Low Performer Research Articles

Fearless happiness in apparel store sales performance and the two faces of conscientiousness

Conscientiousness can be an important personality predictor of sales performance. However, it has been suggested that Conscientiousness may have two faces in the job performance context: the highly functioning worker and the nervous low performer driven by angst. Based on the moderated expression model of Conscientiousness in job performance and the apparel store sales context, we tested whether the Fearless Happiness trait, a compound trait of Emotional Stability and Extraversion, positively moderated the relation between salespersons' (N = 251) Conscientiousness and objective individual sales performance over one year in a large nationwide chain of apparel stores (N = 174 units). We found that individuals who possessed elevated trait levels of Conscientiousness and Fearless Happiness were the high-functioning salespersons, individually improving sales performance by more than €20,500 per year above beyond Customer Service Orientation. We discuss implications for the two faces of Conscientiousness in sales performance.

Prediction of Engineering Students Learning Outcomes using Machine Learning

Data science and machine learning, over the years have proven very well-organized and significant in many sectors including education. Machine learning is an aspect of artificial intelligence in which a computing system can able to learn from data and make conclusions. The recent development in education sector provides assessment tools to predict the student performance by exploring education data using machine learning and data mining techniques. Student performance assessment is an important measurement metrics in education which affects the university accreditation. Student performance improvement plan must be implemented in those universities, by counselling the low performer students. It helps both students and teachers to overcome the problems experienced by the student during studies and teaching techniques of teachers. In this review paper, different student performance prediction literature related to find out low performer student. The survey results indicated that different machine learning techniques are used to overcome the problems related to predicting student at risk and assessment of student performance. Machine learning techniques plays an important role in progress and prediction of student performance, thus improving student performance prediction system

A Comparative Study on Learning styles and Strategies of High and Low Preforming Students on Mathematics

The students in a class are diverged from many perspectives, among such perspectives their learning styles and strategies is one of the major. Basically, we as a teacher rather used to notice the learning styles and strategies of our students, we just motivated to categorize our students as high performer or low performer. In this context, this is a case study research on the topic 'A comparative study on learning styles and strategies of high and low performing students on mathematics' with the objectives to compare the learning strategies used by high and low performing students in mathematics. For which, four (two from each categories) students were selected purposively on the basis of their performance in mathematics as the key research participants from a higher secondary level. The identification of their learning strategies are based on four subheadings as readiness for learning, pre-knowledge of the content, process for learning and solving a problem. With the prolong engagement with participants, the study concluded with the various differences as well as similarities in each category and on the basis of such differences and similarities, the study further emphasized to be aware about their learning styles and strategies is more beneficial to create the meaningful teaching learning environment in the classroom.

ROPE and RACE: An Ingenious Board Game for Intermediation in Mastering the Four-Fundamental Operations of Grade 5 Learners

The study generally aimed to let selected grade 5 learners had the mastery on Four-Fundamental Operations using the ingenious board game, ROPE and RACE. This is a Quasi-Experimental research design using purposive sampling technique in selecting Grade 5 learners who were identified as low performer in the basic mathematical skills which are the four-fundamental operations. The results of the score of the respondents were 51.50 in the pre-test and 90.13 in the post-test. The increase of 38.63 justified that there was an improvement in the performance of the learners. It implies that the respondent shows mastery in performing the four-fundamental operations in mathematics. Based from the computed t-value which was compared to critical p-value, there was a highly significant difference in the performance of selected Grade 5 learners. This shown that the use of ROPE and RACE board game was effective. This study is limited to 20 struggling learners in grade 5 in performing the fourfundamental operations and got the score of 20 and below. It covered the second quarter of the school year 2021-2022. With this implication in the educative process, the use of ingenious board game, ROPE and RACE, gives mastery to learners in performing the four-fundamental operations. The mechanics of the board game commit the mathematical skills and ability of the selected 20 Grade 5 learners in mastering the four-fundamental operations in mathematics. As a result, the intervention was effective and highly proposed.

