Test development and validation is fundamental to ensuring that assessments are accurate, reliable, and applicable to diverse populations.

My work in this area focuses on examining the psychometric properties of both self-report measures and performance-based assessments. This involves utilizing advanced psychometric techniques, including exploratory and confirmatory factor analysis and other latent modeling approaches.

Upcoming work in this area includes investigating the psychometric properties of neuropsychological assessment tools in underrepresented populations and developing and cross-validating novel performance validity (PVTs) and symptom validity (SVTs) tests.

There has been increased recognition that cognitive test performance is not solely determined by neurological processes.

My prior work in this area has investigated how response bias, psychopathology, and personality impact cognitive functioning in individuals with and without cognitive impairment. This research has utilized both experimental designs and the use of large clinical datasets to establish the extent to which these factors contribute to variability in test performance.

Upcoming work in this area will focus on how socio-cultural, psychological, and measurement related issues impact test performance with a particular emphasis on how these factors impact psychological and neuropsychological test performance in Black individuals.

Psychological and neuropsychological assessment relies not only on the psychometric properties of instruments, but also on the training, supervision, and clinical decision-making practices of the clinicians who administer and interpret them.

Prior work in this area has focused on understanding trainees perspectives as it relates to cultural considerations in assessment.

Upcoming work in this area will include examining existing training protocols, evaluating the implementation of standardized training procedures, and considering how supervision and feedback can support more reliable and equitable assessment practices.

Transdiagnostic risk factors provide valuable information for tailoring treatment approaches. Rather than designing interventions specific to each disorder, clinicians can develop strategies that target common mechanisms. This approach increases the efficiency of interventions and reduces the risk of symptom recurrence or the development of co-morbid disorders.

My work in this area has focused on the measurement of perfectionism and elucidating its relationship with psychopathology utilizing advanced psychometric techniques, including exploratory and confirmatory factor analysis and other latent modeling approaches. Although I continue to collaborate on projects related to perfectionism and other transdiagnostic risk factors, this is not a primary area of research.