scholarly journals Admission Criteria for MBA Programs

SAGE Open ◽  
2016 ◽  
Vol 6 (4) ◽  
pp. 215824401666939 ◽  
Author(s):  
Silvana Dakduk ◽  
José Malavé ◽  
Carmen Cecilia Torres ◽  
Hugo Montesinos ◽  
Laura Michelena

This paper reports a review of studies on admission criteria for MBA programs. The method consisted in a literary review based on a systematic search in international databases (Emerald, ABI/INFORM Global, ProQuest Education Journals, ProQuest European Business, ProQuest Science Journal, ProQuest Research Library, ProQuest Psychology Journals, ProQuest Social Science Journals and Business Source Complete) of studies published from January 1990 to December 2013, which explore the academic performance of students or graduates of MBA programs. A quantitative review was performed. Results show that most researchers studied relations between GMAT (Graduate Management Admission Test) and UGPA (Undergraduate Grade Point Average) as predictors of GGPA (Graduate Grade Point Average). On the other hand, work experience and personal traits (such as personality, motivation, learning strategies, self-efficacy beliefs and achievement expectations) and their relation with GGPA had been less studied, and results are not consistent enough to consider them valid predictors of student performance at this time.

1993 ◽  
Vol 18 (1) ◽  
pp. 91-107 ◽  
Author(s):  
Rebecca Zwick

A validity study was conducted to examine the degree to which GMAT scores and undergraduate grade-point average (UGPA) could predict first-year average (FYA) and final grade-point average in doctoral programs in business. A variety of empirical Bayes regression models, some of which took into account possible differences in regressions across schools and cohorts, were investigated for this purpose. Indexes of model fit showed that the most parsimonious model, which did not allow for school or cohort effects, was just as useful for prediction as the more complex models. The three preadmissions measures were found to be associated with graduate school grades, though to a lesser degree than in MBA programs. The prediction achieved using UGPA alone as a predictor tended to be more accurate than that obtained using GMAT verbal (GMATV) and GMAT quantitative (GMATQ) scores together. Including all three predictors was more effective than using only UGPA. The most likely explanation for the lower levels of prediction than in MBA programs is that doctoral programs tend to be more selective. Within-school means on GMATV, GMATQ, UGPA, and FYA were higher than those found in MBA validity studies; within-school standard deviations on FYA tended to be smaller. Among these very select, academically competent doctoral students, highly accurate prediction of grades may not be possible.


2021 ◽  
Vol 12 ◽  
Author(s):  
María Dolores Nieto ◽  
Luis Eduardo Garrido ◽  
Agustín Martínez-Molina ◽  
Francisco José Abad

The item wording (or keying) effect consists of logically inconsistent answers to positively and negatively worded items that tap into similar (but polarly opposite) content. Previous research has shown that this effect can be successfully modeled through the random intercept item factor analysis (RIIFA) model, as evidenced by the improvements in the model fit in comparison to models that only contain substantive factors. However, little is known regarding the capability of this model in recovering the uncontaminated person scores. To address this issue, the study analyzes the performance of the RIIFA approach across three types of wording effects proposed in the literature: carelessness, item verification difficulty, and acquiescence. In the context of unidimensional substantive models, four independent variables were manipulated, using Monte Carlo methods: type of wording effect, amount of wording effect, sample size, and test length. The results corroborated previous findings by showing that the RIIFA models were consistently able to account for the variance in the data, attaining an excellent fit regardless of the amount of bias. Conversely, the models without the RIIFA factor produced increasingly a poorer fit with greater amounts of wording effects. Surprisingly, however, the RIIFA models were not able to better estimate the uncontaminated person scores for any type of wording effect in comparison to the substantive unidimensional models. The simulation results were then corroborated with an empirical dataset, examining the relationship between learning strategies and personality with grade point average in undergraduate studies. The apparently paradoxical findings regarding the model fit and the recovery of the person scores are explained, considering the properties of the factor models examined.


2020 ◽  
Vol 6 (2) ◽  
pp. 39-48
Author(s):  
Gadis Retno Apsari ◽  
Mohammad Syaiful Pradana ◽  
Novita Eka Chandra

Students are the most important component in a university, especially private universities especially Universitas Islam Darul ‘ulum (Unisda) Lamongan. One of the most important roles of students for higher education is achievement. This study aims to determine the role of Fuzzy Clustering in classifying student performance data. The data includes GPA (Grade Point Average), ECCU (Extra-Curricular Credit Unit), attendance, and students' willingness to learn. So that groups of students who have the potential to have achievements can be identified. In this case, the grouping of student performance data uses Fuzzy Clustering by applying the Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) algorithms with the help of Matlab. In the FCM algorithm, the membership degree is updated so as to produce a minimum objective function value. Meanwhile, the PCM algorithm uses a T matrix, which shows the peculiarities of the data which are also based on minimizing the objective function.