γ-Aminobutyric acids (GABA) and serum GABA/AABA (G/A) ratio as potential biomarkers of physical performance and aging

Declining physical performance with age and disease is an important indicator of declining health. Biomarkers that identify declining physical performance would be useful in predicting treatment outcomes and identifying potential therapeutics. γ-aminobutyric acid (GABA), a muscle autocrine factor, is a potent inhibitor of muscle function and works as a muscle relaxant. L-α-aminobutyric acid (L-AABA) is a biomarker for malnutrition, liver damage, and depression. We sought to determine if GABA and L-AABA may be useful for predicting physical performance. Serum levels of GABA and L-AABA were quantified in 120 individuals divided by age, sex, and physical capacity into low, average, and high performer groups. Analyses explored correlations between serum levels and physical performance. Both GABA and the ratio of GABA/AABA (G/A), but not AABA, were highly positively associated with age (Pearson correlations r = 0.35, p = 0.0001 for GABA, r = 0.31, p = 0.0007 for G/A, n = 120). GABA showed negative associations in the whole cohort with physical performance [fast gait speed, 6 min walk test (6MWT), PROMIS score, and SF36PFS raw score] and with subtotal and femoral neck bone mineral density. L-AABA was positively associated with usual gait speed, 6MWT, total SPPB score, and SF36PFS raw score in the total cohort of 120 human subjects, also with 6MWT and SF36PFS raw score in the 60 male subjects, but no associations were observed in the 60 females. As both GABA and L-AABA appear to be indicative of physical performance, but in opposite directions, we examined the G/A ratio. Unlike GABA, the G/A ratio showed a more distinct association with mobility tests such as total SPPB score, usual and fast gait speed, 6MWT, and SF36PFS raw score in the males, regardless of age and metabolic status. Serum G/A ratio could be potentially linked to physical performance in the male population. Our findings strongly suggest that GABA, L-AABA, and the G/A ratio in human serum may be useful markers for both age and physical function. These new biomarkers may significantly enhance the goal of identifying universal biomarkers to accurately predict physical performance and the beneficial effects of exercise training for older adults.

Hospital Performance Under Alternative Readmission Measures Incorporating Observation Stays.

To determine the extent to which counting observation stays changes hospital performance on 30-day readmission measures. This was a retrospective study of inpatient admissions and observation stays among fee-for-service Medicare enrollees in 2017. We generated 3 specifications of 30-day risk-standardized readmissions measures: the hospital-wide readmission (HWR) measure utilized by the Centers for Medicare and Medicaid Services, which captures inpatient readmissions within 30 days of inpatient discharge; an expanded HWR measure, which captures any unplanned hospitalization (inpatient admission or observation stay) within 30 days of inpatient discharge; an all-hospitalization readmission (AHR) measure, which captures any unplanned hospitalization following any hospital discharge (observation stays are included in both the numerator and denominator of the measure). Estimated excess readmissions for hospitals were compared across the 3 measures. High performers were defined as those with a lower-than-expected number of readmissions whereas low performers had higher-than-expected or excess readmissions. Multivariable logistic regression identified hospital characteristics associated with worse performance under the measures that included observation stays. Our sample had 2586 hospitals with 5,749,779 hospitalizations. Observation stays ranged from 0% to 41.7% of total hospitalizations. Mean (SD) readmission rates were 16.6% (5.4) for the HWR, 18.5% (5.7) for the expanded HWR, and 17.9% (5.7) in the all-hospitalization readmission measure. Approximately 1 in 7 hospitals (14.9%) would switch from being classified as a high performer to a low performer or vice-versa if observation stays were fully included in the calculation of readmission rates. Safety-net hospitals and those with a higher propensity to use observation would perform significantly worse. Fully incorporating observation stays in readmission measures would substantially change performance in value-based programs for safety-net hospitals and hospitals with high rates of observation stays.

