18): Completed by parents/guardians; comprises 113 problem items (120 scoring entries including sub-items) and 7 adaptive competence items.
  • Teacher’s Report Form (TRF/6-18): Completed by academic teachers; comprises 113 problem items and academic/adaptive performance scales.
  • Youth Self-Report (YSR/11-18): Completed directly by adolescents aged 11 to 18; comprises 112 problem items alongside competence ratings.
• Adult Level (Ages 18 to 59):
  • Adult Self-Report (ASR/18-59): Completed by the adult; includes 126 problem items and adaptive functioning sections.
  • Adult Behavior Checklist (ABCL/18-59): Completed by a spouse, partner, parent, or close friend.
• Older Adult Level (Ages 60 to 90+):
  • Older Adult Self-Report (OASR/60-90+): Self-administered inventory tailored to physical, cognitive, and emotional challenges of aging.
  • Older Adult Behavior Checklist (OABCL/60-90+): Informant form completed by adult offspring, spouses, or residential caregivers.

10.2 Response Format and Scoring Mechanics

• Response Scale: Respondents evaluate behavioral items over a designated temporal recall window (past 6 months for CBCL, past 2 months for TRF) using a 3-point ordinal Likert scale:
  • 0 = Not True (as far as you know)
  • 1 = Somewhat or Sometimes True
  • 2 = Very True or Often True
• Standardized Metric Conversions: Raw scores are summed and converted into normalized T-scores ($M = 50, SD = 10$) and corresponding percentile ranks derived from age-, sex-, and culture-specific non-referred population norms.
• Clinical Interpretive Ranges:
  • Syndrome and DSM-Oriented Scales:
    • Normal Range: T-score < 65 (< 93rd percentile)
    • Borderline Clinical Range: T-score 65 to 69 (93rd to 97th percentile)
    • Clinical Range: T-score ≥ 70 (> 97th percentile)
  • Broadband (Internalizing, Externalizing) and Total Problems Scales:
    • Normal Range: T-score < 60 (< 84th percentile)
    • Borderline Clinical Range: T-score 60 to 63 (84th to 90th percentile)
    • Clinical Range: T-score ≥ 64 (> 90th percentile)
  • Competence Scales: Scored inversely, where lower T-scores reflect impairment (Clinical: T-score < 31; Borderline: 31–35; Normal: > 35).

11. Permissions & Fee and Test Year

The ASEBA was created in its initial version by Thomas M. Achenbach in 1966, followed by major milestones including the 1983 CBCL, the 1991 integrative assessment system revision, the 2001 school-age system update, and the 2007 older adult expansion. Continuous psychometric updates and multicultural norms have followed up to the present day.

Licensing, Fees, and Copyright: The Achenbach System of Empirically Based Assessment is a fully proprietary, copyrighted psychological assessment suite owned and controlled by the Research Center for Children, Youth, & Families, Inc. / ASEBA at the University of Vermont. The assessment materials, questionnaires, scoring profiles, software, and normative databases are strictly protected under international copyright legislation and are not in the public domain.

Users must purchase official paper questionnaires, licensing subscriptions for web-based scoring platforms (ASEBA-Web), or desktop scoring software (ASEBA-PC). Per-administration fees apply. Educational institutions, clinics, and independent researchers must register and obtain explicit user qualifications (typically requiring clinical licensure or advanced degrees in psychology, psychiatry, or allied professions consistent with APA Guidelines for Test User Qualifications) before administering or scoring the tools. Information regarding licensing, permissions for academic research, and purchasing can be secured through the official clearinghouse at https://aseba.org/.

12. References

Achenbach, T. M. (1966). The classification of children’s psychiatric symptoms: A factor-analytic study. Psychological Monographs: General and Applied, 80(7), 1–37. https://doi.org/10.1037/h0093906

Achenbach, T. M. (2009). The Achenbach System of Empirically Based Assessment (ASEBA): Development, findings, theory, and application. University of Vermont, Research Center for Children, Youth, & Families.

Achenbach, T. M., McConaughy, S. H., & Howell, C. T. (1987). Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 101(2), 213–232. https://doi.org/10.1037/0033-2909.101.2.213

Achenbach, T. M., & Rescorla, L. A. (2000). Manual for the ASEBA Preschool Forms & Profiles. University of Vermont, Research Center for Children, Youth, & Families.

Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA School-Age Forms & Profiles. University of Vermont, Research Center for Children, Youth, & Families.

Achenbach, T. M., & Rescorla, L. A. (2003). Manual for the ASEBA Adult Forms & Profiles. University of Vermont, Research Center for Children, Youth, & Families.

Achenbach, T. M., & Rescorla, L. A. (2007). Multicultural supplement to the Manual for the ASEBA School-Age Forms & Profiles. University of Vermont, Research Center for Children, Youth, & Families.

Cicchetti, D., & Toth, S. L. (2009). The past, present, and future of developmental psychopathology: The effects of early adversity on dynamic systems of development. Development and Psychopathology, 21(1), 1–4. https://doi.org/10.1017/S095457940900001X

De Los Reyes, A., Augenstein, T. M., Wang, M., Thomas, S. A., Drabick, D. A. G., Burgers, D. E., & Rabinowitz, J. (2015). The validity of the multi-informant approach to assessing child and adolescent mental health. Psychological Bulletin, 141(4), 858–900. https://doi.org/10.1037/a0038498

Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Dumenci, L., Almqvist, F., Bilenberg, N., Bird, H., Broberg, A. G., Dobrean, A., Du00f6pfner, M., Erol, N., Forns, M., Hannesdu00f3ttir, H., Kanbayashi, Y., Lambert, M. C., Leung, P. W. L., Minaei, A., Mulatu, M. S., Novik, T. S., u2026 Verhulst, F. C. (2007). The generalizability of the Youth Self-Report syndrome structure in 23 societies. Journal of Consulting and Clinical Psychology, 75(5), 729–738. https://doi.org/10.1037/0022-006X.75.5.729

Rescorla, L. A., Achenbach, T. M., Ivanova, M. Y., Dumenci, L., Almqvist, F., Bilenberg, N., Bird, H., Broberg, A., Domuta, R., Du00f6pfner, M., Erol, N., Forns, M., Hannesdu00f3ttir, H., Kanbayashi, Y., Lambert, M. C., Leung, P., Minaei, A., Mulatu, M. S., Novik, T. S., u2026 Verhulst, F. C. (2007). Behavioral and emotional problems reported by parents of children, 6 to 16 in 31 societies. Journal of Emotional and Behavioral Disorders, 15(3), 130–142. https://doi.org/10.1177/10634266070150030101

Rescorla, L. A., Ivanova, M. Y., Achenbach, T. M., Begovac, I., Chahed, M., Drugli, M. B., Emerich, D. R., Fung, D. S., Haider, I. I., Hanssen-Bauer, K., Liu, J., Mahr, D., Motti-Stefanidi, F., Moreira, P., Mountukray, R., Ogun, O., Oh, K. J., Ooi, Y. P., Simsek, Z., u2026 Xianchen, L. (2012). International comparisons of behavioral and emotional problems in preschool children: Parents’ reports from 24 societies. Journal of Clinical Child and Adolescent Psychology, 41(4), 458–473. https://doi.org/10.1080/15374416.2012.694600

13. Items of the Scale