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Classifying Korean adolescents’ career preparedness

  • In Heok Lee
  • Jay W. Rojewski
  • Roger B. Hill
Article

Abstract

Latent class analysis was used to examine the career preparation of 5,227 11th-grade Korean adolescents taken from the Korean Education Longitudinal Study of 2005 (KELS:2005). Three career preparedness groups were identified, to reflecting Skorikov’s (J Vocat Behav 70:8–24, 2007) conceptualization of career preparedness: prepared, confused, and unprepared. Most individual, family, and school factors selected for study were statistically significant predictors of group membership. Results provided insight about career decidedness and career planning from a Korean context.

Keywords

Career preparation Career decision-making Career indecision 

Résumé

Classifier la préparation au choix professionnel d’adolescents coréens. L’analyse de classes latentes a été utilisée pour examiner la préparation au choix professionnel de 5,227 adolescents coréens en 11ème année, ceci à partir de l’étude longitudinale de l’éducation coréenne de 2005 (KELS:2005). Trois groupes de préparation au choix professionnel ont été identifiés, reflétant la conceptualisation de la préparation au choix professionnel de Skorikov (2007): préparé, confus, et pas prêt. La plupart des facteurs individuels, familiaux et scolaires choisis pour l’étude sont des prédicteurs statistiquement significatifs de l’appartenance au groupe. Les résultats fournissent un aperçu sur le degré de décision par rapport au choix professionnel et la planification de carrière à partir d’un contexte coréen.

Zusammenfassung

Klassifizierung der Laufbahnvorbereitung von koreanischen Jugendlichen. Latente Klassenanalyse wurde verwendet, um die Laufbahnvorbereitung von 5227 koreanischen Jugendlichen in der 11. Klasse, stammend aus der koreanischen Education Longitudinal Study von 2005 (KELS:2005), zu untersuchen. Drei Gruppen der Laufbahnbereitschaft wurden identifiziert, die Skorikovs (2007) Konzeptualisierung der Laufbahnvorbereitung reflektieren: vorbereitet, verwirrt, und unvorbereitet. Die meisten individuellen, familiären und schulischen Faktoren welche für die Studie ausgewählt wurden waren statistisch signifikante Prädiktoren der Gruppenzugehörigkeit. Die Ergebnisse gaben einen Einblick in die Laufbahn-Entschiedenheit und –Planung aus einem koreanischen Kontext.

Resumen

Clasificación de la preparación de carrera de adolescentes Coreanos. Un análisis de clase latente se utilizó para examinar la preparación de la carrera de 5,227 adolescentes Coreanos de 11° grado tomados del Estudio Longitudinal de Educación de Corea de 2005 (KELS:2005). Tres grupos de preparación de carrera fueron identificados, reflejando la conceptualización de Skorikov (2007) sobre la de la preparación para la carrera: preparados, confundidos, y no preparados. La mayoría de los factores individuales, familiares y escolares seleccionados para el estudio fueron predictores estadísticamente significativos de la pertenencia al grupo. Los resultados proporcionan conocimientos acerca de decisiones y planificación de carrera desde un contexto Coreano.

Notes

Acknowledgments

We wish to thank Donghyuck Lee for his helpful comments on an earlier version of this article. We also wish to acknowledge Editor Jérôme Rossier and anonymous reviewers for their helpful feedback and suggestions on the manuscript.

