Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance
Understanding what (and to what extent) psychological factors affect university performance has attracted a lot of research interest recently. In this paper, we use logistic regression models to study the incremental predictive power of positive psychological factors over pre-enrollment achievement...
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doaj-5c21d6aae0f84851abf893d3d6fd85242021-02-17T00:02:05ZengMDPI AGApplied Sciences2076-34172021-02-01111744174410.3390/app11041744Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic PerformanceBeatrix Séllei0Nóra Stumphauser1Roland Molontay2Budapest University of Technology and Economics, Department of Ergonomics and Psychology Magyar tudósok körútja 2, 1111 Budapest, HungaryBudapest University of Technology and Economics, Department of Ergonomics and Psychology Magyar tudósok körútja 2, 1111 Budapest, HungaryBudapest University of Technology and Economics, Department of Ergonomics and Psychology Magyar tudósok körútja 2, 1111 Budapest, HungaryUnderstanding what (and to what extent) psychological factors affect university performance has attracted a lot of research interest recently. In this paper, we use logistic regression models to study the incremental predictive power of positive psychological factors over pre-enrollment achievement measures on academic performance. The study is based on the data of 302 business and economics undergraduate students from the Budapest University of Technology and Economics. Coping proved to be the most important factor that sheds light on the importance of stress management for students. We also found that using properly chosen psychological factors measuring coping, personality traits, psychological immune system, emotional intelligence, and PERMA (P—positive emotion, E—engagement, R—relationships, M—meaning, A—accomplishments) factors, together with the university entrance score and academic performance can be predicted significantly better than solely relying on pre-enrollment achievement measures.https://www.mdpi.com/2076-3417/11/4/1744university performanceincremental predictive powerpredictive analysispre-enrollment achievement measurespersonality traitspsychological factors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Beatrix Séllei Nóra Stumphauser Roland Molontay |
spellingShingle |
Beatrix Séllei Nóra Stumphauser Roland Molontay Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance Applied Sciences university performance incremental predictive power predictive analysis pre-enrollment achievement measures personality traits psychological factors |
author_facet |
Beatrix Séllei Nóra Stumphauser Roland Molontay |
author_sort |
Beatrix Séllei |
title |
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance |
title_short |
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance |
title_full |
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance |
title_fullStr |
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance |
title_full_unstemmed |
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance |
title_sort |
traits versus grades—the incremental predictive power of positive psychological factors over pre-enrollment achievement measures on academic performance |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-02-01 |
description |
Understanding what (and to what extent) psychological factors affect university performance has attracted a lot of research interest recently. In this paper, we use logistic regression models to study the incremental predictive power of positive psychological factors over pre-enrollment achievement measures on academic performance. The study is based on the data of 302 business and economics undergraduate students from the Budapest University of Technology and Economics. Coping proved to be the most important factor that sheds light on the importance of stress management for students. We also found that using properly chosen psychological factors measuring coping, personality traits, psychological immune system, emotional intelligence, and PERMA (P—positive emotion, E—engagement, R—relationships, M—meaning, A—accomplishments) factors, together with the university entrance score and academic performance can be predicted significantly better than solely relying on pre-enrollment achievement measures. |
topic |
university performance incremental predictive power predictive analysis pre-enrollment achievement measures personality traits psychological factors |
url |
https://www.mdpi.com/2076-3417/11/4/1744 |
work_keys_str_mv |
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