• Cristina Maria BOSTAN-TOFAN
  • Alexandru-Cosmin APOSTOL
  • Răzvan-Lucian ANDRONIC
  • Tudor STANCIU
  • Adrian LUPU



trait anxiety, academic identification, early academic dropout intentions, gender, parent’s education background, education expectancies.


In this study, we test the association of academic identification (AI) and trait anxiety (TA) with early academic dropout intentions (EADI). Additionally, we test the impact of the interaction between AI and TA, while controlling for socio-demographic covariates specific to the participants, over EADI (i.e., gender, parents` education background, and educational expectancies). Our sample consisted of 439 first-year university students. We used the social identification theoretical background and results show that AI is associated with low scores of EADI. Still, the high trait anxiety context in which students find themselves in their first year is a risk factor, when AI is low or average. Results also show gender differences (i.e., men have a higher risk of EADI, compared to women). Results highlight the need to invest more in the development of AI to counter and thwart the risk of emphasizing AT for young people.

Author Biographies

Cristina Maria BOSTAN-TOFAN

 Ph. D. Research Scientist, Romanian Academy Iasi Branch, „Gheorghe Zane” Institute for Economic and Social Research and Ph. D. Assistant professor, Faculty of Philosophy and Social Political Sciences,  „Alexandru Ioan Cuza” University, Iasi, Romania, e-mail: 

Alexandru-Cosmin APOSTOL

Ph. D. Lecturer professor, Faculty of Philosophy and Social Political Sciences,  „Alexandru Ioan Cuza” University, Iasi, Romania

Răzvan-Lucian ANDRONIC

Ph. D. Associate Professor, `Henri Coanda` Air Force Academy, Romania.  


Ph. D.  Assistant professor, Department of Teacher Education, Technical University “Gh.Asachi” of Iasi (ROMANIA)

Adrian LUPU

Adrian LUPU  - Ph. D. Associate professor, Faculty of Philosophy and Social Political Sciences,

„Alexandru Ioan Cuza” University, Iasi, Romania.


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