Discrimination Index Research Articles

Psychometrics of an Eight-Item Pulmonary Artery Catheter Safe-Care Assessment Tool for Critical Care Nurses.

Background and Purpose: The ability to safely care for patients with pulmonary artery catheters (PACs) is an essential skill for critical care nurses, yet no valid and reliable test exists to assess this knowledge. The purpose of this study was to assess the psychometrics of a test created to assess nurses' knowledge of PAC safe-care. Methods: Reliability was assessed using Kuder-Richardson-20, and validity was assessed using item difficulty, discrimination, and known-groups comparison. Results: The sample (N = 95) consisted of new graduates and experienced nurses. Reliability was less than desired (.657) but expected due to the small number of test items. Validity was supported by item difficulty, discrimination indices, and known-groups comparison. Conclusion: Assessing the reliability and validity of test questions is a crucial step for creating accurate instruments to assess safe-care practices, which can be used to improve course content and evaluation methods.

The impact of the COVID-19 pandemic on higher education: Assessment of student performance in computer science.

The COVID-19 pandemic had radically changed higher education. The sudden transition to online teaching and learning exposed, however, some benefits by enhancing educational flexibility and digitization. The long-term effects of these changes are currently unknown, but a key question concerns their effect on student learning outcomes. This study aims to analyze the impact of the emergence of new models and teaching approaches on the academic performance of Computer Science students in the years 2019-2023. The COVID-19 pandemic created a natural experiment for comparisons in performance during in-person versus synchronous online and hybrid learning mode. We tracked changes in student achievements across the first two years of their engineering studies, using both basic (descriptive statistics, t-Student tests, Mann-Whitney test) and advanced statistical methods (Analysis of variance). The inquiry was conducted on 787 students of the Lublin University of Technology (Poland). Our findings indicated that first semester student scores were significantly higher when taught through online (13.77±2.77) and hybrid (13.7±2.86) approaches than through traditional in-person means as practiced before the pandemic (11.37±3.9, p-value < 0.05). Conversely, third semester student scores were significantly lower when taught through online (12.01±3.14) and hybrid (12.04±3.19) approaches than through traditional in-person means, after the pandemic (13.23±3.01, p-value < 0.05). However, the difference did not exceed 10% of a total score of 20 points. With regard to the statistical data, most of the questions were assessed as being difficult or appropriate, with adequate discrimination index, regardless of the learning mode. Based on the results, we conclude that we did not find clear evidence that pandemic disruption and online learning caused knowledge deficiencies. This critical situation increased students' academic motivation. Moreover, we conclude that we have developed an effective digital platform for teaching and learning, as well as for a secure and fair student learning outcomes assessment.

External Validation of the Charlson Comorbidity Index-based Model for Survival Prediction in Thai Patients Diagnosed with Dementia

BackgroundThe Charlson Comorbidity Index (CCI) is commonly employed for predicting mortality. Nonetheless, its performance has rarely been evaluated in patients with dementia. This study aimed to examine the predictive capability of the CCI-based model for survival prediction in Thai patients diagnosed with dementia.MethodsAn external validation study was conducted using retrospective data from adults with dementia who had visited the outpatient departments at Maharaj Nakorn Chiang Mai Hospital between 2006 and 2012. The data obtained from electronic medical records included age, gender, date of dementia diagnosis and death, types of dementia, and comorbidities at the time of dementia diagnosis. The discriminative ability and calibration of the CCI-based model were estimated using Harrell’s C Discrimination Index and visualized with calibration plot. As the initial performance did not meet satisfaction, model updating and recalibration were performed.ResultsOf 702 patients, 56.9% were female. The mean age at dementia diagnosis was 75.22 (SD 9.75) year-old. During external validation, Harrell's C-statistic of the CCI-based model was 0.58 (95% CI, 0.54–0.61). The model showed poor external calibration. Model updating was subsequently performed. All updated models demonstrated a modest increase in Harrell's C-statistic. Temporal recalibration did not significantly improve the calibration of any of the updated models.ConclusionThe CCI-based model exhibited fair discriminative ability and poor calibration for predicting survival in Thai patients diagnosed with dementia. Despite attempts at model updating, significant improvements were not achieved. Therefore, it is important to consider the incorporation of other influential prognostic factors.

