An Empirical Analysis of College Admissions with Endogenous Entrance Exam Scores

2019 ◽  
Author(s):  
Hayri Alper Arslan
Keyword(s):  
Empirical Analysis ◽  
College Admissions ◽  
Entrance Exam ◽  
Exam Scores

scholarly journals Investigation of the Predictive Power of Academic Achievement, Learning Approaches and Self-Regulatory Learning Skills on University Entrance Exam Scores Using Path Analysis

2018 ◽  
Vol 8 (2) ◽  
pp. 114
Author(s):  
Dilek Ilhan Beyaztaş ◽  
Sakine Göçer-Şahin
Keyword(s):  
Academic Achievement ◽  
Self Regulation ◽  
Path Model ◽  
Learning Approaches ◽  
Exam Score ◽  
Strategic Learning ◽  
Learning Skills ◽  
Entrance Exam ◽  
Exam Scores ◽  
Self Regulatory Learning

A good analysis of the success factors in the university entrance exam, which is an important step for academiccareers of students, is believed to help them manage this process. Properties such as self-regulation and learningapproaches adopted by students undoubtedly influence their academic achievement as well as their success inuniversity entrance exams. However, it is not exactly known how the direct and indirect relations between thesevariables are, and which variable has more effect on success. This research aims to determine the extent to whichuniversity entrance exam score as dependant variable; and academic achievement, deep, surface and strategiclearning approaches, four sub-dimensions of self-regulatory learning skills scale as independent variables to predictuniversity entrance exam score directly and indirectly; to this end, a path model was developed. Within the scope ofthe research, the data obtained from 445 students in the 4th class of the state-affiliated high schools in the 2016-2017academic year were used. As a result of the research, the most important factor affecting the success of universityentrance exam was found to be diploma grade; while diploma grades raise by using deep learning approaches, theyfall by using surface learning approaches. It was detected that the use of the strategic learning approach reducesuniversity entrance exam scores.

An Example of Using MATLAB for Data Analysis—The Correlation between College Entrance Exam and Students’ Performance at Universities

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Zhihao Ren
Keyword(s):  
Standardized Testing ◽  
College Entrance ◽  
College Entrance Exam ◽  
Entrance Exam ◽  
Entire Cohort ◽  
Entrance Exams ◽  
Future Performance ◽  
Significant Difference ◽  
Exam Scores ◽  
The University

<p>Many universities all over the world use entrance exams as a tool for filtering and selecting applicants to their courses. While entrance exams provide a standardized testing mechanism, it is not clear whether they are a predictor of the student’s future performance at the university. As an initial investigation, the author found and analyzed a raw dataset of students’ entrance exam scores and their performance in the university during the first three semesters. The author carried out statistical analysis for the entire cohort and also according to gender. The analysis was carried out using Matlab. The analysis carried out shows that for the given dataset, there is no correlation between entrance exam scores and university scores. Also, there is no significant difference in the performance at the entrance exam and university scores, between male and female students.</p><p> </p>

An Empirical Analysis of the Obtrusiveness of and Participants' Compliance with the Electronically Activated Recorder (EAR)

2007 ◽  
Vol 23 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Matthias R. Mehl ◽  
Shannon E. Holleran
Keyword(s):  
Empirical Analysis ◽  
Sampling Method ◽  
Daily Life ◽  
Assessment Method ◽  
Data Confidentiality ◽  
Short Term ◽  
Naturally Occurring ◽  
Two Samples ◽  
Audio Recorder ◽  
Term Monitoring

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.

Tests and college admissions.

1981 ◽  
Vol 36 (10) ◽  
pp. 1112-1119 ◽  
Author(s):  
Fred Hargadon
Keyword(s):  
College Admissions

Empirical Analysis of Clinical Evaluations on Children Involved in the Child Protection System: The Role of Age and Gender

2000 ◽  
Author(s):  
Erika Felix ◽  
Anjali T. Naik-Polan ◽  
Christine Sloss ◽  
Lashaunda Poindexter ◽  
Karen S. Budd
Keyword(s):  
Empirical Analysis ◽  
Child Protection ◽  
Protection System ◽  
Age And Gender ◽  
Clinical Evaluations ◽  
And Gender
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