Students inaccurately assess their own skills, especially high- or low-performers on exams. This study assessed whether regression effects account for this observation. After completing the Infection and Immunity course final exam (IIF), second year medical students (N = 143) estimated their performance on the IIF in terms of percent correct and percentile rank. Second year grade point averages (M2GPAs) were combined with the IIF results to form five subgroups: 1 = true-low (lowest third on both IIF and M2GPA, 2 = false-low (lowest third on IIF only), 3 = middle (neither lowest nor highest third on IIF), 4 = false-high (highest third on IIF only), 5 = true-high (highest third on IIF and M2GPA). The false-low and false-high groups were considered more susceptible to regression effects due to likely group misclassification. Differences between self-assessment and actual performance within each group and between the five groups were used to estimate what portion of observed differences is due to general tendencies versus regression effects. Results found that students accurately assessed their percent correct, but inaccurately assessed their percentile rank. No statistically significant differences existed between the true and false-low subgroups nor the true- and false-high subgroups. Percentages of mean differences suggest that while regression effects resulted in 50-75% over/under-estimates of scores by students who were misclassified, when they were merged with the true-low/high groups, they do not account for more than 14% of low performer over-estimates of their performance and high performer under-estimates of their performance. Accurate percent correct assessments and distorted percentile rank assessments are challenges in using instructional methods dependent on student self-assessments of their learning needs. Identifying and helping students with distorted perceptions of their test performances may be a key issue in such instructional approaches.
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http://dx.doi.org/10.1007/s10459-005-2400-7 | DOI Listing |
Pulmonology
December 2025
Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Cone-beam computed tomography (CBCT) assisted bronchoscopy shows prospective advantages in diagnosing peripheral pulmonary lesions (PPLs), but its diagnostic value and potential influencing factors remain unclear. What is the clinical value and optimal strategy of CBCT-assisted bronchoscopy in diagnosing PPLs? The references were searched from PubMed, EmBase, and Web of Science. Studies reporting diagnostic yield and potential influencing factors of CBCT-assisted bronchoscopy were included.
View Article and Find Full Text PDFAIDS Behav
January 2025
Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE Atlanta GA, Atlanta, 30322, USA.
This study aimed to explore the awareness, willingness, and engagement with pre-exposure prophylaxis (PrEP) among high-risk Chinese men who have sex with men (MSM) and to investigate the factors influencing its use. A cross-sectional survey of 1800 HIV-negative MSM was conducted in Chengdu, Suzhou, and Wuhan between June 2022 and February 2023 through in-person and online recruitment methods. Univariate and multivariate logistic regression analyses were used to identify predictors of PrEP use.
View Article and Find Full Text PDFClin Rheumatol
January 2025
Faculty of Medicine, Division of Rheumatology, Department of Internal Medicine, Hacettepe University, Ankara, Turkey.
Objectives: To determine the features of rheumatoid pulmonary nodules and the factors associated with nodule progression in patients with rheumatoid arthritis.
Methods: Between January 2010 and September 2018, RA patients with at least one chest computed tomography (CT) were included. Two experienced radiologists examined chest CTs.
Trop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFWorld J Urol
January 2025
School of Medicine, Department of Urology, Istanbul Medeniyet University, Göztepe Prof. Dr. Süleyman Yalçın City Hospital, Fahrettin Kerim Gökay Cd., Istanbul, 34720, Turkey.
Objective: Given the increasing significance of digital health literacy (DHL) and health literacy (HL) in promoting informed decision-making and healthy behaviors, this study aimed to assess the influence of self-reported HL and DHL on treatment adherence and quality of life among patients who underwent transurethral resection of bladder tumors (TUR-BT) for primary non-muscle invasive bladder cancer (NMIBC).
Materials & Methods: This single-center observational study involved patients who underwent TUR-BT for NIMBC at a tertiary hospital from May 2022 to February 2024. Before the procedure, the patients' DHL and HL were evaluated using the European Health Literacy Survey Questionnaire short version and the eHealth Literacy Scale.
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