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Drop out is a phenomenon imparted of complexity, factorial polysynthesis, and diversity of consequences unfortunately negative in nature. Thus, a thorough comprehension and analysis of the factors affecting drop out and the tendency to it, are crucial. In this paper, the latter is examined in an effort to enlighten the causes behind the manifestation of drop out so as appropriate interventions are applied. In this respect, the present work focused on those factors that exert direct or indirect influence of positive or negative nature on the way students cope with university studies, overcome obstacles and value the university experience. The research was conducted at the University of Patras on a student sample with 696 valid questionnaires. The findings indicate that the principal factors behind the tendency to drop out are the students’ frustration, the absence from their obligatory academic duties, and dissatisfaction with their cognitive subject. On the contrary, the primary factors decreasing the students’ tendency to drop out are the sense of effectiveness in their studies, the perception of gaining valuable things from studying at university, and the creation of good relationships with their fellow students and university teachers.

References

  1. Aina, C. (2013). Parental background and university drop out in Italy. Higher Education, 65(4), 437–456. https://doi.org/10.1007/s10734-012-9554-z.
     Google Scholar
  2. Alban, M., & Mauricio, D. (2019). Predicting university drop out through data mining: a systematic literature. Indian Journal of Science and Technology, 12(4), 1–12. https://doi.org/10.17485/ijst/2019/v12i4/139729.
     Google Scholar
  3. Aljohani, O. (2016). A comprehensive review of the major studies and theoretical models of student retention in higher education. Higher Education Studies, 6(2), 1–18. https://doi.org/10.5539/hes.v6n2p1.
     Google Scholar
  4. Androulakis, G. S., Georgiou, D. A., Kiprianos, P., & Stamelos, G. (2020). Examining the sequence of factors affecting student’ tendency to drop out: a case study in Greece. International Journal of Education, 12(4), 107–131. https://doi.org/10.5296/ije.v12i4.17835.
     Google Scholar
  5. Androulakis, G. S., Georgiou, D. A., Kiprianos, P., & Stamelos, G. (2021). The role of the academic factor in student’s tendency to university drop out. Journal of Education and Human Development, 10(1), 1–18. http://dx.doi.org/10.15640/jehd.v10n1a5.
     Google Scholar
  6. Antoni, E. J. (2003). Alumnos universitarios: el por qué de sus éxitos y fracasos: investigación que fundamenta una tesis doctoral. Miño y Dávila [University students: the reason for their successes and failures: research that bases a doctoral thesis].
     Google Scholar
  7. Aparicio-Chueca, P., Domínguez-Amorós, M., & Maestro-Yarza, I. (2021). Beyond university drop out. An approach to university transfer. Studies in Higher Education, 46(3), 473–484. https://doi.org/10.1080/03075079.2019.1640671.
     Google Scholar
  8. Arco-Tirado, J. L., Fernández-Martín, F. D., & Fernández-Balboa, J.-M. (2011). The impact of a peer-tutoring program on quality standards in higher education. Higher Education, 62(6), 773–788. https://doi.org/10.1007/s10734-011-9419-x.
     Google Scholar
  9. Astin, A. W. (1975). Preventing Students from Dropping Out. Jossey-Bass. http://lib.ugent.be/catalog/rug01:001365957.
     Google Scholar
  10. Austin, E. J., Evans, P., Goldwater, R., & Potter, V. (2005). A preliminary study of emotional intelligence, empathy, and exam performance in first year medical students. Personality and Individual Differences, 39(8), 1395–1405. https://doi.org/10.1016/j.paid.2005.04.014.
     Google Scholar
  11. Azevedo, R., Johnson, A., Chauncey, A., & Burkett, C. (2010). self-regulated learning with meta tutor: advancing the science of learning with meta cognitive tools BT-new science of learning: cognition, computers and collaboration in education (M. S. Khine & I. M. Saleh (eds.); pp. 225–247). Springer New York. https://doi.org/10.1007/978-1-4419-5716-0_11.