Multivariate Analysis Techniques and Tolerance Indices for Detecting Bread Wheat Genotypes of Drought Tolerance

Drought stress is one of the biggest hardships in wheat cultivation because of the strong negative relationship between water deficit and crop yields owing to a lower grain weight, a shorter grain-filling period, a slower grain-filling rate, and reduced grain quality. Genotype–environment interaction (GEN:ENV) generates hardships in selecting wheat genotypes and ideotypes due to biased genetic estimates. Diverse strategies have been proposed to respond to the urgent need for concurrent improvements in yield performance and stability. This study’s purpose was to appraise genetic variation and GEN:ENV effects on yield and yield components to discover drought-stress-tolerant genotypes and ideotypes. This study evaluated 20 genotypes in three consecutive seasons under non-stressful and drought-stress conditions in a total of six ENVs. The broad-sense heritability ranged from 0.54 to 0.82 based on expected mean squares and ranged from 0.60 to 0.90 based on plot mean, but in the other three ways, it was usually greater than 0.90. The high values of (σgen:env2) revealed the effect that broad-sense heritability has on the expression of traits. G01, G03, G06, G07, G08, G10, G12, G13, G16, G17, and G18 were stable genotypes for grain yield (GY), according to additive main effects and a multiplicative interaction biplot for the six ENVs. Based on scores in the weighted average of absolute scores biplot (WAASB), G02, G04, G05, G08, G10, and G18 were selected as stable and high-performance for GY, and they were all selected as the best genotype groups using the WAASB-GY superiority index. From the results obtained from principal component analysis and hierarchical clustering and from the tolerance discrimination indices, G02, G04, G05, G18, and G19 are genotypes that produce a suitable yield under non-stressful and drought-stress conditions. In essence, combining approaches that take into consideration stability and high performance can contribute significantly to enhancing the reliability of recommendations for novel wheat genotypes.

Polish adaptation, psychometric properties and validation of Physician’s Trust in the Patient Scale (PTPS)

Mutual trust is considered one of the critical aspects of building a successful doctor-patient relationship. Albeit patient trust in physicians has been widely explored by researchers, physician trust in patients remains neglected, which is reflected by the lack of existing tools to assess this construct. Therefore, we aimed to validate and adapt Thom’s Physician’s Trust in the Patient Scale (PTPS) in Polish. We conducted a survey-based study among 307 medical doctors. To determine the factor structure of the scale, both exploratory (EFA) and confirmatory factor analysis (CFA) were performed. The two-factor solution was established for the scale in accordance with the original version. To determine the internal reliability and consistency of the scale, we measured Cronbach’s alpha, corrected-item total correlation, and discrimination indices—all of them obtained very good or excellent values. Estimates of convergent and discriminant validity reached all suggested thresholds. The scale also performed well in theoretical validity. Together, these findings suggest that the psychometric properties of the Polish adaptation and validation of PTPS are satisfactory and that the tool can find practical and scientific applications. We believe that the scale can substantially add to our understanding of building trust-based relationships and rapport between patients and physicians.

Developing a Situational Judgement Test to Assess Clinical Judgement in Fourth-Year Medical Students: A Pilot Study.

Introduction Assessing clinical judgement objectively and economically presents a challenge in academic medicine. The authors developed a situational judgement test (SJT) to measure fourth-year medical students' clinical judgement. Methods A knowledge-based, single-best-answer SJT was developed by a panel of subject matter experts (SMEs). The SJT included 30 scenarios, each with five response options ranked ordinally from most to least appropriate. A computer-based format was used, and the SJT was piloted by two cohorts of fourth-year medical students at California University of Science and Medicine in 2022 and 2023 upon completion of an internship preparation course. Subsequently, students completed an optional survey. Evaluated scoring methods included original ordinal ranking, dichotomous, dichotomous with negative correction, distance from SME best answer, and distance from SME best answer squared. Results The SJT was completed by 142 fourth-year medical students. Cronbach's alpha ranged from 0.39 to 0.85, depending on the scoring method used. The distance-from-SME-best-answer-squared method yielded the highest internal consistency, which was considered acceptable. Using this scoring method, the mean score was 72.89 (SD = 48.32, range = 26-417), and the standard error of measurement was 18.41. Item analysis found that seven (23%) scenarios were of average difficulty, 13 (43%) had a good or satisfactory discrimination index, and nine (30%) had a distractor efficiency of at least 66%. Most students preferred the SJT to a traditional multiple-choice exam (16; 62%) and felt it was an appropriate tool to assess clinical judgement (15; 58%). Conclusions The authors developed and piloted an SJT to assess clinical judgement among medical students. Although not achieving validation, subsequent development of the SJT will focus on expanding the SME concordance panel, improving difficulty and discrimination indices, and conducting parallel forms reliability and adverse impact analyses.