2020 ◽  
Vol 5 (2) ◽  
pp. 479-488
Author(s):  
Lydia Richardson ◽  
Elizabeth Roberts ◽  
Shelley Victor

Purpose Admissions committees rely heavily on quantitative academic variables such as undergraduate grade point average (UGPA) and scores on the Graduate Record Examination (GRE). However, the ability of these factors to predict the clinical success of speech-language pathology (SLP) graduate students has not been substantiated. The purpose of the current study was to examine the relationship between academic variables (i.e., UGPA, major grade point average, GRE scores) and nonacademic variables (i.e., age, personality type, prior work experience in the field) and determine the degree to which each of these variables predicts clinical success. Method Data were extracted from academic records of 45 students enrolled in a graduate SLP program at a public institution of higher learning between 2014 and 2016. Descriptive statistics and correlation coefficients were used to identify the relationships between academic and nonacademic variables with clinical success. Results Correlation results did not identify a significant relationship between academic variables and clinical success as well as between nonacademic variables and clinical success. However, relationships between the academic variables and nonacademic variables were discovered. Predictive power of clinical success was not identified due to lack of correlations between the variables. Conclusions Academic variables (GRE, UGPA, major grade point average) nor nonacademic variables (age, personality type, previous work experience) were found to have a significant correlation to clinical success in SLP graduate students. There continues to be a lack of evidence in identifying individual variables as sole predictors for success in SLP graduate programs.


2018 ◽  
Author(s):  
◽  
Lindsay N. Kearns

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This study takes a deeper look into the factors that create school climate and culture and how those factors are perceived by students. A quantitative study was conducted by administering a survey to 199 students at one rural Midwest high school. A chi-square test was performed to determine differences between two groups; high and low-grade point average and high and low attendance. Many statistically significant findings were found especially among the low-grade point average and low attendance groups. While students appeared to be overall pleased with some areas within the school such as safety, the biggest negative impact was seen in student stress levels and lack of connections with faculty members. The results suggest that a positive climate and culture can also influence student grade point average and attendance which can further impact student performance areas that toward which educators strive.


2020 ◽  
Vol 38 (2) ◽  
pp. 453-473
Author(s):  
Nerea Larruzea-Urkixo ◽  
Maria Olga Cardeñoso Ramírez

Introducción: conocer las diferencias en los procesos de autorregulación del aprendizaje del alumnado actual es clave para la mejora de la formación en nuestras universidades. El objetivo de este estudio es analizar la variabilidad en dichos procesos en función del género, la especialidad, las notas (de acceso y de grado) y otras variables de desempeño académico. Método: participaron en el estudio 456 estudiantes (335 mujeres y 119 hombres) de los Grados en Educación Infantil y Primaria que completaron la versión en español del Motivated Strategies for Learning Questionnaire (Ramírez, Canto, Bueno & Echezarreta, 2013) junto a datos relativos al desempeño académico. Resultados: Se mostró la existencia de diferencias en aprendizaje autorregulado en función del género, pero no de la especialidad ni de la interacción entre género*especialidad. También se reveló que las alumnas poseían mayor autorregulación que los alumnos tanto en variables motivacionales como en estrategias de aprendizaje. A continuación, se hallaron diferencias en aprendizaje autorregulado en función de la nota de acceso, de grado y de la interacción género*nota de grado. Aunque de manera general estos datos confirman que “a mayor nota de acceso, mejor autorregulación”, los resultados desvelaron un declive del alumnado con mejores notas de grado en varias subescalas exceptuando en aprendizaje entre iguales. Finalmente, se mostró que las alumnas perciben la carrera con mayor dificultad, dedican más horas y presentan un mejor rendimiento académico de lo esperado. Discusión: Estas diferencias entre el alumnado deberían ser consideradas para potenciar la autorregulación en las aulas. Introduction: Identifying differences in self-regulatory processes among current students is key to improve training in our universities. The aim of this study is to analyze the variability in the aforementioned processes according to gender, teaching specialty, grades (admission grade and grade point average, GPA) and other variables related to academic performance. Method: 456 Primary Education and Early Childhood Education students participated in the study (335 women and 119 men) by completing the Spanish version of the Motivated Strategies for Learning Questionnaire (Ramírez, Canto, Bueno & Echezarreta, 2013). Results: Differences were found in self-regulated learning based on gender, but not on specialty or on the interaction between gender*specialty. It was also shown that female students had greater self-regulatory skills than male students in both motivational variables and learning strategies. Besides, differences were found in self-regulated learning according to admission grade, grade point average and the interaction gender*grade point average. Although, overall, the data obtained confirm that "the higher the admission grade, the better self-regulatory skills", results revealed a decline among students with better grades in several subscales except for peer learning. Finally, it was shown that female students have a higher awareness of the degree’s difficulty, dedicate more hours and present a better academic performance than expected. Discussion: These differences between students should be considered in order to promote self-regulation in the classroom.


