Showing 1 - 4 of 4 Research Library Publications

Detecting Item Parameter Drift in Small Sample Rasch Equating

Posted: | Daniel Jurich, Chunyan Liu

Applied Measurement Education: Volume 36, Issue 4, Pages 326-339

 

This study examines strategies for detecting parameter drift in small-sample equating, crucial for maintaining score comparability in high-stakes exams. Results suggest that methods like mINFIT, mOUTFIT, and Robust-z effectively mitigate drifting anchor items' effects, while caution is advised with the Logit Difference approach. Recommendations are provided for practitioners to manage item parameter drift in small-sample settings.
 

Category:Assessment-Oriented Research, Reliability/Validity, Scoring

On the Predictive Power of the In-Training Examination for the Certification of Anesthesiologist Assistants

Posted: | Irina Grabovsky, Jerusha J. Henderek, Ulana A. Luciw-Dubas, Brent Pierce, Soren Campbell, Katherine S. Monroe

Journal of Medical Education and Curricular Development: Volume 10

In-training examinations (ITEs) are a popular teaching tool for certification programs. This study examines the relationship between examinees’ performance on the National Commission for Certification of Anesthesiologist Assistants (NCCAA) ITE and the high-stakes NCCAA Certification Examination.

Category:Assessment-Oriented Research, Links to Outcomes, Health Professions

Awareness of Diagnosis Predicts Changes in Quality of Life in Individuals with Mild Cognitive Impairment and Mild Stage Dementia

Posted: | Shana D. Stites, Jonathan D. Rubright, Kristin Harkins, Jason Karlawish

International Journal of Geriatric Psychiatry: Volume 38 - Issue 6, e5939

 

This observational study examined how awareness of diagnosis predicted changes in cognition and quality of life (QOL) 1 year later in older adults with normal cognition and dementia diagnoses.

Category:Health Professions

Reading Differences in Eye-Tracking Data as a Marker of High-Functioning Autism in Adults and Comparison to Results from Web-Related Tasks

Posted: | Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov

Neural Engineering Techniques for Autism Spectrum Disorder: Volume 2, Pages 63-79

 

Automated detection of high-functioning autism in adults is a highly challenging and understudied problem. In search of a way to automatically detect the condition, this chapter explores how eye-tracking data from reading tasks can be used.

Category:Health Professions, Assessment-Oriented Research, Applications of Technology