Left Pulmonary Vein Trunk Length as a Robust Predictor of Long-Term Success of Atrial Fibrillation Catheter Ablation.

Radiofrequency catheter ablation (RFCA) is a commonly used treatment for atrial fibrillation (AF), but the long-term recurrence rate remains relatively high. Given the inconsistent results regarding the role of left pulmonary vein (PV) ostial anatomy in post-ablative recurrence of RFCA in previous studies, we sought to investigate the role of left PV trunk length using an alternative methodology. A total of 369 AF patients undergoing catheter ablation were included. The left/right trunk length (LTL/RTL) of the PV was measured from pre-ablative computed tomography (CT) using three-dimensional reconstruction techniques. We constructed three multivariable Cox models, with the inclusion of the LTL, RTL, and no LTL/RTL, and used the Delong test, integrated discrimination index (IDI), and net reclassification index (NRI) to assess model improvement. We identified optimal cut-off values for LTL with the receiver operating characteristic (ROC) curve, and estimated outcomes using the Kaplan-Meier survival curve. We also used subgroup analysis to evaluate interactions. The results of the Delong test, IDI, and NRI indicated that LTL had a favorable impact on the performance of the multivariate model. Subsequently, the multivariate Cox regression analysis identified LTL as a significant risk factor for post-ablative recurrence of AF (adjusted hazard ratio (HR) = 1.08, 95% CI: 1.05-1.12, p 0.001). According to the ROC curve, the optimal cut-off value for LTL is 11.15 mm, and the Kaplan-Meier estimator revealed different outcomes (p 0.001). We calculated p for interaction between LTL and other factors, and no significant interaction terms were observed. LTL is a robust prognostic indicator for post-ablative outcome in AF patients receiving RFCA, with a longer LTL indicating a higher risk of recurrence.

D-Limonene reduces depression-like behaviour and enhances learning and memory through an anti-neuroinflammatory mechanism in male rats subjected to chronic restraint stress.

D-limonene is a widely used flavouring additive in foods, beverages and fragrances due to its pleasant lemon-like odour. This study aimed to investigate the effects of D-limonene on the central nervous system when subjected to chronic restraint stress in rats for 21 days. Forty rats were randomly divided into five groups: i) control, ii) D-limonene, iii) restraint stress, iv) restraint stress+D-limonene and v) restraint stress+fluoxetine. Following the induction of restraint stress, the sucrose preference test, the open field test, the novel object recognition test and the forced swimming test were performed. The levels of BDNF, IL-1β, IL-6 and caspase-1 were measured from hippocampal tissue using the ELISA method. Sucrose preference test results showed an increase in consumption rate in the stress+D-limonene and a decrease in the stress group. The stress+D-limonene group reversed the increased defensive behaviour observed in the open-field test compared to the stress group. In the novel object recognition test, the discrimination index of the stress+D-limonene group increased compared to the stress group. BDNF levels increased in the stress+limonene group compared to the stress group. In contrast, IL-1β and caspase-1 levels increased in the stress group compared to the control and decreased in the stress+limonene group compared to the stress group. In this study, D-limonene has been found to have antidepressant-like properties, reducing anhedonic and defensive behaviours and the impairing effects of stress on learning and memory tests. It was observed that D-limonene showed these effects by alleviating neuroinflammation induced by chronic restraint stress in rats.

A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer.