2019 ◽  
pp. 22-29
Author(s):  
Van Hung Nguyen ◽  
Laohasiriwong Wongsa

Objectives: To determine the relationships between the use of self-regulated learning strategies and academic achievement among Vietnamese medical students. Methods: An accelerated prospective cohort study among 623 students at a public medical university, Vietnam was conducted during the academic year 2012-2013. Fourteen self-regulated learning subscales including intrinsic/extrinsic goal orientation, task values, self-efficacy for learning, control of learning beliefs, rehearsal, elaboration, organization, critical thinking, meta-cognitive strategies, time and study environment, effort regulation, peer learning, and help seeking were measured using the Motivated Strategies for Learning Questionnaire. The Grade Point Average was recorded through two consecutive semesters of the academic year 2012-2013. Data were collected at two points in time (once each semester). Generalized Estimating Equation was applied to explore any relationships between the use of self-regulated learning subscales and Grade Point Average, adjusting for the effects of within cluster correlation, National Medical Admission Test scores, and times of measurement, depression, anxiety, stress, and demographic covariates. Results: Results from multivariate analysis revealed that extrinsic goal orientation, time and study environment, and effort regulation were found to be significantly positively associated with Grade Point Average (mean difference: 0.932; 95%CI: 0.344 to 1.528). Conclusions: The use of self-regulated learning strategies can be helpful for improving of academic achievement among Vietnamese medical students. Key words: self-regulated learning, academic achievement, medical students, Vietnam


2016 ◽  
Vol 18 (4) ◽  
pp. 431-456 ◽  
Author(s):  
Monica L. Heller ◽  
Jerrell C. Cassady

The current study explored the differential influences that behavioral learning strategies (i.e., cognitive–metacognitive, resource management), motivational profiles, and academic anxiety appraisals have on college-level learners in two unique learning contexts. Using multivariate analysis of variance and discriminant analysis, the study first compared these variables across learners from a community college and traditional 4-year university located within the same regional area. The study also employed a series of multiple regression analyses to investigate the influence of these variables in predicting student performance outcomes (i.e., grade point average). The results illustrate that prior research on those factors most salient within student academic success prediction models within a social cognitive framework function as expected for the university population. However, the community college learner experience deviates significantly from this standard model. For the community college learner, it is the environmental factor that appears to be the most significant to predicting student success. These findings highlight those factors most influential in academic performance outcomes among diverse student populations.


2020 ◽  
Vol 77 (5) ◽  
pp. 356-364
Author(s):  
Robert D Beckett ◽  
Dustin D Linn

Abstract Purpose To develop an evidence-based tool that will provide concise guidance to pharmacy students who want to become competitive postgraduate year 1 (PGY1) residency applicants. Methods A systematic literature search was conducted to identify articles describing student or school factors and specific interventions or activities associated with improved or decreased residency match rates, as well as studies describing residency program directors’ (RPDs’) or preceptors’ perceptions of qualified applicants. An initial checklist was developed, with an item for each relevant factor. A consensus on checklist items was built through a 2-round Delphi process with a panel of RPDs. Ultimately, items that received a median score of at least 5 on a 7-point scale with less than one-third of the ratings being a 1, 2, or 3 were included. Results The initial checklist of 34 items, primarily related to grade point average, professional involvement, work experience, or professional development, was evaluated by a panel of 25 RPD participants. Six of 34 items (18%) were reevaluated in round 2, along with 1 added item and 4 items substantively modified based on comments; 2 items were merged. Ultimately, 33 items met the criteria for consensus and were included in the final checklist. Conclusion A checklist of items to guide prospective pharmacy residency applicants was developed through a systematic literature search and verified by program directors using a Delphi process.


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