Investigation of the relationship between lower extremity functional performance of American football players and their anthropometric characteristics and jump test results

Objective: Hop tests have well-known benefits when evaluating the rehabilitation process after sports injuries. However, utilization of hop tests to evaluate functional athletic performance of healthy athletes is currently uncertain and is not common in clinical practice. This study aimed to investigate the relationships between hop performance, their symmetries and functional test performance in American Football (AmF) players. Materials and Methods: Twenty-six collegiate AmF players aged 20.9±2.5 years participated in this study. According to their playing positions, players categorized as Skill Players (SP), Big Skill Players (BSP) and Linemen (LM). Body Mass Index (BMI) and body fat ratio were measured. Then, subjects were performed hop tests and 10-yards Lower Extremity Functional Test (LEFT). Players were also analysed by dividing into low and high performers for LEFT, according to their LEFT test duration. Results: Hop test performance of the SP was superior to LM for SLH, TH, and CH. The performance of BSP was inferior to SP for CH, and was superior to LM for SLH. In LEFT, the SP group was significantly faster than LM. For LEFT, TH, CH and 6H test results were significantly different between low and high performer players. Conclusion: Hop tests may be utilized to evaluate the functional athletic performance of AmF players. Physical characteristics and playing positions should also be considered. Symmetry had no effect on LEFT.

The Environmental Sustainability of the European Union Countries: Collective Identity as a Stratum for Decarbonization

To stay within a ‘well below 2°C’ climate change track, the Paris Agreement and goal 13 of the Sustainable Development Goals (SDGs) call for climate action – a global decrease in Green House Gas (GHG) emissions. Arguments in this study are derived from the hypothesis that a collective identity among the EU states would foster collective actions toward reducing global warming. Thus, the objective of this study is to explore how different EU countries (Poland, Italy, and Germany) employ three decarbonization pillars: waste recycling, eco-innovation, and policy innovation (WEP) as a yardstick to mitigate global warming and attain the EU’s ‘net-zero’ emissions by 2050. The study also utilizes annual data collected from the Eurostat indicator from 2014 to 2020. The findings reveal that Germany has the most successful average recycling rate in Europe; 65.5% of the country’s domestic waste is either recycled or reused. On the other hand, Poland is a low performer in eco-innovation. Additionally, an analysis of policy regulations reveals that both Germany and Italy can comply with the policy and regulations of the EU on carbon neutrality. At the same time, Poland, on the other hand, lacks the commitment to carbon neutrality due to its reliance on carbon-intensive coal. Therefore, this study recommends translating EU climatic laws in their simplest forms into local laws. More so, citizens’ behaviour will be further influenced toward environmental sustainability by this collective mindset.

Surveying the Middle Ground: A Thematic Analysis of the Medical School Applications of Standard Performers

