Hanoi University of Home Affair, Vietnam
* Corresponding author
Hanoi University of Home Affair, Vietnam
Hanoi University of Home Affairs, Vietnam

Article Main Content

Vietnamese students studying abroad in recent years have received worldwide attention. This study explores the relationship between planned behaviour, i.e., attitude towards behaviour, subjective norm and perceived behavioural control and coherence towards intention to enrich the literature – Vietnamese students studying abroad at university. In addition, the study also explores the factors related to family cohesion to the intention of Vietnamese students to study abroad. This study was conducted through a cross-sectional survey using a targeted sampling technique (n=350). The SEM model was used to test the hypotheses. The SEM model proved that: The decisive factor affects the intention to study abroad with the coefficient of Regression Weight = 0.222. The subjective norm factor (norm) affects the intent variable with the coefficient of Regression Weight = 0.138; The behavioural intention control factor affects the intent factor with Regression Weights = 0.276; The factor through family cohesion (cohesion) affects the intent factor with Regression Weights = 0.159. The conclusions of this study provide valuable data for study abroad managers, universities, study abroad consulting service providers, and families who want to invest in their children to study abroad.

References

  1. Le Thu. (March 2019). The number of Vietnamese students is 6th in the US. https://duhoc.dantri.com.vn/du-hoc/viet-nam-dung-thu-6-ve-so-luong-du-hoc-sinh-tai-my-2018111707381218.htm
     Google Scholar
  2. Ashwill, M. (May 2018). Viet Nam Ranks 5th in International Enrollment in 3 Countries [translate from Vietnamese]. https://markashwill.com/2018/05/16/viet-nam-ranks-5th-international-enrollment-in-3-countries/
     Google Scholar
  3. Mazzarol, T., & Soutar, G. N, Push-pull” factors influencing international student destination choice. International Journal of Educational Management, 16(2), 2002, pp. 82-90.
     Google Scholar
  4. Liu, D., & Morgan, W. J, Students' decision-making about postgraduate education at G University in China: The main factors and the role of family and of teachers. The Asia-Pacific Education Researcher, 25(2), 2016, pp. 325-335.
     Google Scholar
  5. Douglas W. Naffziger, Jennifer P. Bott, Carolyn B. Mueller, Factors influencing study abroad decisions among college of business students. International Business: Research Teaching and Practice, 2008 2(1), pp.39-52
     Google Scholar
  6. Leung, SE, Vietnam: an economic survey. Asian-Pacific Economic Literature, Vol. 24, No. 2, 2010, pp. 83-103.
     Google Scholar
  7. World Bank. (November 2015), Vietnam, http://data.worldbank.org/ country/ Vietnam.
     Google Scholar
  8. World Bank. (April 2008). Vietnam: Higher education and skills for growth. World Bank. https://openknowledge.worldbank.org/ handle/10986/7814.
     Google Scholar
  9. Harman, G, Hayden, M & Nghi, PT, Higher education in Vietnam: reform, challenges and priorities. Springer, The Netherlands, 2010, pp. 19-26.
     Google Scholar
  10. Welch, A, Ho Chi Minh meets the market: Public and private higher education in Viet Nam. International Education Journal: Comparative Perspectives, Vol. 8, No. 3, 2013, pp. 35-56.
     Google Scholar
  11. Manpower Group (May 2011), Building a high-skilled economy: A new Vietnam,http://projects.vef.gov/followupresearch/upload/BuildingAHigh-SkilledEconomy_TheNewVietnam_A4.pdf.
     Google Scholar
  12. Doherty, B., & Evershed, N. (March 2018). The changing shape of Australia's immigration policy, The Guardian. Retrieved from https://www.theguardian.com/australia-news/2018/mar/24/australias-fierce- immigration-debate-is-about-to-get-louder.
     Google Scholar
  13. Kritz, M. M. Globalization of higher education and international student mobility. Comparative Education Review, 57(4), 2012, pp. 609-636.
     Google Scholar
  14. Ajzen, I, From intentions to actions: a theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior, Heidelberg: Springer, 1985, pp. 11-39.
     Google Scholar
  15. Ajzen I, Madden TJ, Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. J Exp Soc Psychol 22(5), 1986, pp. 53-474.
     Google Scholar
  16. Ajzen, I, Attitudes, traits, and actions: dispositional prediction of behavior in personality and social psychology. Adv Exp Soc Psychol 20 (1), 1987, pp.1-63.
