Factor Analysis of Processing Speed Measures in a Sample of Normative and Clinically-Referred Children
Submitted by: Rachel K. Peterson, PhD,& Lisa A. Jacobson, PhD, ABPP-CN at the Kennedy-Kreiger Institute and Johns Hopkins School of Medicine
Research Update: Over the quarter, we obtained the neuropsychological data from Kennedy Krieger Institute and Pearson Assessment for children between 6 and 16 years of age. We performed initial descriptive statistics, including the sample size for each neuropsychological measure as well as mean, standard deviation, and range for both the Kennedy Krieger Institute dataset and Pearson Assessment. We then ran a correlation analysis with the Kennedy Krieger Institute sample to determine the number of measures in common in our dataset.
Assessing the predictive validity of autism indicator items on the Bayley Scales of Infant and Toddler Development in (N=600) high risk children
Submitted by: Jennifer Amato, PsyD., Nina Sand-Loud, MD., Jonathan Lichtenstein, PsyD., MBA; Dartmouth-Hitchcock Medical Center
Development of Novel Embedded Validity Tests (EVTs) within the WMS-4 Logical Memory Subtest
Submitted by: Ben K. Mokhtari, MS, graduate student at The University of Texas Southwestern Medical Center Mentors: Laura Lacritz, PhD, ABPP; Caitlin Reese, PhD; Jeff Schaffert, PhD; Richard Robinson, PhD; Shawn McClintock, PhD
Research update: Toward the proposed development of novel embedded validity tests within the WMS-IV Logical Memory subtest, research to this point has focused on initial aims to develop an updated rarely missed index. Data from the ACS No Stimulus sample and standardization sample have been analyzed to identify 12 rarely missed items (in keeping with the general process used for the WMS-III rarely missed index items). Next steps will involve matching and cleaning of clinical and invalid performance groups to examine performance of the index. Discriminant function analysis will follow to help identify an optimal cut off for the new rarely missed index.