As gatekeepers to the medical profession, admissions committees make important decisions through the analysis of quantitative (e.g. test scores and grade point averages) and qualitative (e.g. letters of recommendation and personal statements) data. One area of the application that deserves additional study is the Work and Activities section, where students describe their extracurricular experiences. Previous research has found different themes that sometimes overlap in the applications of exceptional performing and low performing medical students, but it is unclear if these themes are present in the applications of standard performers.An exceptional performing medical student is defined as one who was inducted into both the Alpha Omega Alpha Honor Medical Society and the Gold Humanism Honor Society. A low performing medical student is one who was referred to the Student Promotions Committee (SPC) where an administrative action was made. A standard performing medical student is defined as someone who was neither a member of an honor society nor referred to the SPC during medical school. Using a constant comparative method, the applications of standard performers who graduated from the Uniformed Services University between 2017 and 2019 was assessed using exceptional performer themes (success in a practiced activity, altruism, teamwork, entrepreneurship, wisdom, passion, and perseverance) and low performer themes (witnessing teamwork, embellishment of achievement, and description of a future event). The presence of novel themes was also assessed. The absolute number of themes and the diversity of themes were determined. Demographic data were collected (age, gender, number of Medical School Admissions Test [MCAT] attempts, highest MCAT score, and cumulative undergraduate grade point average), and descriptive statistics was performed.A total of 327 standard performers were identified between 2017 and 2019. No novel themes were found after coding 20 applications. All exceptional performer themes were identified in the population of standard performers. The low performing theme of embellishment of achievement was not found. Standard performers had a lower number of total exceptional performer themes and a lower diversity of exceptional performer themes compared to low and exceptional performers, but standard performers also had a lower number and less diversity of low performing themes compared to low performers.This study suggests that the diversity and frequency of exceptional performing themes in a medical school application may be useful in distinguishing between exceptional performers and other performers, though the small sample size limits quantitative conclusions. Low performing themes may be specific to low performers and thus could be useful to admissions committees. Future studies should include a larger sample size and could assess for predictive validity evidence of these exceptional performing and low performing themes through a blinded protocol.

Abstract B126: Examining Medicaid-serving primary care teams and delivery context on quality of care transitions to oncology: Implications for health equity

Abstract Purpose: Care transitions, from primary care to oncology, for Medicaid enrollees are understudied and likely contribute to quality and outcome disparities. We explore multi-team systems (MTS) (care coordination tasks and teamwork) to understand variations in breast and colorectal cancer care transitions in Medicaid-serving clinics. Methods and Materials: We conducted a comparative case study of three purposively recruited primary care clinics in New Jersey, based on clinic-level care transition performance (Medicaid enrollees’ receipt of guideline-concordant treatment). Site evaluations, conducted in 2019-2020, included observation (2-3 days) and interviews. Insights into performance variation emerged from a two-phase analytic approach. Results: Performance variations may stem from adaptations of MTS inputs and processes based on contextual factors (i.e., business model, clinic culture). Clinic 1 (average performer), part of a multi-site safety-net clinic system, mainly teamed outside of their organization, relying on designated roles, protocol-based care, and quality improvement informed by within team metrics. Clinic 2 (high performer), part of a for-profit health system, remained mission driven to improve urban health, teamed exclusively with internal teams with electronically enabled between team information exchange, and health system wide quality improvement efforts. Clinic 3, (low performer), a physician-owned private practice with minimal teaming, accepted Medicaid enrollees to diversify their payer mix and relied on referral-based care with limited consideration of social barriers. Conclusion: MTS’s adapt their care coordination in response to context. Addressing disparities in cancer care coordination for Medicaid populations should prioritize the implementation of policy that leverage clinic attributes and the boundary status of interdependent teams. Citation Format: Denalee M. O'Malley, Michelle Doose, Jenna Howard, Joel C. Cantor, Benjamin F. Crabtree, Jennifer Tsui. Examining Medicaid-serving primary care teams and delivery context on quality of care transitions to oncology: Implications for health equity [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr B126.

Understanding the Impact of Medicaid-Serving Primary Care Team Functioning and Clinical Context on Cancer Care Treatment Quality: Implications for Addressing Structural Inequities.