     Google Scholar
  12. Backović, D. V, Ilić Živojinović, J., Maksimović, J., & Maksimović, M. (2012). Gender differences in academic stress and burnout among medical students in final years of education. Psychiatria Danubina, 24(2.), 175–181.
     Google Scholar
  13. Bakker, A. B., Emmerik, H. van, & Euwema, M. C. (2006). Crossover of burnout and engagement in work teams. Work and Occupations, 33(4), 464–489. https://doi.org/10.1177/0730888406291310.
     Google Scholar
  14. Bardach, L., Lüftenegger, M., Oczlon, S., Spiel, C., & Schober, B. (2019). Context-related problems and university students’ drop out intentions-the buffering effect of personal best goals. European Journal of Psychology of Education, 35, 477–493. https://doi.org/10.1007/s10212-019-00433-9.
     Google Scholar
  15. Bean, J. P. (1982). Student attrition, intentions, and confidence: Interaction effects in a path model. Research in Higher Education, 17(4), 291–320. https://doi.org/10.1007/BF00977899.
     Google Scholar
  16. Belloc, F., Maruotti, A., & Petrella, L. (2011). How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study. Journal of Applied Statistics, 38(10), 2225–2239. https://doi.org/10.1080/02664763.2010.545373.
     Google Scholar
  17. Bennett, R. (2003). Determinants of undergraduate student drop out rates in a university business studies department. Journal of Further and Higher Education, 27(2), 123–141. https://doi.org/10.1080/030987703200065154.
     Google Scholar
  18. Berger, J. B., Blanco-Ramírez, G., & Lyon, S. (2012). Past to present: A historical look at retention. In A. Seidman (Ed.), College Student Retention: Formula for Student Success, 7–34. Lanham, MD: Rowman & Littlefield.
     Google Scholar
  19. Berliner, D. C. (2005). The near impossibility of testing for teacher quality. Journal of Teacher Education, 56(3), 205–213. https://doi.org/10.1177/0022487105275904.
     Google Scholar
  20. Bernardo, A., Esteban, M., Fernández, E., Cervero, A., Tuero, E., & Solano, P. (2016). Comparison of personal, social, and academic variables related to university drop-out and persistence. Frontiers in Psychology, 7, 1610. http://dx.doi.org/10.3389/fpsyg.2016.01610.
     Google Scholar
  21. Bourdieu, P. (1984). A social critique of the judgement of taste. Traducido Del Francés Por R. Nice. Londres, Routledge.
     Google Scholar
  22. Bourdieu, P., & Richardson, J. G. (1986). Handbook of theory and research for the sociology of education. The Forms of Capital, 241, 258.
     Google Scholar
  23. Braxton, J. M., Milem, J. F., & Sullivan, A. S. (2000). The influence of active learning on the college student departure process: Toward a revision of Tinto’s theory. The Journal of Higher Education, 71(5), 569–590. https://doi.org/10.1080/00221546.2000.11778853.
     Google Scholar
  24. Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/https://doi.org/10.1016/j.iheduc.2015.04.007.
     Google Scholar
  25. Brooks, J. H., & DuBois, D. L. (1995). Individual and environmental predictors of adjustment during the first year of college. Journal of College Student Development, 34(6). https://psycnet.apa.org/record/1996-12954-001.
     Google Scholar
  26. Cabrera, A. F., Nora, A., & Castañeda, M. B. (1993). College persistence. The Journal of Higher Education, 64(2), 123–139. https://doi.org/10.1080/00221546.1993.11778419.
     Google Scholar
  27. Cabrera, L., Bethencourt, J. T., Pérez, P. A., & Afonso, M. G. (2006). El problema del abandono de los estudios universitarios [The problem of university dropout]. http://www.uv.es/RELIEVE/v12n2/RELIEVEv12n2_1eng.htm.
