Date of Submission
2022
Degree Type
Dissertation
Degree Name
Doctor of Psychology (PsyD)
Department
Psychology
Department Chair
Stephanie Felgoise, PhD, ABPP
First Advisor
Donald P. Masey, PsyD
Second Advisor
Susan M. Panichelli Mindel, PhD
Third Advisor
Robert L. Rider, PhD
Abstract
Neuropsychological assessment is useful for identifying and predicting symptoms of psychological disorders. Certain tests within a neuropsychological battery can be better predictors of attention deficit-hyperactivity disorder (ADHD) symptoms than others. The current study aims to contribute to the growing body of literature supporting the use of neuropsychological assessment in identifying adult ADHD symptoms. Data includes 68 deidentified adults with ADHD collected retrospectively from a private neuropsychology practice. A linear regression model (ANOVA) evaluated the relationship between the dependent variable for Hypotheses 1-3 (Attention and Behavior Rating Form, total score) and independent variables of D-KEFS Tower Test first move time and total achievement, the 2 & 7 Test omission errors, CPT 3 commission errors, and ROCF Copy Trial time to copy and a low accuracy copy score. Results did not find a significant association between shorter first move time or total achievement on the D-KEFS Tower Test and ABRF total scores. No association was found between commission errors on the CPT 3 and number of ADHD symptoms on the ABRF; however, a significant association was found between number of omission errors on the 2 & 7 Test and number of ADHD symptoms on the ABRF. Finally, no association was found between shorter time to copy and a low accuracy copy score on the ROCF copy trial and more ADHD symptoms on the ABRF. Analyses controlled for depression and anxiety as assessed by the PAI for each hypothesis. Results may inform future ADHD assessment approaches and potentially contribute to creating a more concise ADHD battery.
Recommended Citation
Taylor, Kara, "Predicting ADHD Symptoms in Adults from Performance on Selected Neuropsychological Measures" (2022). PCOM Psychology Dissertations. 590.
https://digitalcommons.pcom.edu/psychology_dissertations/590