Research Article
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School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach

Year 2025, Volume: 14 Issue: 2, 103 - 114, 30.06.2025
https://doi.org/10.33714/masteb.1697022

Abstract

According to the most recent national data from the Ministry of National Education, only 40.46% of graduates remain employed in the maritime sector, indicating critically low retention. This study investigates the psychological mechanisms that influence students’ intention to remain in the maritime profession after graduation. Data were collected from 366 students enrolled in maritime vocational high schools and analyzed using Structural Equation Modeling (SEM). The model tested two latent constructs: School Engagement and Occupational Readiness. Results revealed that school engagement significantly predicted occupational readiness (β = 0.568, p < .001). The model is theoretically grounded in Bloom’s taxonomy, Career Construction Theory, and the concept of Vocational Self-Concept, which together provide a robust framework for understanding how school-based experiences influence students’ perceptions of occupational readiness and alignment with the sector. Findings indicate that students’ perceptions of their school experience, particularly in terms of the adequacy of vocational knowledge, skills, and attitudes, play a pivotal role in shaping their professional orientation. The model demonstrated strong internal reliability and construct validity, offering a psychometric framework to understand how educational commitment evolves into perceived occupational preparedness. Addressing a notable gap in Turkish maritime education research, this study empirically tests how school engagement influences psychological readiness using a theory-informed SEM design. Such strategies are especially critical for fostering better alignment between students and the maritime profession, potentially supporting future improvements in retention.

Ethical Statement

This study was approved by the Istanbul University-Cerrahpaşa Social and Human Sciences Research Ethics Committee with decision number 2022/338 and was conducted in accordance with the 1964 Declaration of Helsinki and its subsequent amendments or comparable ethical standards.

Supporting Institution

This study received no financial or institutional support.

Thanks

The first author would like to express sincere gratitude to Güldem Elmas for her invaluable academic guidance, continuous support, and constructive feedback throughout this research. This study received no financial support.