References

  1. Amir, T., & Gati, I. (2006). Facets of career decision-making difficulties. British Journal of Guidance and Counselling, 34, 483–503. doi: 10.1080/03069880600942608.CrossRefGoogle Scholar
  2. Brown, S. D., & Rector, C. C. (2008). Conceptualizing and diagnosing problems in vocational decision-making. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (4th ed., pp. 392–407). New York: Wiley.Google Scholar
  3. Collins, L. M., & Lanza, S. T. (2010). Latent class and transition analysis. Hoboken, NJ: Wiley.Google Scholar
  4. Creed, P. A., Fallon, T., & Hood, M. (2009a). The relationship between career adaptability, person and situation variables, and career concerns in young adults. Journal of Vocational Behavior, 74, 219–229. doi: 10.1016/j.jvb.2008.12.004.CrossRefGoogle Scholar
  5. Creed, P. A., Wong, O. Y., & Hood, M. (2009b). Career decision-making, career barriers and occupational aspirations in Chinese adolescents. International Journal for Educational and Vocational Guidance, 9, 189–203. doi: 10.1007/s10775-009-9165-0.CrossRefGoogle Scholar
  6. Dietrich, J., & Kracke, B. (2009). Career-specific parental behaviors in adolescents’ development. Journal of Vocational Behavior, 75, 109–119. doi: 10.1016/j.jvb.2009.03.005.CrossRefGoogle Scholar
  7. Feldt, R. C., Ferry, A., Bullock, M., Camarotti-Carvalho, A., Collingwood, M., Eilers, S., … Woelfel, C. (2010). Factorial structure of the career decision scale: Incremental validity of the five-factor domains. Measurement and Evaluation in Counseling and Development, 42, 235–245. doi: 10.1177/0748175609354575.Google Scholar
  8. Gati, I., Gadassi, R., Saka, N., Hadadi, Y., Ansenberg, N., Friedmann, R., et al. (2011). Emotional and personality-related aspects of career decision-making difficulties: Facets of career indecisiveness. Journal of Career Assessment, 19, 3–20. doi: 10.1177/1069072710382525.CrossRefGoogle Scholar
  9. Gati, I., Kleiman, T., Saka, N., & Zakai, A. (2003). Perceived benefits of using an Internet-based interactive career planning system. Journal of Vocational Behavior, 62, 272–286. doi: 10.1016/s0001-8791(02)00049-0.CrossRefGoogle Scholar
  10. Gati, I., Krausz, M., & Osipow, S. H. (1996). A taxonomy of difficulties in career decision making. Journal of Counseling Psychology, 43, 510–526. doi: 10.1037//0022-0167.43.4.510.CrossRefGoogle Scholar
  11. Gati, I., Saka, N., & Krausz, M. (2001). “Should I use a computer-assisted career guidance system?” It depends on where your career decision-making difficulties lie. British Journal of Guidance and Counselling, 29, 301–321. doi: 10.1080/03069880120073021.Google Scholar
  12. Gordon, V. N. (1998). Career decidedness types: A literature review. Career Development Quarterly, 46, 386–403. doi: 10.1002/j.2161-0045.1998.tb00715.x.CrossRefGoogle Scholar
  13. Guay, F., Ratelle, C. F., Senecal, C., Larose, S., & Deschenes, A. (2006). Distinguishing developmental from chronic career indecision: Self-efficacy, autonomy, and social support. Journal of Career Assessment, 14, 235–251. doi: 10.1177/1069072705283975.CrossRefGoogle Scholar
  14. Han, S., & Heo, J. (2008). Career counseling on campus in South Korea. Career Planning and Adult Development Journal, 24(4), 57–64.Google Scholar
  15. Hargrove, B. K., Inman, A. G., & Crane, R. L. (2005). Family interaction patterns, career planning attitudes, and vocational identity of high school adolescents. Journal of Career Development, 31, 263–278. doi: 10.1007/s10871-005-4740-1.CrossRefGoogle Scholar
  16. Hartman, B. W., Fuqua, D. R., & Jenkins, S. J. (1986). The reliability/generalizability of the construct of career indecision. Journal of Vocational Behavior, 28, 142–148. doi: 10.1016/0001-8791(86)90047-3.CrossRefGoogle Scholar
  17. Hirschi, A., Niles, S. G., & Akos, P. (2011). Engagement in adolescent career preparation: Social support, personality and the development of choice decidedness and congruence. Journal of Adolescence, 34, 173–182. doi: 10.1016/j.adolescence.2009.12.009.CrossRefGoogle Scholar
  18. Holland, J. L., Gottfredson, D. C., & Power, P. G. (1980). Some diagnostic scales for research in decision making and personality: Identity, information and barriers. Journal of Personality and Social Psychology, 39, 1191–1200. doi: 10.1037/h0077731.CrossRefGoogle Scholar
  19. Ingels, S. J., Pratt, D. J., Rogers, J. E., Siegel, P. H., & Stutts, E. S. (2005). Education longitudinal study of 2002/2004: Base-year to first follow-up data file documentation. Washington, DC: RTI International. Retrieved from http://nces.ed.gov/pubs2006/2006344.pdf.
  20. Kelly, K. R., & Lee, W. (2002). Mapping the domain of career decision problems. Journal of Vocational Behavior, 61, 302–326. doi: 10.1006/jvbe.2001.1858.CrossRefGoogle Scholar
  21. Kelly, K. R., & Pulver, C. A. (2003). Refining measurement of career indecision types: A validity study. Journal of Counseling and Development, 81, 445–454.CrossRefGoogle Scholar
  22. Kim, K. (2009). The effect of career guidance activities on career maturity of students in vocational high school. Journal of Vocational Education Research, 28, 183–200.Google Scholar
  23. Kim, Y. B., Im, H. J., Shin, H. S., Namgoog, J., Shin, J. H., & Hong, S. H. (2010). Hangook kyoyook jongdanyoungoo 2005 (VI) [Korean Education Longitudinal Study 2005(VI)]. Seoul, South Korea: Korean Educational Development Institute.Google Scholar