Primary care factors related to Medicaid enrollees' receipt of guideline concordant cancer treatment is understudied; however, team structure and processes likely affect care disparities. We explore Medicaid-serving primary care teams functioning within multiteam systems to understand performance variations in quality of breast and colorectal cancer care. We conducted a comparative case study, using critical case sampling of primary care clinics in New Jersey, to provide maximum variation on clinic-level care performance rates (Medicaid enrollees' receipt of guideline-concordant treatment). Site evaluations, conducted from 2019 to 2020, included observation (2-3 days) and interviews. Using a multistep analytic process, we explored contextual factors within primary care that may contribute to cancer care performance variations. We identified performance variations stemming from adaptations of multiteam system inputs and processes on the basis of contextual factors (ie, business model, clinic culture). Team 1 (average performer), part of a multisite safety-net clinic system, mainly teamed outside their organization, relying on designated roles, protocol-based care, and quality improvement informed by within-team metrics. Team 2 (high performer), part of a for-profit health system, remained mission-driven to improve urban health, teamed exclusively with internal teams through electronically enabled information exchange and health system-wide quality improvement efforts. Team 3 (low performer), a physician-owned private practice with minimal teaming, accepted Medicaid enrollees to diversify their payer mix and relied on referral-based care with limited consideration of social barriers. Primary care team structures and processes variations may (in part) explain performance variations. Future research aiming to improve care quality for Medicaid populations should consider primary care teams' capacity and context in relation to composite teams to support care quality improvements in subsequent prospective trials.

The Patient's Voice in Assessing Resident Communication Skills

To generate validity evidence for using patient-reported satisfaction ratings of residents' communication skills to determine progress along the Interpersonal and Communication Skills (ICS) Milestones. A single-institution, retrospective study analyzed a CAHPS Clinician and Group Survey (CG-CAHPS) database which collects inpatients' ratings of residents' communication skills using 6 questions on a scale of 1 (very poor) to 5 (very good). CG-CAHPS results for each resident were averaged for each question as well as across the 6 questions. The averaged ratings were compared between low and high performer groups. A large, academic, mid-western General Surgery residency program. General Surgery residents with 3 or more survey responses from July 2020 to June 2021 were included. Residents were dichotomized into low or high performer groups based on their end-of-year ICS1 sub-competency milestone within their post-graduate year (PGY) cohort. 543 CG-CAHPS responses across 44 residents were analyzed with a median of 9 (Interquartile range 6, 17) responses per resident. When residents were compared based on PGY, ratings for the question "resident's knowledge about your medical care of condition" demonstrated statistically significant differences with PGY5s receiving the lowest score (p = 0.05). PGY5s received the lowest averaged ratings across all questions (p = 0.08, η2 = 0.10). When residents were dichotomized into low (n = 21) and high performer groups (n = 23) based on ICS1 milestones, statistically significant differences were noted in ratings for the questions "concern the resident showed for your questions or worries" (4.81 vs. 5, p = 0.047) and "courtesy and respect of the resident" (4.75 vs. 5, p = 0.046). Analysis of patient ratings of surgery residents' communication skills demonstrated concordant findings between ICS1 milestone and 2 domains of CG-CAHPS responses. When low and high performer groups were compared, CG-CAHPS responses demonstrated a similar pattern. These findings provide validity evidence for CG-CAHPS data as a source of information for ICS1 sub-competency assessment.

The pairs training effect in unfamiliar face matching.

A wealth of studies have shown that humans are remarkably poor at determining whether two face images show the same person or not (face matching). Given the prevalence of photo-ID, and the fact that people employed to check photo-ID are typically unfamiliar with the person pictured, there is a need to improve unfamiliar face matching accuracy. One method of improvement is to have participants complete the task in a pair, which results in subsequent improvements in the low performer (“the pairs training effect”). Here, we sought to replicate the original finding, to test the longevity of the pairs training effect, and to shed light on the potential underlying mechanisms. In two experiments, we replicated the pairs training effect and showed it is maintained after a delay (Experiment 1). We found no differences between high and low performers in confidence (Experiment 1) or response times (Experiment 2), and the content of the pairs’ discussions (Experiment 2) did not explain the results. The pairs training effect in unfamiliar face matching is robust, but the mechanisms underlying the effects remain as yet unexplained.