References

  • Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance and normative commitment to the organization. Journal of Occupational Psychology, 63(1), 1–18. https://doi.org/10.1111/j.2044-8325.1990.tb00506.x
  • Başkol, G. (2019). Denizcilik meslek liselerinin sektörel istihdama katkısının değerlendirilmesi [Unpublished master’s thesis]. Turkish National Thesis Center database.
  • Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David McKay.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press. https://www.guilford.com/books/Confirmatory-Factor-Analysis-for-Applied-Research/Timothy-Brown/9781462515363
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge. https://doi.org/10.4324/9780203805534
  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10
  • Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Lawrence Erlbaum Associates.
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Fidan, V., & Nas, S. (2019). Denizcilik meslek lisesi öğrencilerinin meslek seçim yeterliliği ve meslek seçimlerini etkileyen faktörler. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 11(2), 271–296. https://doi.org/10.18613/deudfd.659821
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Gitlin, T. (2001). The twilight of common dreams: Why America is wracked with culture wars. Holt Paperbacks.
  • Güzel, E. (2021). Coğrafi veriye analitik bilgiye dayalı denizcilik okulları segmentasyonu ve kalite değerlendirmesi (Unpublished doctoral dissertation). Istanbul Technical University, Graduate School of Science, Engineering and Technology.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.drnishikantjha.com/papersCollection/Multivariate%20Data%20Analysis.pdf
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55 https://doi.org/10.1080/10705519909540118
  • Kablay, S. (2021). Stajyer öğrencilerin emek süreçleri: Meslek liseleri üzerine niteliksel bir araştırma. Politik Ekonomik Kuram, 5(1), 132–160. https://doi.org/10.30586/pek.943297
  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
  • Karaoğlu, M., Özkan, R., & Badak, A. (2023). Deniz ve liman işletmeciliği ön lisans eğitimi üzerine bir inceleme. Iğdır Üniversitesi İİBF Dergisi, 9, 29–46. https://doi.org/10.58618/igdiriibf.1296710
  • Kılıç, M. (2022). Mesleki teknik ve Anadolu liselerinin denizcilik alanında öğrenim gören 9. ve 12. sınıf öğrencilerinin mesleki ilgileri ile mesleki eğitime yönelik tutum ve memnuniyetlerinin araştırılması (Master’s thesis, Biruni Üniversitesi).
  • Kline, R. B. (2016). Principles and practice of structural equation modeling, (pp. xvii, 534).
  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press. https://doi.org/10.1017/CBO9780511815355
  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
  • Malhotra, N. K., & Dash, S. (2011). Marketing research: An applied orientation (6th ed.). Pearson Education. Chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://nibmehub.com/opac-service/pdf/read/Marketing%20Research%20An%20Applied%20Approach-%20Malhotra-%20N.K-%202ed.pdf
  • Melović, B., Šekularac-Ivošević, S., Muslu, A., Backović, T., & Dabić, M. (2022). Proactive career planning in the maritime industry: Enhancing millennials’ workplace enthusiasm in Montenegro and Turkey. Naše More, 69(1), 40–52. https://doi.org/10.17818/NM/2022/1.6
  • MEB (Millî Eğitim Bakanlığı). (2020). Mesleki ve teknik ortaöğretim kurumları mezunlarının izlenmesi (E-Mezun) 2020 yılı raporu. Ankara: MEB. https://emezun.meb.gov.tr/document/2020Y%C4%B1l%C4%B1E-MezunRaporu.pdf
  • MEB (Millî Eğitim Bakanlığı). (2021a). Millî eğitim istatistikleri (örgün eğitim), 2020/’21. Ankara: MEB. http://sgb.meb.gov.tr/www/milli-egitim-istatistikleri-orgun-egitim-2020-2021/icerik/378
  • MEB (Millî Eğitim Bakanlığı). (2021b). Türkiye’de Mesleki ve Teknik Eğitimin Görünümü Raporu. MEB Yayınları. https://mtegm.meb.gov.tr/meb_iys_dosyalar/2018_11/12134429_No1_Turkiyede_Mesleki_ve_Teknik_Egitimin_Gorunumu.pdf
  • Öztürk, O. B., Turna, İ., Altınpınar, İ., & Pirim, A. E. (2020). Gemiadamı eğitiminde rol alan eğitim kurumlarına yönelik bir çalışma: denizci eğitimciler. Turkish Studies, 15(4), 2877–2891. https://doi.org/10.47423/TurkishStudies.42874
  • Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
  • Saray, S. (2020). Denizcilik eğitimi veren ortaöğretim kurumlarında mesleki İngilizce dersinin yeterliliği üzerine inceleme (Master’s thesis, Fen Bilimleri Enstitüsü).
  • Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 42–70). John Wiley & Sons. https://doi.org/10.1177/1069072711409342
  • Senbursa, N. (2023). Container port employees’ organizational culture perception, job satisfaction & intention to stay at work. Marine Science and Technology Bulletin, 12(1), 12–26. https://doi.org/10.33714/masteb.1217277
  • Stevens, J. (2002). Applied multivariate statistics for the social sciences (Vol. 4). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Super, D. E. (1980). A life-span, life-space approach to career development. Journal of Vocational Behavior, 16(3), 282–298. https://doi.org/10.1016/0001-8791(80)90056-1
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127
  • Yıldırım, U., Şükür, F., & İnegöl, G. M. (2022). Quality Criteria In Maritime Education and Training. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 14(2), 236–263. https://doi.org/10.18613/deudfd.1058625
  • Yıldız, R. Ö. (2023). The challenges on talent management in Turkish container shipping industry. Marine Science and Technology Bulletin, 12(3), 332–351. https://doi.org/10.33714/masteb.1330955
  • Yılmaz, F. (2018). A research on views of Turkish seafarers on maritime education/training and job satisfaction at sea. DEU Maritime Faculty Journal, 10(2), 211–231. https://doi.org/10.18613/deudfd.495812
  • Yorulmaz, M., Taş, A., & İnanlı, H. (2022). Limanlardaki İş Kazalarında İnsan Kaynaklı Hata Nedenlerinin AHP Yöntemiyle Değerlendirilmesi: Kocaeli Liman Bölgesinde Bir Uygulama. Academic Social Resources Journal, 7(34), 193-202. http://dx.doi.org/10.29228/ASRJOURNAL.57516

Year 2025, Volume: 14 Issue: 2, 103 - 114, 30.06.2025
https://doi.org/10.33714/masteb.1697022