     Google Scholar
  17. Ajzen, I, The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (1991), 179-211.
     Google Scholar
  18. Ajzen, I, Predicting and changing behavior: The reasoned action approach. New York: Psychology Press,2010, pp15-19 .
     Google Scholar
  19. Ajzen, Icek, Behavioral Interventions: Design and Evaluation Guided by the Theory of Planned Behavior, in Social Psychology and Evaluation, edited by M.M. Mark, S.I. Donaldson, and B. Campbell. New York: Guilford Press, 2011, pp. 75-103 .
     Google Scholar
  20. Edberg, Mark, Individual Health Behavior Theories in Essentials of Health Behavior: Social and Behavioral Theory in Public Health. 2nd ed. Burlington: Jones & Bartlett Learning, 2015 Pp. 37-52.
     Google Scholar
  21. Bloom L, Intentionality and theories of intentionality in development. Hum Dev 43(3), 2000,178-185.
     Google Scholar
  22. Warshaw PR, Davis FD, Self-understanding and the accuracy of behavioral expectations. Personal Soc Psychol Bull, 10(1), 1984, pp. 111-118.
     Google Scholar
  23. McEachan, C., Conner, M., Taylor, N., & Lawton, R. (2011). Prospective prediction of health-related behavior with the TPB: a meta-analysis. Health Psychology Review 5(2), 2011, pp. 97-144.
     Google Scholar
  24. Ajzen, Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32 (2002) pp. 665-683.
     Google Scholar
  25. Nchise, An Empirical Analysis of the Theory of Planned Behavior, A Review of Its Application on E-democracy Adoption Using the Partial Least Squares Algorithm, 4(2), 2012, pp. 171-182.
     Google Scholar
  26. Jokonya, Osden, Validating Technology Acceptance Model (TAM) during IT Adoption in Organizations, . 10.1109/CloudCom. 2015(56), pp. 509-516.
     Google Scholar
  27. Hartwell, S. W., & Benson, P. R, Social integration: A conceptual overview and two case studies. In W. R. Avison, J. D. McLeod, & B. Pescosolido (Eds.), Mental health, social mirror New York: Springer, 2007, pp. 329-353.
     Google Scholar
  28. Kawachi, I., & Berkman, L. F, Social ties and mental health. Journal of Urban Health-Bulletin of the New York Academy of Medicine, 78, 2001, pp.458-467
     Google Scholar
  29. Aquilino WS, From adolescent to young adult: A prospective study of parent-child relations during the transition to adulthood. Journal of Marriage and the Family. 1997; 59, pp.670-686.
     Google Scholar
  30. [30] McHale, SM.; Crouter, AC, The family contexts of children’s sibling relationships. In: Brody, GH., editor. Sibling relationships: Their causes and consequences. Norwood, NJ: Ablex Publishing Corporation; 1996, pp. 173-195.
     Google Scholar
  31. Arnett JJ. Emerging adulthood: A theory of development from the late tends through the twenties. American Psychologist. 2000; 55:469-480.
     Google Scholar
  32. Bandura, A, Social learning theory. Englewood Cliffs, NJ: Prentice Hall, 1997, pp152-169.
     Google Scholar
  33. Whitbeck L, Hoyt D, Huck S, Early family relationships, intergenerational solidarity, and support provided to parents by adult children. Journals of Gerontology: Social Sciences, 49, 1994, pp. S85- S94.
     Google Scholar
  34. Ainsworth, MDS, Attachment: Retrospect and prospect. In: Parkes, CM.; Stevenson-Hinde, J., editors. The place of attachment in human behavior. New York: Basic Books; 1982. pp. 3-30.
     Google Scholar
  35. [35] Hazen C, Shaver PR, Romantic love conceptualized as an attachment process. Journal of Personality and social Psychology, 52, 1987, pp. 511-524.
     Google Scholar
  36. Belsky J, Jaffee S, Hsieh K, Silva P, Child-rearing antecedents of intergenerational relations in young adulthood: A prospective study. Developmental Psychology. 2001; 37, pp. 801-813.
     Google Scholar
  37. Aquilino, WS, Family relationships and support systems in emerging adulthood. In: Arnett, JJ.; Tanner, JL., editors. Emerging adults in America: Coming of age in the 21st century. Washington, DC: American Psychological Association; 2006. pp. 193-217.
     Google Scholar
  38. Pimpa, N, The Influence of Family on Thai Students' Choices of International Education. International Journal of Educational Management, 17(5), 2003, pp. 211-219.
     Google Scholar
  39. Muhammad Safuan, Y., Irma Wani, O., Rudy, A.R., & Norazah, M.S, Masa Depan Kerjaya, Perhubungan Kekeluargaan dan Pengangan Hidup sebagai Motif Ekspatriasi Akademik Ekspatriat Berdikari di Universiti Islam Antarabangsa Malaysia. Labuan e-Journal of Muamalat and Society, 10 (2016), 101-114.
