Administrative data analysis of student attrition in hungarian medical training

Abstract

Background There is numerous empirical evidence supporting that college students studying in fields with rigorous curriculum and high requirements, such as medical training, are characterized by a higher risk of attrition than their peers. Since Hungarian medical training attracts more and more international students every year, the issue of dropout can have a global impact. Our study aimed to examine attrition risks of local and international students in Hungarian medical training. Methods In our study, we examined the dropout behaviour of all medical students who started their studies in 2010 in Hungary (N = 2391) by analysing longitudinal administrative data of those who studied between 2010 and 2017. Doing this, we conducted descriptive statistics and uncovered the risks of dropout using binary logistic regression. Results Our results indicate that the danger is primarily increased by factors directly linked to or indicating poor academic performance (slow pace of credit accumulation, tuition-based forms of finance). Individual characteristics, namely gender, and citizenship, also have a moderate but significant effect on the latter. Conclusions Thus a policy proposal can be formulated consisting of making the training network less rigid, devoting more educational attention to and providing targeted mentoring for students with learning difficulties and academic hardships. Foreign medical students studying in Hungary comprise a large group that has a high attrition rate, making it a prime target for dropout-reducing programs.

Stratified Student Society in Higher Education Fields. Impact of Expected Earning on Students' Career

“…In contrast, students in the bottom third of the sample reported that they were less influenced by the above-mentioned people (Table 7). However, the literature suggests that environmental influences (family, reference groups, culture) are directly or indirectly influential, regardless of how the student perceives or interprets them (Kotler, 1999;Rámháp et al, 2017;Tódor, 2022). Education researchers have found, based on data from quantitative research in the Partium region, that the main motivation for enrolling in higher education is a thirst for knowledge, in addition to the hope of better labour market opportunities Kovács et al, 2019).…”

A felvételi pontszám előrejelző ereje az egyetemi sikerességre

“…Ennek csökkentése költségoptimalizálási célból nemcsak az egyetemeknek, hanem a hallgatóknak is érdekében áll (Behr és mtsai, 2020). A téma nemzeti (D. Molnár és Gál, 2019;Fenyves, 2017;Fónai, 2018;Molnár és mtsai, 2021;Pusztai, 2019aPusztai, , 2019bPusztai, , 2022 és nemzetközi téren (Alyahyan és Düştegör, 2020;Van Rooij és mtsai, 2018;York és mtsai, 2015) is kutatott, mégis a munkaerőpiac folyamatos alakulása (Molnár, 2019), az egyetem-középiskola közti önállóság-és tanulmánybeli különbözőség (Clercq és mtsai, 2020), az egyetemmel kapcsolatos elvárások és a társadalmi környezet folyamatos változása (Behr és mtsai, 2021;Naaman, 2021;Marinela és mtsai, 2020) egyaránt indokolttá teszi a lehetséges befolyásoló tényezők folyamatos monitorozását, azonosítását. A jelenség komplexitása, a kontextuális tényezők dinamikus változása miatt folyamatos kutatást igényel az okok feltárása, majd a kutatási eredmények gyakorlatban történő alkalmazása (Tinto, 2006).…”