Abstract

References

  • Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance and normative commitment to the organization. Journal of Occupational Psychology, 63(1), 1–18. https://doi.org/10.1111/j.2044-8325.1990.tb00506.x
  • Başkol, G. (2019). Denizcilik meslek liselerinin sektörel istihdama katkısının değerlendirilmesi [Unpublished master’s thesis]. Turkish National Thesis Center database.
  • Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David McKay.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press. https://www.guilford.com/books/Confirmatory-Factor-Analysis-for-Applied-Research/Timothy-Brown/9781462515363
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge. https://doi.org/10.4324/9780203805534
  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10
  • Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Lawrence Erlbaum Associates.
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Fidan, V., & Nas, S. (2019). Denizcilik meslek lisesi öğrencilerinin meslek seçim yeterliliği ve meslek seçimlerini etkileyen faktörler. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 11(2), 271–296. https://doi.org/10.18613/deudfd.659821
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Gitlin, T. (2001). The twilight of common dreams: Why America is wracked with culture wars. Holt Paperbacks.
  • Güzel, E. (2021). Coğrafi veriye analitik bilgiye dayalı denizcilik okulları segmentasyonu ve kalite değerlendirmesi (Unpublished doctoral dissertation). Istanbul Technical University, Graduate School of Science, Engineering and Technology.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.drnishikantjha.com/papersCollection/Multivariate%20Data%20Analysis.pdf
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55 https://doi.org/10.1080/10705519909540118
  • Kablay, S. (2021). Stajyer öğrencilerin emek süreçleri: Meslek liseleri üzerine niteliksel bir araştırma. Politik Ekonomik Kuram, 5(1), 132–160. https://doi.org/10.30586/pek.943297
  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
  • Karaoğlu, M., Özkan, R., & Badak, A. (2023). Deniz ve liman işletmeciliği ön lisans eğitimi üzerine bir inceleme. Iğdır Üniversitesi İİBF Dergisi, 9, 29–46. https://doi.org/10.58618/igdiriibf.1296710
  • Kılıç, M. (2022). Mesleki teknik ve Anadolu liselerinin denizcilik alanında öğrenim gören 9. ve 12. sınıf öğrencilerinin mesleki ilgileri ile mesleki eğitime yönelik tutum ve memnuniyetlerinin araştırılması (Master’s thesis, Biruni Üniversitesi).
  • Kline, R. B. (2016). Principles and practice of structural equation modeling, (pp. xvii, 534).
  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press. https://doi.org/10.1017/CBO9780511815355
  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
  • Malhotra, N. K., & Dash, S. (2011). Marketing research: An applied orientation (6th ed.). Pearson Education. Chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://nibmehub.com/opac-service/pdf/read/Marketing%20Research%20An%20Applied%20Approach-%20Malhotra-%20N.K-%202ed.pdf
  • Melović, B., Šekularac-Ivošević, S., Muslu, A., Backović, T., & Dabić, M. (2022). Proactive career planning in the maritime industry: Enhancing millennials’ workplace enthusiasm in Montenegro and Turkey. Naše More, 69(1), 40–52. https://doi.org/10.17818/NM/2022/1.6
  • MEB (Millî Eğitim Bakanlığı). (2020). Mesleki ve teknik ortaöğretim kurumları mezunlarının izlenmesi (E-Mezun) 2020 yılı raporu. Ankara: MEB. https://emezun.meb.gov.tr/document/2020Y%C4%B1l%C4%B1E-MezunRaporu.pdf
  • MEB (Millî Eğitim Bakanlığı). (2021a). Millî eğitim istatistikleri (örgün eğitim), 2020/’21. Ankara: MEB. http://sgb.meb.gov.tr/www/milli-egitim-istatistikleri-orgun-egitim-2020-2021/icerik/378
  • MEB (Millî Eğitim Bakanlığı). (2021b). Türkiye’de Mesleki ve Teknik Eğitimin Görünümü Raporu. MEB Yayınları. https://mtegm.meb.gov.tr/meb_iys_dosyalar/2018_11/12134429_No1_Turkiyede_Mesleki_ve_Teknik_Egitimin_Gorunumu.pdf
  • Öztürk, O. B., Turna, İ., Altınpınar, İ., & Pirim, A. E. (2020). Gemiadamı eğitiminde rol alan eğitim kurumlarına yönelik bir çalışma: denizci eğitimciler. Turkish Studies, 15(4), 2877–2891. https://doi.org/10.47423/TurkishStudies.42874
  • Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
  • Saray, S. (2020). Denizcilik eğitimi veren ortaöğretim kurumlarında mesleki İngilizce dersinin yeterliliği üzerine inceleme (Master’s thesis, Fen Bilimleri Enstitüsü).
  • Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 42–70). John Wiley & Sons. https://doi.org/10.1177/1069072711409342
  • Senbursa, N. (2023). Container port employees’ organizational culture perception, job satisfaction & intention to stay at work. Marine Science and Technology Bulletin, 12(1), 12–26. https://doi.org/10.33714/masteb.1217277
  • Stevens, J. (2002). Applied multivariate statistics for the social sciences (Vol. 4). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Super, D. E. (1980). A life-span, life-space approach to career development. Journal of Vocational Behavior, 16(3), 282–298. https://doi.org/10.1016/0001-8791(80)90056-1
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127
  • Yıldırım, U., Şükür, F., & İnegöl, G. M. (2022). Quality Criteria In Maritime Education and Training. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 14(2), 236–263. https://doi.org/10.18613/deudfd.1058625
  • Yıldız, R. Ö. (2023). The challenges on talent management in Turkish container shipping industry. Marine Science and Technology Bulletin, 12(3), 332–351. https://doi.org/10.33714/masteb.1330955
  • Yılmaz, F. (2018). A research on views of Turkish seafarers on maritime education/training and job satisfaction at sea. DEU Maritime Faculty Journal, 10(2), 211–231. https://doi.org/10.18613/deudfd.495812
  • Yorulmaz, M., Taş, A., & İnanlı, H. (2022). Limanlardaki İş Kazalarında İnsan Kaynaklı Hata Nedenlerinin AHP Yöntemiyle Değerlendirilmesi: Kocaeli Liman Bölgesinde Bir Uygulama. Academic Social Resources Journal, 7(34), 193-202. http://dx.doi.org/10.29228/ASRJOURNAL.57516
There are 40 citations in total.