     Google Scholar
  28. Casanova, J. R., Cervero Fernández-Castañón, A., Núñez Pérez, J. C., Almeida, L. S., & Bernardo Gutiérrez, A. B. (2018). Factors that determine the persistence and drop out of university students [Factores determinantes de la permanencia y abandono de los estudiantes universitarios]. Psicothema, 30(4), 408–414. https://doi.org/10.7334/psicothema2018.155.
     Google Scholar
  29. Castaño, E., Gallón, S., Gómez, K., & Vásquez, J. (2004). Deserción estudiantil universitaria: una aplicación de modelos de duración. [University student desertion: an application of duration models]. Lecturas de Economía, 60, 39–65.
     Google Scholar
  30. Comtois, D. (2022). summary tools: Tools to Quickly and Neatly Summarize Data. https://github.com/dcomtois/summarytools.
     Google Scholar
  31. Darling-Hammond, L., & Youngs, P. (2002). Defining “highly qualified teachers”: What does “scientifically-based research” actually tell us? Educational Researcher, 31(9), 13–25. https://doi.org/10.3102%2F0013189X031009013.
     Google Scholar
  32. Davies, P. (2000). Student retention in further education: a problem of quality or of student finance? https://core.ac.uk/download/pdf/4152585.pdf.
     Google Scholar
  33. Davies, R., & Elias, P. (2003). Dropping out: A study of early leavers from higher education. Citeseer.
     Google Scholar
  34. Dias, D., Marinho-Araujo, C., Almeida, L. S., & Amaral, A. (2011). The democratization of access and success in higher education. Higher Education Management and Policy, 23(1), 1–20. https://doi.org/10.1787/hemp-23-5kgglbdlrptg.
     Google Scholar
  35. Díaz, P., & De León, A. T. (2016). Design and validation of a questionnaire to analyze University drop out-CADES. World, 3(2), 267–280. https://doi.org/10.22158/wjer.v3n2p267.
     Google Scholar
  36. Donoso, S., & Schiefelbein, E. (2007). Análisis de los modelos explicativos de retención de estudiantes en la universidad: una visión desde la desigualdad social [Analysis of explicative models of student’s retention at the University: A vision from the social inequality]. Estudios Pedagógicos (Valdivia), 33(1), 7–27.
     Google Scholar
  37. Douglas, J., Douglas, A., & Barnes, B. (2006). Measuring student satisfaction at a UK university. Quality Assurance in Education, 14(3), 251–267.
     Google Scholar
  38. Duque, C. (2011). Student’s cocreation, learning outcomes, satisfaction and drop out intentions. Econ. Res. Educ, 6, 448–459. http://2011.economicsofeducation.com/malaga2011/duque.pdf.
     Google Scholar
  39. Duque, L. C., Duque, J. C., & Suriñach, J. (2013). Learning outcomes and drop out intentions: an analytical model for Spanish universities. Educational Studies, 39(3), 261–284. https://doi.org/10.1080/03055698.2012.724353.
     Google Scholar
  40. Esteban García, M., Bernardo Gutiérrez, A. B., & Rodríguez-Muñiz, L. J. (2016). Permanencia en la universidad: la importancia de un buen comienzo. Aula Abierta, 44(1), 1–6. https://doi.org/https://doi.org/10.1016/j.aula.2015.04.001.
     Google Scholar
  41. Fenstermacher, G. D., & Richardson, V. (2005). On making determinations of quality in teaching. Teachers College Record, 107(1), 186–213. http://www-personal.umich.edu/~gfenster/teaqual14ss.PDF.
     Google Scholar
  42. Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. https://philarchive.org/archive/FISBAI.
     Google Scholar
  43. Georg, W. (2009). Individual and institutional factors in the tendency to drop out of higher education: a multilevel analysis using data from the Konstanz Student Survey. Studies in Higher Education, 34(6), 647–661. https://doi.org/10.1080/03075070802592730.
