Related Experiment Video
Updated: Jun 24, 2025

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
An Assessment of the Quality of Competence Restoration Research
Philip J Candilis1, George F Parker2
1Dr. Candilis is Medical Director of Saint Elizabeths Hospital, Washington, D.C., and a Professor of Psychiatry, George Washington University School of Medicine and Health Sciences, Washington, DC. Dr. Parker is Professor of Clinical Psychiatry, Indiana University School of Medicine, and Adjunct Professor of Law, Indiana University McKinney School of Law, Indianapolis, IN. philip.candilis@dc.gov.
Abstract:
A systematic review of the literature on restoration of competence to stand trial identified a predominance of retrospective case studies using descriptive and correlational statistics. Guided by National Institutes of Health (NIH) quality metrics and emphasizing study design, sample size, and statistical methods, the authors categorized a large majority of studies as fair in quality, underscoring the need for controlled designs, larger representative samples, and more sophisticated statistical analyses. Implications for the state of forensic research include the need to use large databases within jurisdictions and the importance of reliable methods that can be applied across jurisdictions and aggregated for meta-analysis. More sophisticated research methods can be advanced in forensic fellowship training where coordinated projects and curricula can encourage systematic approaches to forensic research.
More Related Videos
10:31A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
Published on: September 25, 2014
08:40Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
Published on: June 12, 2019
Related Concept Videos
Restorative Care
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Reliability and Validity