Objectives: Approaches for combining scores have been based on weighted mean (WM) without consideration for psychometric characteristics of each individual assessments. This study evaluates consequences of WM and composite score (CS) approach.
Methods: Data from two longitudinal cohorts (n = 219) were utilized for performance in three Operative Dentistry courses as basis to compare the two score-combining methods. Four assessments (two written and two practical exams) from each course were combined using WM and CS approaches. WM scores were calculated by multiplying the score by its weight and summing across assessments. The CS approach follow a modification of the Kane and Case method, by standardizing scores, taking into account the reliability and associations between each assessment score. t-Tests and Pearson's correlation were used to evaluate the consequences of the WM and CS approaches. In addition, changes in each student's rank across WM and CS were determined.
Results: Combining scores using CS method produced lower scores and higher percentage failure in all courses compared to WM. Students ranks were changed significantly when CS was used with only 15% of the cohorts retained their ranks.
Conclusions: CS produced a composite that is correlated with WM but still being substantively different providing meaningful and psychometrically rigorous information.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/jdd.13203 | DOI Listing |
Sci Rep
January 2025
Department of Information Systems, University of Haifa, Haifa, Israel.
This study explores the question whether Artificial Intelligence (AI) can outperform human experts in animal pain recognition using sheep as a case study. It uses a dataset of N = 48 sheep undergoing surgery with video recordings taken before (no pain) and after (pain) surgery. Four veterinary experts used two types of pain scoring scales: the sheep facial expression scale (SFPES) and the Unesp-Botucatu composite behavioral scale (USAPS), which is the 'golden standard' in sheep pain assessment.
View Article and Find Full Text PDFRMD Open
January 2025
Rheumatology, Medical University of Graz, Graz, Austria.
Objective: To test the reliability of the Outcome Measures in Rheumatology Giant cell arteritis (GCA) Ultrasonography Score (OGUS) and other composite scores in a patient-based exercise involving experts and non-experts in vascular ultrasonography.
Methods: Six GCA patients were scanned twice (two rounds separated ≥3 hours) by 12 experts and 12 non-experts. Non-experts received 90 min of theoretical and 240 min of practical training between rounds 1 and 2.
Rheumatology (Oxford)
January 2025
Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Objectives: To explore thresholds for the Psoriatic Arthritis (PsA) Impact of Disease questionnaire (PsAID12) score against disease activity measures in an observational setting, in patients with PsA.
Methods: The baseline data from the ReFlaP observational, prospective, multicentre and international study was used (NCT03119805). Cutoffs for PsAID12 were determined against disease activity scores, defining disease impact states (ie remission, low impact, moderate impact and high impact).
CJEM
January 2025
Department of Emergency Medicine and Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Objectives: POCUS is a core emergency medicine skill and mainstay of early pregnancy assessment. The ultrasound competency assessment tool was developed as an entrustment-based assessment tool for use by content experts evaluating trainees performing multiple POCUS study types. The objective of this study was to evaluate the scoring and extrapolation inferences of the tool within Kane's validity framework when used to assess trainees performing an early pregnancy POCUS.
View Article and Find Full Text PDFRheumatol Int
January 2025
Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, 30-688, Poland.
Growing evidence suggests that serotonin is an important mediator in the cross-talk between immune and bone cells, playing a role in the pathogenesis of various types of inflammatory arthritis (IA). However, the relationship between circulating serotonin and different outcomes in three most prevalent IA - rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (axSpA), remains limited and requires further investigation. This study was performed to evaluate variations in serotonin serum levels among RA, PsA, and axSpA and to explore the utility of this biochemical marker in the assessment of disease activity and health status measurements provided by the Multi-Dimensional Health Assessment Questionnaire (MDHAQ).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!