     Google Scholar
  44. Gilardi, S., & Guglielmetti, C. (2011). University Life of non-traditional students: engagement styles and impact on attrition. The Journal of Higher Education, 82(1), 33–53. https://doi.org/10.1080/00221546.2011.11779084.
     Google Scholar
  45. Gury, N. (2011). Dropping out of higher education in France: a micro‐economic approach using survival analysis. Education Economics, 19(1), 51–64. https://doi.org/10.1080/09645290902796357.
     Google Scholar
  46. Habley, W. R., Bloom, J. L., & Robbins, S. (2012). Increasing persistence: Research-based strategies for college student success. John Wiley & Sons.
     Google Scholar
  47. Heublein, U. (2014). Student drop‐out from German higher education institutions. European Journal of Education, 49(4), 497–513. https://doi.org/10.1111/ejed.12097.
     Google Scholar
  48. Hillmert, S., Groß, M., Schmidt-Hertha, B., & Weber, H. (2017). Informational environments and college student drop out. In Informational Environments (pp. 27–52). Springer.
     Google Scholar
  49. Holdsworth, S., Turner, M., & Scott-Young, C. M. (2018). Not drowning, waving. Resilience and university: a student perspective. Studies in Higher Education, 43(11), 1837–1853.
     Google Scholar
  50. Hovdhaugen, E., & Aamodt, P. O. (2009). Learning environment: Relevant or not to students’ decision to leave university? Quality in Higher Education, 15(2), 177–189. https://doi.org/10.1080/13538320902995808.
     Google Scholar
  51. Jensen, E. L. (1981). Student financial aid and persistence in college. The Journal of Higher Education, 52(3), 280–294. https://doi.org/10.1080/00221546.1981.11780143.
     Google Scholar
  52. Joyce, B., Weil, M., & Calhoun, E. (2003). Models of teaching.
     Google Scholar
  53. Kadar, M., Sarraipa, J., Guevara, J. C., & Restrepo, E. G. y. (2018). An integrated approach for fighting drops out and enhancing students’ satisfaction in higher education. Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, 240–247. https://doi.org/10.1145/3218585.3218667.
     Google Scholar
  54. Kamens, D. H. (1971). The college “charter” and college size: effects on occupational choice and college attrition. Sociology of Education, 44(3), 270–296. https://doi.org/10.2307/2111994.
     Google Scholar
  55. Kehm, B. M., Larsen, M. R., & Sommersel, H. B. (2019). Students drop out from universities in Europe: A review of empirical literature. Hungarian Educational Research Journal, 9(2), 147–164. https://doi.org/10.1556/063.9.2019.1.18.
     Google Scholar
  56. Lee, G., Jolly, N., Kench, P., & Gelonesi, B. (2000). Factors related to student satisfaction with university. Proceedings of the Fourth Pacific Rim-First Year in Higher Education Conference: Creating Futures for a New Millennium, 1–8.
     Google Scholar
  57. Lin, S.-H., & Huang, Y.-C. (2014). Life stress and academic burnout. Active Learning in Higher Education, 15(1), 77–90.
     Google Scholar
  58. Lizzio, A., Wilson, K., & Simons, R. (2002). University students’ perceptions of the learning environment and academic outcomes: implications for theory and practice. Studies in Higher Education, 27(1), 27–52. https://doi.org/10.1080/03075070120099359.
     Google Scholar
  59. Magen-Nagar, N., & Shachar, H. (2017). Quality of teaching and drop out risk: A multi-level analysis. Journal of Education for Students Placed at Risk (JESPAR), 22(1), 9–24. https://doi.org/10.1080/10824669.2016.1242069.
     Google Scholar
  60. Martinez, P. (2001). Improving student retention and achievement: what do we know and what do we need to find out? LSDA reports. ERIC.
     Google Scholar
  61. McKenzie, K., & Schweitzer, R. (2001). Who succeeds at university? Factors predicting academic performance in first year Australian university students. Higher Education Research & Development, 20(1), 21–33. https://doi.org/10.1080/07924360120043621.
