Showing 1 - 3 of 3 Research Library Publications

Leveraging Machine Learning Technology to Improve Accuracy and Efficiency of Identification of Enemy Item Pairs

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.

Category:Assessment-Oriented Research, Scoring, Applications of Technology

ALS Specific Quality of Life Short Form (ALSSQOL-SF): A Brief, Reliable and Valid Version of the ALSSQOL-R

Posted: | S. H. Felgoise, R. A. Feinberg, H. B. Stephens, P. Barkhaus, K. Boylan, J. Caress, Z. Simmons

Muscle Nerve, 58: 646-654

 

The Amyotrophic Lateral Sclerosis (ALS)‐Specific Quality of Life instrument and its revised version (ALSSQOL and ALSSQOL‐R) have strong psychometric properties, and have demonstrated research and clinical utility. This study aimed to develop a short form (ALSSQOL‐SF) suitable for limited clinic time and patient stamina.

Category:Assessment-Oriented Research, General Measurement, Health Professions

Relationships Between Cognitive Complaints and Quality of Life in Older Adults With Mild Cognitive Impairment, Mild Alzheimer Disease Dementia, and Normal Cognition

Posted: | S. D. Stites, K. Harkins, J. D. Rubright, J. Karlawish

Alzheimer Disease & Associated Disorders: October–December 2018 - Volume 32 - Issue 4 - p 276-283

 

The purpose of this study is to examine the relationship between self-reports of cognitive complaints and quality of life (QOL) in persons with varying degrees of cognitive impairment.

Category:Health Professions