Journals / Journal of Family Counseling and Education / 2026 / Cilt: 5 Sayı: 1

Determination of the Factors Affecting Future Expectations of Young People

Pages
35–59
Publication Date
2020-06-29
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Since there are few tools that measure the factors that affect future expectations in the literature review, it is thought that the scale will contribute to the field in literature and can meet this need.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Future expectations of young people in a society are important factors that determine the development line and dynamics of that society.
📊
Key Findings & Data:The aim of the study is to develop a measurement tool that determines the factors that af [1] fect the future expectations of students in the school environment in the process of preparation for higher education.
💡
Conclusion & Impact:Since there are few tools that measure the factors that affect future expectations in the literature review, it is thought that the scale will contribute to the field in literature and can meet this need.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Future expectations · Factors related school · Partial Least Square

Abstract

Future expectations of young people in a society are important factors that determine the development line and dynamics of that society. The aim of the study is to develop a measurement tool that determines the factors that af [1] fect the future expectations of students in the school environment in the process of preparation for higher education. The validity and reliability studies of the scale were conducted with the 348 participants in the first and with 168 participants in the second application. As a result of exploratory and confirmatory factor analysis, the scale consisting of twenty five items and five factors was found to be theoretically and statistically appropriate. Since there are few tools that measure the factors that affect future expectations in the literature review, it is thought that the scale will contribute to the field in literature and can meet this need.

🔖

Cite This Article

Erçetin, Ş. Ş., Güngör, H., Hamedoğlu, M. (2020). Determination of the Factors Affecting Future Expectations of Young People. Journal of Family Counseling and Education, Cilt: 5 Sayı: 1, 35–59. https://doi.org/10.32568/jfce.721817

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (28)

  1. Bagozzi, R. P. ve Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
  2. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588.
  3. Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS quarterly= Management İnformation Systems Quarterly, 39(2), 297-316.
  4. Erçetin, Ş.Ş. ve Arifoğlu, A. (2016). Herkes için eğitim 2015 Hedefleri ve Türkiye. Bartın Üniversitesi Eğitim Fakültesi Dergisi, 5(2), 223-246 Doi: http://dx.doi.org/10.14686/buefad.v5i2.5000186142
  5. Erçetin, Ş. Ş. (2001a). İlköğretim okulu yöneticilerinin 21. yüzyıl için kişisel vizyonları. Eğitim ve Bilim, 26(120), 37-43.
  6. Erçetin, Ş. Ş. (2001b). Yeni Yüzyıl için Türk üniversite rektörlerinin kişisel ve örgütsel vizyonları. Uludağ Üniversitesi Eğitim Fakültesi Dergisi, 14(1).
  7. Erçetin, Ş.Ş. (2000). Lider sarmalında vizyon. Ankara: Nobel Yayın Dağıtım
  8. Erçetin, Ş.Ş. (1997). İlkokul müdürlerinin vizyon geliştirmeye karşı tutumları (Araştırmaya Dayalı) Full text is published in “Leadership in 21. Century Symposium” Naval Academy. Istanbul 5-6 June 1997 ISBN 975-409-109-9 Deniz Harp Okulu Basımevi Tuzla, 126-132
  9. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1), 39-50. Frank, L. K. (1939). Projective methods for the study of personality. The Journal of Psychology, 8(2), 389-413.
  10. Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing (AIM), 20, 277-320.
  11. Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W.,. Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and
  12. Evermann (2013). Organizational Research Methods, 17(2), 182-209.
  13. Henseler, Hubona, G., & Ray, P. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
  14. Hu, L.T. & Bentler, P.M. (1998). Fit Indices in Covariance Structure Modeling: Sensitivity to Underparameterized Model Misspecification. Psychological Methods, 3(4), 424-453.
  15. Israeli, N. (1930). Some aspects of the social psychology of futurism. Journal of Abnormal and Social Psychology, 25, 121-132.
  16. İmamoğlu, E. O. & Güler-Edwards, A. (2007). Geleceğe ilişkin yönelimlerde benlik tipine bağlı farklılıklar. Türk Psikoloji Dergisi, 22(60), 115-132.
  17. Lewin, K. (1939). Field theory and experiment in social psychology: concepts and methods. The American Journal of Sociology, 44, 868-897.
  18. McWhirter, E.H. and McWhirter, B.T. (2008). Adolescent future expectations of work, education family and community. Youth & Society, 40, 2, 182-202.
  19. Ramayah, T., Yeap, J. A. L., Ahmad, N. H., Halim, H. A., Rahman, S. A. (2017). Testing a confirmatory model of Facebook usage in SmartPLS using consistent PLS. International Journal of Business and Innovation, 3(2), 01-14
  20. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
  21. Seigner, R. (2003). Adolescent future orientation: an ıntegrated cultural and ecological perspective. Online Readings in Psychology and Culture, 6(1), 3-13.
  22. Seijts, G. H. (1998). The importance of future time perspective in theories of work motivation. The Journal of Psychology, 132, 154-168.
  23. Şanlı, T. & Saraçlı, S. (2015). Üniversite öğrencilerinin gelecek beklentileri üzerinde etkili olan faktörlerin analizi. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(11), 25-36.
  24. Şimşek, H. (2012). Güneydoğu Anadolu Bölgesindeki lise öğrencilerinin gelecek beklentileri ve gelecek beklentilerini etkileyen faktörler. AKU, Kuramsal Eğitimbilim Dergisi, 5(1), 90-109.
  25. Tuncer, M. (2011a). Ergen gelecek beklentileri ölçeğinin türkçeye uyarlanması. Turkish Studies - International Periodical for the Languages, Literature and History of Turkish or Turkic Volume, 6(3), 1265-1275
  26. Tuncer, M. (2011b). Yükseköğretim gençliğinin gelecek beklentileri üzerine bir araştırma. Turkish Studies - International Periodical for the Languages, Literature and History of Turkish or Turkic, 6(2), 935-948
  27. Wong, K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24,(1), 1-32.
  28. Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W.,. Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and