To explore the efficacy of a prediction model based on diffusion-weighted imaging (DWI) features extracted from deep learning (DL) and radiomics combined with clinical parameters and apparent diffusion coefficient (ADC) values to identify microsatellite instability (MSI) in endometrial cancer (EC). This study included a cohort of 116 patients with EC, who were subsequently divided into training (n = 81) and test (n = 35) sets. From DWI, conventional radiomics features and convolutional neural network-based DL features were extracted. Random forest (RF) and logistic regression were adopted as classifiers. DL features, radiomics features, clinical variables, ADC values, and their combinations were applied to establish DL, radiomics, clinical, ADC, and combined models, respectively. The predictive performance was evaluated through the area under the receiver operating characteristic curve (AUC), total integrated discrimination index (IDI), net reclassification index (NRI), calibration curves, and decision curve analysis (DCA). The optimal predictive model, based on an RF classifier, comprised four DL features, three radiomics features, two clinical variables, and an ADC value. In the training and test sets, this model exhibited AUC values of 0.989 (95% CI: 0.935-1.000) and 0.885 (95% CI: 0.731-0.967), respectively, demonstrating different degrees of improvement compared with the clinical, DL, radiomics, and ADC models (AUC-training = 0.671, 0.873, 0.833, and 0.814, AUC-test = 0.685, 0.783, 0.708, and 0.713, respectively). The NRI and IDI analyses revealed that the combined model resulted in improved risk reclassification of the MSI status compared to the clinical, radiomics, DL, and ADC models. The calibration curves and DCA indicated good consistency and clinical utility of this model, respectively. The predictive model based on DWI features extracted from DL and radiomics combined with clinical parameters and ADC values could effectively assess the MSI status in EC.

Enhancing Assessment towards Flexible Medical Education: A Deep Dive into Preclinical Short Answer Questions through Item Analysis

Short answer questions (SAQs) and other forms of similarly structured examination methods are employed as evaluation tools to gauge the competency of medical students at various levels of study. However, item analyses for these questions have rarely been conducted. Evaluating the quality of examination questions through item analysis ensures that stakeholders, especially those undergoing learning in various flexible pathways in medical education, are provided with reliable and relevant assessments, promoting effective learning and competency development. In this study, we performed item analyses on SAQs by extracting the passing index (PI) and discrimination index (DI) for each sub-question. Data were analysed using Microsoft Excel (Microsoft Corporation, United States) and Jeffreys’s Amazing Statistics Program (JASP) (University of Amsterdam, The Netherlands). Twentyseven sub-questions from five SAQs were analysed. The DI of the sub-questions ranged from 0.043 to 0.935 with a mean of 0.449 ± 0.223, while the PI returned a range of 0.012 to 0.971 with a mean value of 0.597 ± 0.246. In conclusion, the SAQs administered during a professional examination of preclinical medical students exhibited an acceptable range and mix of PI and DI values. However, improvements must be made to the sub-questions that return poor PI and DI values.

Matos-Carvalho Index as a Comparison to other Discriminant Indexes in Initial Beta Thalassemia

Background Microcytic hypochromic anemia is the most common type of anemia found in Beta Thalassemia Trait and Iron Deficiency Anemia, posing a diagnostic challenge due to their similar presentations. Diagnostic errors among them can lead to incorrect treatment, potentially resulting in fatal outcomes. In Indonesia HPLC (High Performance Liquid Chromatography) usage as gold standard for discrimination between these diseases are expensive. Discrimination indices offer an alternative for cheaper and effective initial screening. However, a comprehensive performance evaluation of those indices, such as Matos and Carvalho indices, alongside Mentzer index, Green and King index, England and Fraser index, RBC index, Shine and Lal index, and Srivastava index, has not been conducted in Indonesia. This study aims to determine the best discriminative performance index based on the highest Youden’s indes value between those seven indices. Methods Study consisted of 30 subjects of beta thalassemia trait and 35 subjects of iron deficiency anemia. Index calculations were performed using blood profile formulas and compared with gold standard test results to find each index sensitivity, specificity, and Youden’s index value. Results Matos and Carvalho indices exhibited superior discriminatory performance, achieving 80% sensitivity, 77.1% specificity, and a Youden's index of 57.14%. Among other indices, the RBC index demonstrated the highest sensitivity (90%), while the Green and King index excelled in specificity (97.14%). MCV and MCH values did not significantly differ between BTT and IDA groups. Conclusions The study's findings underscore the efficacy of Matos and Carvalho indices in discriminating BTT and IDA in this study population, highlighting their potential as valuable tools in initial screening efforts.