     Google Scholar
  62. McPartland, J., & Jordan, W. (2001). Essential components of high school dropout prevention reforms. https://escholarship.org/content/qt0g10k4nz/qt0g10k4nz.pdf?t=msmd50.
     Google Scholar
  63. Milborrow, S. (2022). rpart.plot: Plot rpart Models: An Enhanced Version of plot.rpart (R package version 3.1.1). http://www.milbo.org/rpart-plot/index.html.
     Google Scholar
  64. Mujica, A. D., Villalobos, M. V. P., Gutiérrez, A. B. B., Fernández-Castañón, A. C., & González-Pienda, J. A. (2019). Affective and cognitive variables involved in structural prediction of university drop out. Psicothema, 31(4), 429–436. https://doi.org/10.7334/psicothema2019.124.
     Google Scholar
  65. Pancer, S. M., Hunsberger, B., Pratt, M. W., & Alisat, S. (2000). Cognitive complexity of expectations and adjustment to university in the first year. Journal of Adolescent Research, 15(1), 38–57.
     Google Scholar
  66. Pascarella, E. T. (1980). Student-faculty informal contact and college outcomes. Review of Educational Research, 50(4), 545–595.
     Google Scholar
  67. Perry, R. P., Hladkyj, S., Pekrun, R. H., & Pelletier, S. T. (2001). Academic control and action control in the achievement of college students: A longitudinal field study. Journal of Educational Psychology, 93(4), 776.
     Google Scholar
  68. Pike, G. R., & Saupe, J. L. (2002). Does high school matter? An analysis of three methods of predicting first-year grades. Research in Higher Education, 43(2), 187–207. https://doi.org/10.1023/A:1014419724092.
     Google Scholar
  69. Pincus, F. (1980). The false promises of community colleges: class conflict and vocational education. Harvard Educational Review, 50(3), 332–361. https://doi.org/10.17763/haer.50.3.y733663386302231.
     Google Scholar
  70. Prevatt, F., & Kelly, F. D. (2003). Dropping out of school: A review of intervention programs. Journal of School Psychology, 41(5), 377–395. 10.1016/S0022-4405(03)00087-6.
     Google Scholar
  71. R Core Team. (2022). R: A Language and environment for statistical computing. https://www.r-project.org/.
     Google Scholar
  72. Respondek, L., Seufert, T., Stupnisky, R., & Nett, U. E. (2017). Perceived academic control and academic emotions predict undergraduate university student success: examining effects on drop out intention and achievement. In Frontiers in Psychology, 8, 243. https://www.frontiersin.org/article/10.3389/fpsyg.2017.00243.
     Google Scholar
  73. Revelle, W. (2021). Psych: Procedures for psychological, psychometric, and personality research. https://personality-project.org/r/psych/.
     Google Scholar
  74. Ribeiro, Í. J. S., Pereira, R., Freire, I. V, de Oliveira, B. G., Casotti, C. A., & Boery, E. N. (2018). Stress and quality of life among university students: A systematic literature review. Health Professions Education, 4(2), 70–77.
     Google Scholar
  75. Robotham, D., & Julian, C. (2006). Stress and the higher education student: a critical review of the literature. Journal of Further and Higher Education, 30(02), 107–117.
     Google Scholar
  76. Roso-Bas, F., Jiménez, A. P., & García-Buades, E. (2016). Emotional variables, drop out and academic performance in Spanish nursing students. Nurse Education Today, 37, 53–58. https://doi.org/10.1016/j.nedt.2015.11.021.
     Google Scholar
  77. Rupp, A. A., & Zumbo, B. D. (2004). A note on how to quantify and report whether IRT parameter invariance holds: When Pearson correlations are not enough. Educational and Psychological Measurement, 64(4), 588–599. https://doi.org/10.1177/0013164403261051.
