The Vanderbilt ADHD Diagnostic Parent Rating Scale (VADPRS) is a 55-item parent-report measure designed to assess symptoms of Attention-Deficit/Hyperactivity Disorder (ADHD) and common comorbid conditions in children aged 5-12 years of age (Wolraich et al., 2003).
Developed within a clinical framework, the VADPRS evaluates six distinct clinical dimensions (plus functional impairment):
VADPRS Sample
Additionally, the scale assesses functional impairment in academic and social domains, evaluating the child’s performance across eight areas, including reading, mathematics, and peer relationships. This functional impairment scale is used to determine whether or not a child meets the clinical cutoff criteria for each of the dimensions assessed.
For clinicians, the VADPRS offers several distinct advantages, particularly in comprehensive ADHD assessment. The scale has been endorsed by the American Academy of Pediatrics as part of their recommended evaluation protocol for ADHD, making it a standard component in clinical practice guidelines (Wolraich et al., 2011). The VADPRS aids in assessment, treatment planning, and intervention evaluation. As an assessment tool, it helps identify patterns of symptoms that correspond directly to DSM diagnostic criteria for ADHD and common comorbidities. This is particularly valuable for distinguishing between ADHD subtypes and identifying additional concerns that may complicate treatment.
There is also a complementary Teacher-rated version, the Vanderbilt ADHD Diagnostic Teacher Rating Scale (VADTRS). This can be used in coordination with the VADPRS to ensure that symptoms are observed across multiple settings, which is a key diagnostic requirement for ADHD according to DSM criteria. The combined use of VADPRS and VADTRS helps clinicians identify whether functional impairment is present across settings, distinguish between situational versus pervasive difficulties, and develop more targeted intervention strategies that address setting-specific needs.
The VADPRS has demonstrated value across diverse populations, with studies supporting its use in both referred clinical samples and community populations. In treatment planning, specific dimensional scores on the VADPRS may indicate the need for targeted interventions addressing particular aspects of functioning. For example, high scores on the Oppositional Defiant subscale might suggest the need for parent management training, while elevated Anxiety/Depression scores could indicate the need for additional emotional support.
The Vanderbilt ADHD Diagnostic Parent Rating Scale (VADPRS) scores consist of subscale scores across multiple clinical domains. Higher scores represent higher levels of symptoms within each of the domains measured. Scores are provided for the following subscales of the VADPRS:

The VADPRS employs both symptom count and dimensional scoring approaches. The raw score uses the dimensional scoring technique where sum scores for each subscale provide continuous measures of symptom severity, where higher scores equate to higher symptom severity. The percentiles are based upon these dimensional raw scores and are derived from a sample of 1,570 caregivers of children aged 5-12 years of age (Anderson et al., 2022). Scores are presented as percentile ranks based on age-specific normative data for four groups: 5-6 years, 7-8 years, 9-10 years, and 11-12 years. Percentiles indicate the child’s position relative to same-aged peers in the normative sample. For children outside the target age range, combined norms are used with appropriate caution in interpretation. A percentile of 50 indicates that the symptom level for the child is at average and expected levels for a child of that age group and a percentile of 90 indicates that the child has relatively high symptom levels compared to their peers (i.e., higher than 90 percent of their peers).

The clinical cutoffs use the symptom count approach where behaviours rated as “often” or “very often” are flagged as a significant symptom with clinical cutoffs based upon meeting both threshold numbers AND functional impairment (Items 48-55). ADHD presentations require six or more qualifying symptoms plus functional impairment in at least one domain. Oppositional Defiant Disorder requires four or more symptoms plus impairment, Conduct Disorder requires three or more symptoms plus impairment, and Anxiety/Depression requires three or more symptoms plus functional impairment. The functional impairment questions (Items 48-55) evaluate eight domains of academic performance and social relationships, where scores of 1 or 2 indicate significant impairment.

Note, there can sometimes be discrepancies where a child might not meet the clinical cutoff but their percentile could be high (at the 90th percentile or higher). This could happen for a number of reasons. Firstly, they might not meet the functional impairment criteria – their symptoms are high but it does not appear to be impacting daily functioning. This might require further investigation and interviewing the informant with regard to whether they have a good understanding of the impact on daily functioning for the child. The other reason this might happen is that the client scores high on a small number of symptom questions but then very low on others and even though they might have functional impairment, the actual threshold using the symptom count approach used for the clinical cutoff falls just short. This too is unusual and might require further investigation.

On first administration of the VADPRS, there are two plots shown. The first horizontal bar plot shows the ADHD subtype raw scores with the normative and clinical samples shaded in the background (with the samples shown as between the 25th and 75th percentiles). The normative percentile sample is the same as those used to derive the percentiles (i.e., the Anderson et al., 2022 sample) whereas the clinical percentiles are derived from a NovoPsych sample of over 3,000 children who met the clinical cutoff criteria. The second plot shows the normative percentiles for all subscales with a coloured background at the 90th percentile and above, indicating elevated scores. A line is presented on this plot at the 50th percentile which indicates an average symptom level for each of the subscales. Subsequent administrations of the VADPRS show two longitudinal plots showing (i) the ADHD subtype raw scores and (ii) the comorbid percentiles over time.