Details

Primary Language English
Subjects Maritime Engineering (Other)
Journal Section Research Article
Authors

Gözde Gürerk Başkol 0000-0003-4839-9519

Güldem Elmas 0000-0002-2585-9650

Submission Date May 11, 2025
Acceptance Date June 4, 2025
Publication Date June 30, 2025
Published in Issue Year 2025 Volume: 14 Issue: 2

Cite

APA Gürerk Başkol, G., & Elmas, G. (2025). School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach. Marine Science and Technology Bulletin, 14(2), 103-114. https://doi.org/10.33714/masteb.1697022
AMA Gürerk Başkol G, Elmas G. School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach. Mar. Sci. Tech. Bull. June 2025;14(2):103-114. doi:10.33714/masteb.1697022
Chicago Gürerk Başkol, Gözde, and Güldem Elmas. “School Engagement and Occupational Readiness in Maritime Vocational Education: A Structural Equation Modeling Approach”. Marine Science and Technology Bulletin 14, no. 2 (June 2025): 103-14. https://doi.org/10.33714/masteb.1697022.
EndNote Gürerk Başkol G, Elmas G (June 1, 2025) School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach. Marine Science and Technology Bulletin 14 2 103–114.
IEEE G. Gürerk Başkol and G. Elmas, “School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach”, Mar. Sci. Tech. Bull., vol. 14, no. 2, pp. 103–114, 2025, doi: 10.33714/masteb.1697022.
ISNAD Gürerk Başkol, Gözde - Elmas, Güldem. “School Engagement and Occupational Readiness in Maritime Vocational Education: A Structural Equation Modeling Approach”. Marine Science and Technology Bulletin 14/2 (June2025), 103-114. https://doi.org/10.33714/masteb.1697022.
JAMA Gürerk Başkol G, Elmas G. School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach. Mar. Sci. Tech. Bull. 2025;14:103–114.
MLA Gürerk Başkol, Gözde and Güldem Elmas. “School Engagement and Occupational Readiness in Maritime Vocational Education: A Structural Equation Modeling Approach”. Marine Science and Technology Bulletin, vol. 14, no. 2, 2025, pp. 103-14, doi:10.33714/masteb.1697022.
Vancouver Gürerk Başkol G, Elmas G. School engagement and occupational readiness in maritime vocational education: A structural equation modeling approach. Mar. Sci. Tech. Bull. 2025;14(2):103-14.

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