Faster, more accurate, more confident? An exploratory experiment on soccer referees' yellow card decision-making.

This study aimed to examine how soccer referees make decisions about issuing yellow cards for fouls. The research involved 60 male participants, divided into expert (n=30) and novice (n=30) groups based on their experience and qualifications as referees. They took part in a 2×2×2 mixed-design experiment. The study looked at Decision-Making Style (DMS: Analytical Decision-Making [ADM] vs. Intuitive Decision-Making [IDM]), Video Type (yellow card foul vs. non-yellow card foul), and Referee Level (expert vs. novice) as independent variables. The dependent variables were accuracy rate (ACC), discrimination index (D), self-confidence index (C), and overconfidence index (OC). The findings showed that Analytical Decision-Making (ADM) led to higher accuracy compared to Intuitive Decision-Making (IDM). Expert referees demonstrated better accuracy than novice referees. There was also an interaction between Decision-Making Style and Referee Level, showing differences in the effectiveness of ADM and IDM between expert and novice referees. Additionally, the study revealed that both expert and novice referees showed overconfidence, with experts demonstrating significantly higher overconfidence, particularly during IDM. In conclusion, the research highlighted the complexity of referees' decision-making in high-pressure situations and emphasized the potential benefits of employing Analytical Decision-Making strategies. The study contributed to understanding cognitive biases in sports officiating and suggested the need for targeted training programs to help referees improve their performance and reduce overconfidence in challenging situations.

Development and Validation of Online Social Achievement Goals Questionnaire for College Students

An accurate assessment of online social achievement goals requires a new measure, tailored to the unique nature of online social contexts. Using the data collected from 366 U.S. college students, the online Social Achievement Goals Questionnaire (oSAGQ) was developed and validated. The oSAGQ includes three types of social achievement goals: Online social development, online social demonstration-approach, and online social demonstration-avoidance goals. Strong construct validity evidence was obtained through exploratory and confirmatory factor analyses. The oSAGQ showed strong psychometric properties, including high reliability and strong item discrimination index. Confirmatory factor analysis showed that online social achievement goals were empirically distinguishable from in-person goal constructs. Hierarchical regression analysis indicated that online social achievement goals had explained unique variance in online prosocial and antisocial behaviors after controlling for in-person social achievement goals. Both online and in-person social development goals were positively related to online prosocial behavior. However, the effect of in-person social demonstration-approach goals on online antisocial behavior disappeared once online counterpart was entered in the model, suggesting the superior predictive power of online social demonstration-approach goals for online antisocial behavior. Future research topics using oSAGQ were suggested.

Change in Digital Cognitive Test Performance between Solanezumab and Placebo Groups in Preclinical Alzheimer’s Disease: Secondary Analyses from the A4 Study

BackgroundPrimary results from the Anti-Amyloid in Asymptomatic Alzheimer’s disease Study (A4) suggested no benefit of solanezumab on its primary cognitive outcome, a composite of paper and pencil tests (the Preclinical Alzheimer’s Cognitive Composite; PACC).ObjectiveTo determine whether change in cognitive performance, assessed using the Computerized Cognitive Composite (C3) summary score and C3 individual tests, differed between treatment groups over 240 weeks, differed based on baseline Aβ burden, and tracked with PACC decline.DesignLongitudinal analysis of cognitive change over 240 weeks on the C3 Summary Score and C3 individual tests between participants randomly assigned to solanezumab at a dose of up to 1600 mg intravenously every 4 weeks versus placebo.SettingThe A4 study took place at 67 sites in Australia, Canada, Japan and the United States.ParticipantsCognitively unimpaired older adults (n=1117, Mean Age=71.9, 60.7% female) with elevated brain amyloid levels on 18F-florbetapir positron-emission tomography (PET) at baseline (n=549 in the solanezumab group; n=568 in the placebo group).MeasurementsParticipants completed the C3 battery and PACC every 6 months. The C3 Summary Score combines the Cogstate Brief Battery (CBB)-One Card Learning, the Behavioral Pattern Separation (BPS) Test- Object- Lure Discrimination Index, and the Face Name Associative Memory Exam (FNAME)- Face-Name Matching.ResultsChange on the C3 Summary Score was moderately correlated with change on the PACC (Spearman’s corr=0.53, 95% CI: 0.49 to 0.57; p<0.001). At 240 weeks, mean change in the C3 Summary Score did not differ between groups; +0.24 in the solanezumab group and +0.27 in the placebo group (mean difference= −0.02; 95% CI: −0.13 to 0.08; p = 0.650). Lack of a treatment effect was similarly observed across most individual C3 tests. Performance on the C3 tests were influenced by level of amyloid burden, where higher levels were associated with worse performance.ConclusionThis study provides corroborating evidence that solanezumab does not slow cognitive decline in preclinical AD as exhibited with a computerized cognitive assessment with some evidence that solanezumab may exacerbate cognition on select digital outcomes. This study also provides important information that amyloid related cognitive change manifests differently on individual C3 tests.