     Google Scholar
  78. Sabiote, C. R., & Torres, L. H. (2009). Análisis correlacional-predictivo de la influencia de la asistencia a clase en el rendimiento académico universitario. Estudio de caso en una asignatura [Co-relational-predictive analysis about the influence of the attendance to class in the academic university achievement: Study of a case in a subject]. Profesorado. Revista de Currículum y Formación de Profesorado, 13(2), 1–13. https://www.redalyc.org/pdf/567/56711798017.pdf.
     Google Scholar
  79. Salanova, M., Schaufeli, W. B., Martínez, I. M., & Bresó, E. (2010). How obstacles and facilitators predict academic performance: The mediating role of study burnout and engagement. Anxiety, Stress & Coping, 23(1), 53–70.
     Google Scholar
  80. Scrucca, L., Fop, M., Murphy, T. B., & Raftery, A. E. (2016). mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. The R Journal, 8(1), 205–233. https://journal.r-project.org/archive/2016-1/scrucca-fop-murphy-etal.pdf.
     Google Scholar
  81. Seidman, A. (2005). College student retention: Formula for student success: Greenwood Publishing Group.
     Google Scholar
  82. Sneyers, E., & De Witte, K. (2017). The interaction between drop out, graduation rates and quality ratings in universities. Journal of the Operational Research Society, 68(4), 416–430. https://doi.org/10.1057/jors.2016.15.
     Google Scholar
  83. Spady, W. G. (1970). Drop outs from higher education: An interdisciplinary review and synthesis. Interchange, 1(1), 64–85. https://doi.org/10.1007/BF02214313.
     Google Scholar
  84. Spady, W. G. (1971). Drop outs from higher education: Toward an empirical model. Interchange, 2(3), 38–62. https://link.springer.com/content/pdf/10.1007/BF02282469.pdf.
     Google Scholar
  85. Stamelos, G., Kiprianos, P., Evangelakou, P., & Kavasakalis, A. (2021). Comprendre et prévenir l’abandon étudiant [Understanding and preventing student dropout]. Recherche En Éducation, 22, 1–23.
     Google Scholar
  86. Stamelos, G., & Paivandi, S. (2015). Access to higher education in southern Europe. Academia, 5(1), 1–17.
     Google Scholar
  87. Suhre, C. J. M., Jansen, E. P. W. A., & Harskamp, E. G. (2007). Impact of degree program satisfaction on the persistence of college students. Higher Education, 54(2), 207–226. https://doi.org/10.1007/s10734-005-2376-5.
     Google Scholar
  88. Sulea, C., Van Beek, I., Sarbescu, P., Virga, D., & Schaufeli, W. B. (2015). Engagement, boredom, and burnout among students: Basic need satisfaction matters more than personality traits. Learning and Individual Differences, 42, 132–138.
     Google Scholar
  89. Therneau, T., Atkinson, B., & Ripley, B. (2018). rpart: Recursive partitioning and regression trees (R package). https://cran.r-project.org/package=rpart.
     Google Scholar
  90. Tinto, V. (1975). Drop out from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125. https://doi.org/https://doi.org/10.3102%2F00346543045001089.
     Google Scholar
  91. Tinto, V. (1993). Leaving College. (2nd Edn.) Chicago and London. The University of Chicago Press.
     Google Scholar
  92. Tinto, V. (1997). Classrooms as communities: Exploring the educational character of student persistence. The Journal of Higher Education, 68(6), 599–623. https://www.jstor.org/stable/2959965.
     Google Scholar
  93. Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1–19. https://doi.org/10.2190%2F4YNU-4TMB-22DJ-AN4W.
     Google Scholar
  94. Tinto, V. (2017). Through the eyes of students. Journal of College Student Retention: Research, Theory & Practice, 19(3), 254–269. https://doi.org/10.1177/1521025115621917.
     Google Scholar
  95. Ulriksen, L., Madsen, L. M., & Holmegaard, H. T. (2010). What do we know about explanations for drop out/opt out among young people from STM higher education programs? Studies in Science Education, 46(2), 209–244. https://doi.org/10.1080/03057267.2010.504549.
