<abstract xmlns="http://www.w3.org/1999/xhtml">The current research explores the influence of multiple factors (such as class attendance, previous academic performance, in-class involvement and attention, class schedule, gender and other control variables) on the academic performance of public-administration undergraduate students. The regression models developed based on the academic literature were tested on a sample of 1st-year students (N = 115) enrolled in the Public Administration bachelor program of Babeș-Bolyai University (Cluj-Napoca) in order to explain their performance (grade) in a final examination. Since none of the variables included in the model are self-reported (i.e. classic self-administered questionnaires) we have reduced the potential that social desirability bias could influence our results, thus strengthening the reliability and robustness of our findings.Our results show that the main factors which can influence students’ academic performance are attendance at seminars and in-class involvement. All other factors which were included in the regression model (age, gender, distance between class site and their home, residence in urban or rural environment, attention and motivation, class schedule and four proxies / measures for previous performance) were either not statistically significant in any of the models or showed an inconsistent / unstable influence on academic performance.These results can be of interest not only for Public Administration scholars, but also for university decision makers. As such, starting from the aforementioned findings and the literature, we also propose and discuss specific measures, which can be adopted by faculty-level decision makers in order to help students improve their academic performance and ensure better educational outcomes, especially in regard to the admission criteria currently in place.<bold>Points for practitioners</bold>The research investigates, among other potential factors, whether class attendance influences performance regardless of other individual characteristics. In doing so, the research tries to provide an answer to the ongoing debate on the usefulness of compulsory attendance at lectures and seminars in higher education. Furthermore, by observing the influence of previous performance (during high school) on current academic performance, the research can identify more adequate admission criteria, which can be used by university decision makers to ensure a better selection of candidates, thus potentially decreasing dropout rates.</abstract>

The current research explores the influence of multiple factors (such as class attendance, previous academic performance, in-class involvement and attention, class schedule, gender and other control variables) on the academic performance of public-administration undergraduate students. The regression models developed based on the academic literature were tested on a sample of 1st-year students (N = 115) enrolled in the Public Administration bachelor program of Babeș-Bolyai University (Cluj-Napoca) in order to explain their performance (grade) in a final examination. Since none of the variables included in the model are self-reported (i.e. classic self-administered questionnaires) we have reduced the potential that social desirability bias could influence our results, thus strengthening the reliability and robustness of our findings.Our results show that the main factors which can influence students’ academic performance are attendance at seminars and in-class involvement. All other factors which were included in the regression model (age, gender, distance between class site and their home, residence in urban or rural environment, attention and motivation, class schedule and four proxies / measures for previous performance) were either not statistically significant in any of the models or showed an inconsistent / unstable influence on academic performance.These results can be of interest not only for Public Administration scholars, but also for university decision makers. As such, starting from the aforementioned findings and the literature, we also propose and discuss specific measures, which can be adopted by faculty-level decision makers in order to help students improve their academic performance and ensure better educational outcomes, especially in regard to the admission criteria currently in place.Points for practitionersThe research investigates, among other potential factors, whether class attendance influences performance regardless of other individual characteristics. In doing so, the research tries to provide an answer to the ongoing debate on the usefulness of compulsory attendance at lectures and seminars in higher education. Furthermore, by observing the influence of previous performance (during high school) on current academic performance, the research can identify more adequate admission criteria, which can be used by university decision makers to ensure a better selection of candidates, thus potentially decreasing dropout rates.

Why some Fail and others Succeed: Explaining the Academic Performance of PA Undergraduate Students

NISPAcee Journal of Public Administration and Policy

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The current research explores the influence of multiple factors (such as class attendance, previous academic performance, in-class involvement and attention,...

Why some Fail and others Succeed: Explaining the Academic Performance of PA Undergraduate Students

Publié en ligne: 02 juin 2020

Pages: 109 - 132

DOI: https://doi.org/10.2478/nispa-2020-0005

Mots clés
academic performance, undergraduate students, grades, regression analysis, PA studies, Romania

© 2020 Alina Maria Pavelea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Why some Fail and others Succeed: Explaining the Academic Performance of PA Undergraduate Students

Publié en ligne: 02 juin 2020

Pages: 109 - 132

DOI: https://doi.org/10.2478/nispa-2020-0005

Mots clésacademic performance, undergraduate students, grades, regression analysis, PA studies, Romania

© 2020 Alina Maria Pavelea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
academic performance, undergraduate students, grades, regression analysis, PA studies, Romania