Large-Scale Proteomics Improve Prediction of Chronic Kidney Disease in People With Diabetes.

To develop and validate a protein risk score for predicting chronic kidney disease (CKD) in patients with diabetes and compare its predictive performance with a validated clinical risk model (CKD Prediction Consortium [CKD-PC]) and CKD polygenic risk score. This cohort study included 2,094 patients with diabetes who had proteomics and genetic information and no history of CKD at baseline from the UK Biobank Pharma Proteomics Project. Based on nearly 3,000 plasma proteins, a CKD protein risk score including 11 proteins was constructed in the training set (including 1,047 participants; 117 CKD events). The median follow-up duration was 12.1 years. In the test set (including 1,047 participants; 112 CKD events), the CKD protein risk score was positively associated with incident CKD (per SD increment; hazard ratio 1.78; 95% CI 1.44, 2.20). Compared with the basic model (age + sex + race, C-index, 0.627; 95% CI 0.578, 0.675), the CKD protein risk score (C-index increase 0.122; 95% CI 0.071, 0.177), and the CKD-PC risk factors (C-index increase 0.175; 95% CI 0.126, 0.217) significantly improved the prediction performance of incident CKD, but the CKD polygenic risk score (C-index increase 0.007; 95% CI -0.016, 0.025) had no significant improvement. Adding the CKD protein risk score into the CKD-PC risk factors had the largest C-index of 0.825 (C-index from 0.802 to 0.825; difference 0.023; 95% CI 0.006, 0.044), and significantly improved the continuous 10-year net reclassification (0.199; 95% CI 0.059, 0.299) and 10-year integrated discrimination index (0.041; 95% CI 0.007, 0.083). Adding the CKD protein risk score to a validated clinical risk model significantly improved the discrimination and reclassification of CKD risk in patients with diabetes.

An Achievement Test in Mathematics in the Modern World Course: The Standardization Process

This study aimed to construct and standardize an achievement test in Mathematics in the Modern World (MMW) course. Achievement test evaluates a student’s performance after a given period of instruction. Using the instrumentation research design, the data were gathered among 273 tertiary students of Notre Dame University enrolled during the second semester of Academic Year 2020-2021. Among these, 38 pilot tested and 213 tested the reliability of the instrument. This study further utilized the following: a 4-point Likert scale for the validation of the instrument, difficulty value and discrimination index formulas for the analysis of each item, and KR20 reliability for internal consistency. Furthermore, a test manual for the MMW achievement test was also established. The preliminary total number of Items before MMW teachers’ validation was 42 items covering the topics for the first 12 hours of the MMW Syllabus. These items were validated through Aiken’s Item Validity method which resulted in the acceptance of 42 items. After rigorous processes, it resulted in the acceptance of 34 items for the MMW achievement test. The instrument’s average validity is 0.935, and the reliability is 0.701 which means that this tool has high validity and acceptable reliability.