When VADPRS scores are available from multiple timepoints, changes in scores can provide valuable information about the effectiveness of interventions or developmental changes in symptoms. For comparative interpretation, changes of at least 0.5 standard deviations in raw scores are considered clinically meaningful (the minimally important difference) (Norman et al., 2003; Turner et al., 2010). These changes are categorised as ‘significant’ (either improvement (minimally important difference reduction in raw score) or deterioration (minimally important difference increase in raw score)), ‘slight’ (showing some change but not quite to the minimally important difference level), or ‘none’ (no change in raw score). If applicable, this interpretive text outlining change in scores is displayed first within the interpretive text section.
The VADPRS was initially validated in a clinical population of 243 children, where it demonstrated high internal consistency with Cronbach’s alpha coefficients exceeding .90 for each of the ADHD presentations, as well as the externalizing and internalizing subscales (Wolraich et al., 2003). Factor analysis identified a strong four-factor structure comprising inattention, hyperactivity/impulsivity, oppositional defiant/conduct problems, and anxiety/depression dimensions. The internal consistency of the VADPRS has been consistently demonstrated across multiple studies and populations. In the original validation study, whole scale internal consistency reliabilities showed Cronbach’s alpha values of .90 or higher across all samples and measurement approaches (Wolraich et al., 2003). Subsequent validation in a community sample of 215 children aged 7-11 years confirmed excellent reliability, with alpha coefficients of .94 for the ODD subscale, .79 for CD, and .93 for anxiety/depression (Becker et al., 2012). A large-scale normative study involving 1,570 caregivers found internal consistency ranging from 0.90 to 0.96 across all subscales, demonstrating that reliability remains excellent across diverse populations (Anderson et al., 2022).
Confirmatory factor analysis has provided strong support for the theoretical structure underlying the VADPRS. Using EQS software, the scale demonstrated satisfactory fit with the two-factor model of ADHD, with comparative fit indices exceeding .90 in multiple parent samples (Wolraich et al., 2003). The correlation between inattention and hyperactivity/impulsivity factors ranged from .75 to .79, indicating substantial but appropriate overlap between these dimensions. When examining the complete four-factor structure including comorbidity scales, the model achieved a CFI of .93, supporting the multidimensional nature of the assessment. International validation has confirmed this factor structure, with the Arabic version demonstrating excellent fit indices including CFI = 0.956, TLI = 0.942, and RMSEA = 0.049 (Alqahtani et al., 2024).
Construct validity of the VADPRS is supported through its theoretically consistent relationships with established measures. The scale demonstrated high concurrent validity with the Computerized Diagnostic Interview Schedule for Children-IV, achieving a correlation of r = .79 for the total ADHD score (Wolraich et al., 2003). This strong relationship with a structured diagnostic interview provides evidence that the VADPRS measures the same underlying constructs assessed through comprehensive diagnostic procedures. The scale’s ability to differentiate between different clinical presentations while maintaining appropriate intercorrelations between related domains supports both convergent and discriminant validity.
Normative data for the VADPRS has been established through a comprehensive national study representative of the United States population. Based on the combined sample of 1,570 caregivers of children aged 5-12 years, the following means and standard deviations provide reference points for interpretation (Anderson et al., 2022):
These normative values enable the calculation of percentile ranks for clinical interpretation, with age-specific norms available for four developmental groups spanning ages 5-12 years (age brackets of 5-6, 7-8, 9-10, and 11-12 years of age).
Wolraich, M. L., Lambert, W., Doffing, M. A., Bickman, L., Simmons, T., & Worley, K. (2003). Psychometric properties of the Vanderbilt ADHD diagnostic parent rating scale in a referred population. Journal of Pediatric Psychology, 28(8), 559-567. https://doi.org/10.1093/jpepsy/jsg046
Alqahtani, M. M. J., Al Saud, N. M., Alsharef, N. M., Alsalhi, S. M., Al-Hifthy, E. H., AlHadi, A. N., Ad-Dab’bagh, Y., Alenazi, F. A., Alotaibi, B. M., Alsaeed, S. M., Arnout, B. A., ALQasem, L., Alhossein, A., Alqahtani, Y. J., AlGhamdi, S. A., Alrahili, N., Varnham, J., & Asiri, S. A. (2024). Psychometric properties of the Arabic Vanderbilt children’s ADHD diagnostic rating scale (VADRS-A) in a Saudi population sample. Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, 12(1), 72–83. https://doi.org/10.2478/sjcapp-2024-0008
Anderson, J. R., Machalicek, W., Wolraich, M. L., Glanzman, M., DuPaul, G. J., Danielson, M. L., & Visser, S. N. (2022). National norms for the Vanderbilt ADHD Diagnostic Parent Rating Scale in children. Journal of Pediatric Psychology, 47(6), 652-666. https://doi.org/10.1093/jpepsy/jsab138
Becker, S. P., Langberg, J. M., Vaughn, A. J., & Epstein, J. N. (2012). Clinical utility of the Vanderbilt ADHD diagnostic parent rating scale comorbidity screening scales. Journal of Developmental and Behavioral Pediatrics: JDBP, 33(3), 221–228. https://doi.org/10.1097/DBP.0b013e318245615b
Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2003). Interpretation of changes in health-related quality of life: The remarkable universality of half a standard deviation. Medical Care, 41(5), 582–592. https://doi.org/10.1097/01.MLR.0000062554.74615.4C
Turner, D., Schünemann, H. J., Griffith, L. E., Beaton, D. E., Griffiths, A. M., Critch, J. N., & Guyatt, G. H. (2010). The minimal detectable change cannot reliably replace the minimal important difference. Journal of Clinical Epidemiology, 63(1), 28–36. https://doi.org/10.1016/j.jclinepi.2009.01.024
Wolraich, M. L., Brown, L., Brown, R. T., DuPaul, G., Earls, M., Feldman, H. M., Ganiats, T. G., Kaplanek, B., Meyer, B., Perrin, J., Pierce, K., Reiff, M., Stein, M. T., & Visser, S. (2011). ADHD: Clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics, 128(5), 1007-1022. https://doi.org/10.1542/peds.2011-2654