Short text classification for Arabic social media tweets

With the rapid growth in the number of tweets published daily on Twitter, automated classification of tweets becomes necessary for broad diverse applications (e.g., information retrieval, topic labeling, sentiment analysis, rumors detection) to better understand what these tweets are, and what the users are expressing in this social platform. Text classification is the process of assigning one or more pre-defined categories to text according to its content. Tweets are short, and the short text does not have enough contextual information, which is part of the challenge in their classification. Adding to the challenge is the increase in ambiguity since the diacritical marking is not explicitly specified in most Modern Standard Arabic (MSA) texts. Not to mention the Arabic tweets are known to contain fused text of MSA and dialectal Arabic. In this paper, we propose a scheme to classify the textual tweets in the Arabic language based on its linguistic characteristics and content into five different categories. We explore two different textual representations: word embedding using Word2vec and stemmed text with term frequency-inverse document frequency (tf-idf). We tested three different classifiers: Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), and Random Forest (RF). All the classifiers had their hyperparameters tuned. We collected and manually annotated a dataset of approximately 35,600 Arabic tweets for the experiments. Statistically, the RF and the SVM with radial basis function (RBF) kernel performed equally well when used with stemming and tf-idf, achieving macro-F1 scores ranging between 98.09% and 98.14%. The GNB with word embedding was disappointingly low performer. Our result tops the current state-of-the-art score of 92.95% using a deep learning approach, RNN-GRU (recurrent neural network-gated recurrent unit).

In their own words: a comparison of the medical school applications of low and exceptional performing students

Background: Medical school admissions committees cannot predict performance. Previous research has studied whether standardized test scores, grade point averages, or letters of recommendation portend success, but an applicant’s reporting of their past experiences and activities has not been well studied. This research aimed to determine the themes present in the applications of low performing medical students and to compare these themes with those in the applications of exceptional performers. Methods: The authors performed a qualitative analysis of the Work and Activities section of the American Medical College Application Service application in low performing medical students (those referred to the student promotions committee where an administrative action occurred). A constant-comparative approach was used that applied an a priori thematic framework developed in exceptional students (those inducted into the Alpha Omega Alpha honor society and Gold Humanism Honor Society). Frequencies of themes were counted and compared in each population by calculating the absolute number of themes and the diversity of themes per applicant. Results: Thirty-nine students met the definition of low performer in graduation years 2017 to 2019. Thematic saturation occurred after 18 applications; 21 files were reviewed. All seven themes present in exceptional performers (teamwork, altruism, success in a practiced activity, wisdom, passion, entrepreneurship, and perseverance) were present in low performers, although at lower frequencies. Three low performer themes were found: witnessing teamwork, description of a future event, and embellishment of achievement. Conclusions: Experience descriptions that prospective students write may predict future performance and could be used by admission committees to inform entry decisions into medical school. Low performers had comparatively lower frequencies of every exceptional performer theme; the difference was most notable in the “perseverance” and “success in a practiced activity” themes. Unique themes were found in low performers. Further studies are recommended to enhance the generalizability of these results.

Not all smokers are alike: the hidden cost of sustained attention during nicotine abstinence

Nicotine Withdrawal Syndrome (NWS)-associated cognitive deficits are notably heterogeneous, suggesting underlying endophenotypic variance. However, parsing this variance in smokers has remained challenging. In this study, we identified smoker subgroups based on response accuracy during a Parametric Flanker Task (PFT) and then characterized distinct neuroimaging endophenotypes using a nicotine state manipulation. Smokers completed the PFT in two fMRI sessions (nicotine sated, abstinent). Based on response accuracy in the stressful, high cognitive demand PFT condition, smokers split into high (HTP, n = 21) and low task performer (LTP, n = 24) subgroups. Behaviorally, HTPs showed greater response accuracy (88.68% ± 5.19 SD) vs. LTPs (51.04% ± 4.72 SD), independent of nicotine state, and greater vulnerability to abstinence-induced errors of omission (EOm, p = 0.01). Neurobiologically, HTPs showed greater BOLD responses in attentional control brain regions, including bilateral insula, dorsal ACC, and frontoparietal Cx for the [correct responses (–) errors of commission] PFT contrast in both states. A whole-brain functional connectivity (FC) analysis with these subgroup-derived regions as seeds identified two circuits: Precentral Cx↔Insula and Insula↔Occipital Cx, with abstinence-induced FC strength increases seen only in HTPs. Finally, abstinence-induced FC and behavior (EOm) differences were positively correlated for HTPs in a Precentral Cx↔Orbitofrontal cortical circuit. In sum, only the HTP subgroup demonstrated sustained attention deficits following 48-hr nicotine abstinence, a stressor in dependent smokers. Unpacking underlying smoker heterogeneity with this ‘dual (task and abstinence) stressor’ approach revealed discrete smoker subgroups with differential attentional deficits to withdrawal that could be novel pharmacological/behavioral targets for therapeutic interventions to improve cessation outcomes.