     Google Scholar
  40. Moogan, Y. J., Baron, S., and Harris, K, Decision-Making Behaviour of Potential Higher Education Students. Higher Education Quarterly, 53(3), 1999, 211-228.
     Google Scholar
  41. Yang, M. (2007). What attracts mainland Chinese students to Australian higher edu- cation? Studies in Learning, Evaluation, Innovation and Development, 4(2), 2007, pp. 1-12.
     Google Scholar
  42. Petruzzellis, L., and Romanazzi, S, Educational Value: How Students Choose University: Evidence from An Italian University. International Journal of Educational Management, 24(2), 2010, pp. 139-158.
     Google Scholar
  43. Muhammad Safuan, Y., Irma Wani, O., Norazah, M.S., Rudie, A.R, Kerjaya Dan Ekonomi Sebagai Motif Ekspatriasi Ekspatriat Akademik Di Institusi Pengajian Tinggi Awam Malaysia. Labuan e-Journal of Muamalat and Society, 9 (2015), 36-47.
     Google Scholar
  44. Lee, C.K.C., and Morrish, S.C, Cultural Values and Higher Education Choices: Chinese Families. Australasian Marketing Journal, 20, 2012, pp.59-64
     Google Scholar
  45. Dang Thanh Nhan, Career orientation for children. Family and Gender Studies Journal, N.5 (2010), 27-38.
     Google Scholar
  46. Nguyen, H. C. (2013). Vietnamese international student mobility: past and current trends. Asian Education & Development Studies, 2(2), (2013), pp.127-148.
     Google Scholar
  47. Hair, J., Black, W., Babin, B., and Anderson, R. Multivariate data analysis (7th ed.): Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 2010. matic Research, 77(4), 2014, pp. 287-95. https://doi.org/10.1016/j.jpsychores.2014.07.001 PMID: 25280826
     Google Scholar
  48. Cortina, J. M, What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 1993, pp98.
     Google Scholar
  49. Hair, J., Anderson, R., Tatham, R. and Black, W, Multivariate data analysis, 5th Edition, Prentice Hall, New Jersey, May, 1998.
     Google Scholar
  50. Crowley, S. L., & Fan, X. (1997). Structural equation modeling: Basic concepts and applications in personality assessment research. Journal of Personality Assessment, 68(3), 508–531. https://doi.org/10.1207/s15327752jpa68034
     Google Scholar
  51. Kline, R.B, Principles and Practice of Structural Equation Modeling. Guilford Press, New York, 2011, pp. 142-167.
     Google Scholar
  52. Nachtigall, C., Kroehne, U., Funke, F., & Steyer, R, (Why) should we use SEM? Pros and cons of structural equation modeling. Methods of Psychological Research Online, 8(2),2003, pp.1-22.
     Google Scholar
  53. Ullman, J. B. Structural equation modeling: Reviewing the basics and moving forward. Journal of Personality Assessment, 87(1), Jan 2006, pp 35-50.
     Google Scholar
  54. Widaman. F., & Reise, S. P, Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G.West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research Washington, DC: American Psychological Association, 1997, pp. 281-324.
     Google Scholar
  55. Bentler, P. M. (July 1990). Comparative fit indexes in structural models. Psychological Bulletin,107, 238-246. https://doi.org/10.1037/0033-295X.86.5.452
     Google Scholar
  56. Hu, L. T., & Bentler, P. M, Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1999, 1-55.
     Google Scholar
  57. Phan Anh Tu, Trinh Thuy Hang, Research the factors affecting the intention of studying abroad after graduating of university of economics students in Can Tho University. Can Tho University Journal of Science. 46d, 2016, pp. 122-129.
     Google Scholar
  58. Ho Quoc Tuan. (September 2017). Story "fad" to study abroad. [Translated from origina Vietnamese].https://www.thesaigontimes.vn/ 264943/chuyen-mot-du-hoc.html
     Google Scholar
  59. Pakpour AH, Gellert P, Asefzadeh S, Updegraff JA, Molloy GJ, Sniehotta FF, Intention and planning predicting medication adherence following coronary artery bypass graft surgery. Journal of Psychoso-
     Google Scholar
  60. Xin Z, Liang M, Zhanyou W, Hua X, Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior. PLoS ONE 14(1), 2019, e0210964.
     Google Scholar
  61. Lin CY, Updegraff JA, Pakpour AH, The relationship between the theory of planned behavior and medi- cation adherence in patients with epilepsy. Epilepsy & Behavior, 61, 2016, pp. 231-236.
     Google Scholar