  24. Kim, K. A., & Jeris, L. (2009). Job loss and transformative learning: A case study of Korean women. International Journal of Continuing Education and Lifelong Learning, 2(1), 83–101.Google Scholar
  25. Kim, A., Ryu, S., & Kim, B. (2006). Chungsonyunyong jinrobaldalgumsa gyebal youngoobogoseo [Development of career development inventory for adolescents]. Seoul, South Korea: Korea Employment Information Services.Google Scholar
  26. Lanza, S. T., Bray, B. C., & Collins, L. M. (2013). An introduction to latent class and latent transition analysis. In I. B. Weiner (Series Ed.), Handbook of psychology: Vol. 2. Research methods in psychology (2nd ed., pp. 691–716). Hoboken, NJ: Wiley.Google Scholar
  27. Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling, 14, 671–694. doi: 10.1080/10705510701575602.CrossRefGoogle Scholar
  28. Lee, K. H. (2001). A cross-cultural study of the career maturity of Korean and United States high school students. Journal of Career Development, 28, 43–57. doi: 10.1023/A:1011189931409.CrossRefGoogle Scholar
  29. Lee, K. H., & Han, J. C. (1997). The maturity of career attitude comparison research according to high school students’ gender difference and curricula. Korean Journal of Counseling and Psychotherapy, 9, 335–349.Google Scholar
  30. Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
  31. Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535–569. doi: 10.1080/10705510701575396.CrossRefGoogle Scholar
  32. Osipow, S. H. (1999). Assessing career indecision. Journal of Vocational Behavior, 55, 146–155. doi: vbe.1999.1704.CrossRefGoogle Scholar
  33. Osipow, S. H., Carney, C. G., Winer, J., Yanico, B., & Koschier, M. (1976). Career decision scale (3rd ed. rev.). Odessa, FL: Psychological Assessment Resources.Google Scholar
  34. Phillips, S. D., & Panzienza, N. J. (1988). History and theory of the assessment of career development and decision-making. In W. B. Walsh & S. H. Osipow (Eds.), Career decision making (pp. 1–32). Hillsdale, NJ: Erlbaum.Google Scholar
  35. Rojewski, J. W. (1994). Career indecision types for rural adolescents from disadvantaged and nondisadvantaged backgrounds. Journal of Counseling Psychology, 41, 356–363. doi: 10.1037/0022-0167.41.3.356.CrossRefGoogle Scholar
  36. Saka, N., Gati, I., & Kelly, K. R. (2008). Emotional and personality-related aspects of career-decision-making difficulties. Journal of Career Assessment, 16, 403–424. doi: 10.1177/1069072708318900.CrossRefGoogle Scholar
  37. Santos, P. J., & Coimbra, J. L. (2000). Psychological separation and dimensions of career indecision in secondary school students. Journal of Vocational Behavior, 56, 346–362. doi: 10.1006/jvbe.2000.1719.CrossRefGoogle Scholar
  38. Savickas, M. L. (1997). Career adaptability: An integrative construct for life-span, life theory. Career Development Quarterly, 45, 247–259. doi: 10.1002/j.2161-0045.1997.tb00469.x.CrossRefGoogle Scholar
  39. 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). Hoboken, NJ: Wiley.Google Scholar
  40. Savickas, M. L., & Jarjoura, D. (1991). The career decision scale as a type indicator. Journal of Counseling Psychology, 38, 85–90. doi: 10.1037//0022-0167.38.1.85.CrossRefGoogle Scholar
  41. Skorikov, V. (2007). Continuity in adolescent career preparation and its effects on adjustment. Journal of Vocational Behavior, 70, 8–24. doi: 10.1016/j.jvb.2006.04.007.CrossRefGoogle Scholar
  42. Slaney, R. B. (1980). Expressed choice and vocational indecision. Journal of Counseling Psychology, 27, 122–129. doi: 10.1037//0022-0167.27.2.122.CrossRefGoogle Scholar
  43. Slaney, R. B. (1988). The assessment of career decision making. In W. B. Walsh & S. H. Osipow (Eds.), Career decision making (pp. 33–76). Hillsdale, NJ: Erlbaum.Google Scholar
  44. Stringer, K., Kerpelman, J., & Skorikov, V. (2011). Career preparation: A longitudinal, process-oriented examination. Journal of Vocational Behavior, 79, 158–169. doi: 10.1016/j.jvb.2010.12.012.CrossRefGoogle Scholar
  45. Tak, J., & Lee, K. H. (2003). Development of the Korean Career Indecision Inventory. Journal of Career Assessment, 11, 328–345. doi: 10.1177/1069072703254503.CrossRefGoogle Scholar
  46. Vignoli, E., Croity-Belz, S., Chapeland, V., de Fillipis, A., & Garcia, M. (2005). Career exploration in adolescents: The role of anxiety, attachment, and parenting style. Journal of Vocational Behavior, 67, 153–168. doi: 10.1016/j.jvb.2004.08.006.CrossRefGoogle Scholar
  47. Whiston, S. (1996). The relationship among family interaction patterns and career indecision and career decision-making self-efficacy. Journal of Career Development, 23, 137–149. doi: 10.1177/089484539602300204.Google Scholar
  48. Zener, T. B., & Schnuelle, L. (1976). Effects of the self-directed search on high school students. Journal of Counseling Psychology, 23, 353–359. doi: 10.1037//0022-0167.23.4.353.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • In Heok Lee
    • 1
  • Jay W. Rojewski
    • 2
  • Roger B. Hill
    • 3
  1. 1.Program of Workforce EducationUniversity of GeorgiaAthensUSA
  2. 2.Program of Workforce EducationUniversity of GeorgiaAthensUSA
  3. 3.Program of Workforce EducationUniversity of GeorgiaAthensUSA

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