Simulator-Based Metrics for Quantifying Vascular Palpation Skill for Cannulation

Palpation is essential for accurate diagnosis and treatment in many clinical examinations and procedures. Specifically, vascular palpation is used to diagnose cardiovascular health issues and identify anatomical landmarks in the peripheral vascular system. However, little attention has been given to quantifying what comprises skilled vascular palpation; therefore, this study aims to objectively quantify the differences between high performer (HP), mid performer (MP), and low performer (LP) behavior towards understanding vascular palpation skills. Eleven HPs, twenty-five MPs, and ten LPs completed sixteen trials on our simulator under various conditions. There were four fistulas, two skin thicknesses, and two motor vibration intensities. Finger force and location data were recorded for each trial on the simulator. We examined three types of palpation metrics: time, force, and location. All three types of metrics demonstrated statistically significant differences between HP and LP palpation behavior. Therefore, these metrics could be used for structured and standardized palpation skills training in the future, potentially improving patient outcomes.

A REPETITION OF COMPARATIVE STUDY OF REASONING AND NUERICALABILITY OF HIGH AND LOW PERFORMER OF IX STANDARD STUDENTS

"A Comparative Study of reasoning and Numerical Ability of High and Low performer of IX Standard Students" is the title of the current study. In the current study, the researcher gathered data from a sample of 374 IX-grade children enrolled in schools in Ahmedabad, Gujarat, that are associated with the C.B.S.E. and G.S.E.B. Dr. K.H. Yadav's standardized tool, which was used to collect the data, was used. The method used to acquire the data was a survey. The statistical method, which uses the t-test, mean, and standard deviation to interpret the data, was used. Finally, a resolution was reached and the outcomes were made known.

Validity and reliability of beck depression inventory (BDI) bahasa melayu version

This pilot study was conducted to test the reliability and validity of the instrument to be used to assess the level of depression among public servants in the state of Selangor, Malaysia. The instrument used is the Beck Depression Inventory Bahasa Melayu Version. This instrument has two parts: Part A collects the demographic information and Part B has 21 items to measure depression. Although the basis of the existence of BDI is for use in clinical settings, there are many studies which have used BDI in non-clinical settings such as among university students and the general public. The BDI is empirically proven to be fit for use in both settings. A total of 30 public servants, who have been identified as a low performer at the Office of the State Secretary of Selangor, participated in this study. The Rasch Measurement Model using the Winsteps software version 3.72.3 was used to analyse the results. This Rasch analysis has shown that the reliability index of the Respondent obtained was 0.76 and the item reliability index was 0.83.

Classifying top economists using archetypoid analysis

ABSTRACT Updating the study by Seiler and Wohlrabe (2013) we use archetypoid analysis to classify top economists. The approach allows us to identify typical characteristics of extreme (archetypal) values in a multivariate data set. In contrast to its predecessor, the archetypal analysis, archetypoids always represent actual observed units in the data. Using bibliometric data from 776 top economists we identify four archetypoids. These types represent solid, low, top and diligent performer. Each economist is assigned to one or more of these archetypoids.