Glyphosate-based herbicide exposure affects cognitive flexibility and social cognition in adult mice

Glyphosate (Gly) is the active ingredient of several widely used herbicide formulations. Studies on Gly and glyphosate-based herbicide (GBH) exposure in different experimental models have suggested that the nervous system represented a key target for its toxicity, especially the prefrontal cortex (PFC). However, it is still unknown whether exposure to GBH affects higher brain functions dependent on PFC circuitry. The present work aimed to examine the effects of subtoxic doses of GBH on social cognition and cognitive flexibility as two functions belonging to higher brain function in mice. To do so, adult male mice were exposed daily to GBH by gavage at doses of 250 or 500 mg/kg for a sub-chronic period lasting 6 weeks. Then, mice were subjected to behavioral testing using the three-chamber and the Barnes maze paradigms. Our results indicate that GBH did not affect sociability. However, we found that GBH affects social cognition expressed by a lower discrimination index in the three-chamber test. Moreover, spatial memories evaluated during the probe trial, and cognitive flexibility evaluated during the reversal probe, were affected in mice exposed to GBH. Based on these results, exposure to subtoxic doses of GBH led to neurobehavioral alterations affecting the integrity of social cognition and cognitive flexibility functions. Finally, these data urge a thorough investigation of the cellular and molecular mechanisms underlying these alterations.

Construction and Standardization of Knowledge Test to Measure the Knowledge Level of Farmers on Rice Crop Cultivation

A study was designed to develop a standardized test to measure the knowledge of rice farmers. Pertinent items covering every aspect of rice cultivation were collected with the help of subject matter specialists, progressive farmers, and scientists along with related literature. After getting experts opinion, items were subjected to difficulty index, discrimination index, correlation, reliability and validity. Items with 20-80 of difficulty level, items with 0.20-0.80 discrimination index and significant either at 1 percent or 5 percent level point in biserial correlation were selected and admitted to rice to measure knowledge level on rice cultivation. A total of 47 items were included in the final knowledge test to measure the knowledge level of farmers in rice cultivation.

An evaluation of a final year multiple choice questions examination at Faculty of medicine-university of Benghazi

Background: Multiple choice questions (MCQs) are widely used in medical education, they have the feature of sampling broad domains of knowledge efficiently and reliably. They represent one of the most important examination tools used in undergraduate and postgraduate medical examinations. Exam analysis is an assessment tool that provides important information about validity and reliability of test. Item analysis is used to analyze the difficulty and the discrimination ability of individual items and the total test scores. The purpose of this study is to examine the quality of one of the final exam papers, that is composed of single best of five MCQs, and to examine the correlation between the difficulty and discrimination index of each item. Subject and method: The authors collected the exam results of 425 students who set for the final exam at the end of the a academic year 2021- 2022. The exam consisted of 70 MCQs and was aiming to assess the students` knowledge, understanding, application and analysis of the subject matter. The test was analyzed regarding content validity and reliability of the test as a whole as well as the difficulty coefficient and discrimination coefficient for each item. Results: Out of the 425 students who set for the exam about 86% has passed (scored ≥ 60% of the total marks), the test reliability was excellent (0.91) and the mean difficulty index (P) was 75.22 ± 19.4 (easy exam). Out of the 70 items six (8.57%) had a poor discrimination (D &lt; 0.1). When comparing the exam questions with the blueprint 90% of the topics of the subject materials were either over or under represented. About 77% of the exam questions were testing either students` knowledge or understanding. The correlation between the difficulty index and discrimination index was moderately positive which was statistically significant (0.633, P = 0.000). Conclusion: although the current study showed a good exam reliability, however the exam content validity was suffering from many weakness regarding the total number of the items, and distribution of the items according to the topics and the cognitive levels, therefore the number of exam questions should be increased and a blueprint should be developed for assessment. The overall exam difficulty was low as there were too many easy questions and this could impair both exam validity and reliability. The number of average and difficult questions should be considerably increased.

Investigation of Eighth-Grade Students’ processes of solving skill- based science questions by eye tracking technique

AbstractThe aim of this study was to determine the visual measurement results related to the behavior/processes of solving skill-based science questions of eighth grade students by eye tracking technique. Non-experimental quantitative research method was used in the research and visual measurement results were supported by heat maps and eye splash movements. Nine questions, with difficulty and discrimination indexes calculated, were applied to 56 eighth grade students. Data were collected with a skill-based test, eye tracking device, think-aloud protocols and a perception scale towards next generation science questions. The data obtained from the eye tracking device was examined using Gaze Viewer software and the results were shown as images. The results revealed that visual measurement results differed according to gender and 2023 high schools entrance exam scores. Additionally, negative relationships were found between visual measurement results and students’ practice test scores and their perceptions towards solving next generation science questions. It was determined that average duration of fixation had a significant predictive effect on students’ self-efficacy levels for solving next generation science questions.