     Google Scholar
  96. Van Bragt, C. A. C., Bakx, A. W. E. A., Bergen, T. C. M., & Croon, M. A. (2011). Looking for students’ personal characteristics predicting study outcome. Higher Education, 61(1), 59–75. https://doi.org/10.1007/s10734-010-9325-7.
     Google Scholar
  97. Van Bragt, C. A. C., Bakx, A. W. E. A., Van der Sanden, J. M. M., & Croon, M. A. (2007). Students’ approaches to learning when entering higher education: Differences between students with senior general secondary and senior secondary educational backgrounds. Learning and Individual Differences, 17(1), 83–96. https://doi.org/10.1016/j.lindif.2007.02.003.
     Google Scholar
  98. Van der Hulst, M., & Jansen, E. (2002). Effects of curriculum organization on study progress in engineering studies. Higher Education, 43(4), 489–506. https://doi.org/10.1023/A:1015207706917.
     Google Scholar
  99. Wayne, A. J., & Youngs, P. (2003). Teacher characteristics and student achievement gains: A review. Review of Educational Research, 73(1), 89–122. https://doi.org/10.3102%2F00346543073001089.
     Google Scholar
  100. Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., Woo, K., Yutani, H., & Dunnington, D. (2022). ggplot2: Create Elegant Data Visualizations Using the Grammar of Graphics. https://cran.r-project.org/package=ggplot2.
     Google Scholar
  101. Wickham, H., Hester, J., & Bryan, J. (2022). readr: Read Rectangular Text Data. https://cran.r-project.org/package=readr.
     Google Scholar
  102. Willcoxson, L. (2010). Factors affecting intention to leave in the first, second and third year of university studies: a semester‐by‐semester investigation. Higher Education Research & Development, 29(6), 623–639. https://doi.org/10.1080/07294360.2010.501071.
     Google Scholar
  103. Xie, Y. (2022). knitr: A general-purpose package for dynamic report generation in R. https://yihui.org/knitr/.
     Google Scholar
  104. Yorke, M. (1999). Leaving early: Undergraduate non-completion in the United Kingdom. London: Falmer Press.
     Google Scholar
  105. Yorke, M. (2000). The quality of the student experience: what can institutions learn from data relating to non-completion? Quality in Higher Education, 6(1), 61–75. https://doi.org/10.1080/13538320050001072.
     Google Scholar
  106. Yorke, M., & Longden, B. (2004). Retention and student success in higher education. McGraw-Hill Education (UK).
     Google Scholar
  107. Zając, T. Z., & Komendant-Brodowska, A. (2019). Premeditated, dismissed and disenchanted: higher education drop outs in Poland. Tertiary Education and Management, 25(1), 1–16. https://doi.org/10.1007/s11233-018-09010-z.
     Google Scholar
  108. Zanon, C., Hutz, C. S., Yoo, H., & Hambleton, R. K. (2016). An application of item response theory to psychological test development. Psicologia: Reflexao e Critica, 29(1). https://doi.org/10.1186/s41155-016-0040-x.
     Google Scholar
  109. Κυπριανός, Π., & Κονιόρδος, Μ. (2003). Η απομυθοποίηση του πανεπιστημίου: “αιώνιοι φοιτητές” και εγκατάλειψη σπουδών. [The demystification of the university: “Eternal” students and dropout of studies]. Σύγχρονη Εκπαίδευση, 132, 23–34. http://hepnet.upatras.gr/xfiles/articles/Aπομυθοποίηση Πανεπιστημίου, αιώνιοι φοιτητές.pdf.
     Google Scholar
  110. Σταμέλος, Γ. (2016). Οι πέραν των κανονικών εξαμήνων φοιτητές (Μελέτη 16). [The students beyond the normal semesters]. HepNet. https://doi.org/10.13140/RG.2.1.4878.1847.
     Google Scholar