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

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  • Pavelea Alina Maria

    (Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Romania.)

  • Moldovan Octavian

    (Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Romania.)

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.

Suggested Citation

  • Pavelea Alina Maria & Moldovan Octavian, 2020. "Why some Fail and others Succeed: Explaining the Academic Performance of PA Undergraduate Students," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 13(1), pages 109-132, June.
  • Handle: RePEc:vrs:njopap:v:13:y:2020:i:1:p:109-132:n:5
    DOI: 10.2478/nispa-2020-0005
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    References listed on IDEAS

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    1. Kutergina Evgeniia, 2017. "Computer-Based Simulation Games in Public Administration Education," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 10(2), pages 119-133, December.
    2. David Romer, 1993. "Do Students Go to Class? Should They?," Journal of Economic Perspectives, American Economic Association, vol. 7(3), pages 167-174, Summer.
    3. Pevcin Primož & Špaček David & Klimovský Daniel, 2019. "Public Administration Education in the CEE Countries: How has it Developed during the Recent Decades ?," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 12(2), pages 217-232, December.
    4. Scott E. Carrell & Teny Maghakian & James E. West, 2011. "A's from Zzzz's? The Causal Effect of School Start Time on the Academic Achievement of Adolescents," American Economic Journal: Economic Policy, American Economic Association, vol. 3(3), pages 62-81, August.
    5. Jennjou Chen & Tsui-Fang Lin, 2008. "Class Attendance and Exam Performance: A Randomized Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(3), pages 213-227, July.
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    1. Miguel Angel Valles-Coral & Luis Salazar-Ramírez & Richard Injante & Edwin Augusto Hernandez-Torres & Juan Juárez-Díaz & Jorge Raul Navarro-Cabrera & Lloy Pinedo & Pierre Vidaurre-Rojas, 2022. "Density-Based Unsupervised Learning Algorithm to Categorize College Students into Dropout Risk Levels," Data, MDPI, vol. 7(11), pages 1-18, November.

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