This study aims to describe the pattern of categorization of the certainty of career plan choices for educational program students and its relationship with their demographic characteristics. Respondents totaled 377 people (male = 176 and famale = 201) who were drawn randomly from a number of education program students at the University of Lampung. Data on the certainty of students' career plan choices is collected through the CCCS (Career Choice Certainty Scale). The research found that in general the categorization of the certainty of education students' career plan choices is patterned Quite Certain, Not Certain, Certain, Very Certain, Uncertain, and Very Uncertain. In detail, the pattern of categorization of the certainty of students' career plan choices varies according to the grouping of their demographic characteristics (gender: male and female, place of residence: urban and suburban, study program: scientific and social, and family socio-economic status: high, medium, low). The results of examining the relationship between the categorization of the certainty of career plans and students' demographic characteristics, it turns out that where they live, the chosen study program, and the socio-economic status of students' families are significantly related to the certainty of their career choice plans, although the strength of the relationship between these variables is categorized as weak. Meanwhile, the student gender variable was not significantly related to the certainty of their career choice plans.
| Published in | Education Journal (Volume 13, Issue 1) |
| DOI | 10.11648/j.edu.20241301.15 |
| Page(s) | 34-45 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Categorization Patterns, Certainty of Career Choices, Demographic Characteristics, Students
| [1] | Dahlan, S, Idris, E, dan Susanto, E (2020). Improve student career certainty using self-information: A career counseling in the school. Cypriot Journal of Educational Sciences. 15(6) December: 1480-1494. https://un-pub.eu/ojs/index.php/cjes/article/view/5292; https://doi.org/10.18844/cjes.v15i6.5292 |
| [2] | Hidayat, D. R., Kustandi, C., & Alfan, R. (2019). Career Decision-Making Difficulties Among High School Students in Jakarta and West Java: A Need Analysis For Career Guidance Application Development. International Journal of Innovation, Creativity, and Change, 5(4), 719–727. www.ijicc.net |
| [3] | Kirdök, O., & Harman, E. (2018). High school students ’ career decision-making difficulties according to locus of control. Universal Journal of Educational Research, 6(2), 242–248. https://doi.org/10.13189/ujer.2018.060205 |
| [4] | DiFabio, A., Palazzeschi, L., Peretz, A. L., & Gati, I. (2013). Career indecision versus indecisiveness: Associations with personality traits and emotional intelligence. Journal of Career Assessment, 21(1), 42–56. https://doi.org/10.1177/1069072712454698 |
| [5] | Vaiopoulou, J., Papavassiliou-Alexiou, I., & Stamovlasis, D. (2019). Career decision-making difficulties and decision statuses among Greek student teachers. Hellenic Journal of Psychology, 16(1), 74–94. |
| [6] | Ran, Z. O. U., Zeb, S., Nisar, F., Yasmin, F., Poulova, P., & Haider, S. A. (2022). The Impact of Emotional Intelligence on Career Decision-Making Difficulties and Generalized Self-Efficacy Among University Students in China. Psychology Research and Behavior Management, 15, 865–874. https://doi.org/10.2147/PRBM.S358742 |
| [7] | Álvarez-González, M. (2008). Career maturity: A priority for secondary education. Journal of Research Educational Psychology, 6 (3), 749-772. |
| [8] | Choi, Y., Kim, J., & Kim, S. (2015). Career development and school success in adolescents: The role of career interventions. The Career Development Quarterly, 171186. |
| [9] | Cabras, C., & Mondo, M. (2017). Future orientation as a mediator between career adaptability and life satisfaction in university students. Journal of Career Development, 45(6), 597–609. https://doi.org/10.1177/0894845317727616 |
| [10] | Cardoso, P., Duarte, M. E., Pacheco, L., & Janeiro, I. N. (2022). Life design group-based intervention fostering vocational identity, career adaptability, and career decision-making self-efficacy. Cypriot Journal of Education, 17(SI.1), 1453–1467. https://doi.org/10.18844/cjes.v17iSI.1.6674 |
| [11] | Super, D. E. (1990). A life-span, life-space approach to career development. In L. Brown & D. Brooks (Eds.), Career choice and development (2nd ed., pp. 197–261). Jossey Bass Publishers. |
| [12] | Milsom, A., & Coughlin, J. (2017). Examining person-environment fit and academic major satisfaction. Journal of College Counseling, 250-262. |
| [13] | Kimongo Kemboi, R. J., Kindiki, N., & Misigo, B. (2016). Relationship between personality types and career choices of undergraduate students: A case of Moi University, Kenya. Journal of Education and Practice, 7(3), 102-112. https://files.eric.ed.gov/fulltext/EJ1089785.pdf |
| [14] | Etzel, J. M., & Nagy, G. (2015). Student's perceptions of person-environment fit: Do fit perceptions predict academic success beyond personality traits? Journal of Career Assessment, 1-19. |
| [15] | Sheldon, K. M. (2014). Becoming oneself: The central role of self-concordant goal selection. Personality and Social Psychology Review, 18, 349–365. |
| [16] | Rahim, N. S. A., Jaafar, W. M. W., & Arsad, N. M. (2021). Career Maturity and Career Decision-Making Self-Efficacy as Predictors of Career Adaptability among Students in Foundation Program, Universiti Putra Malaysia. Asian Journal of University Education, 17(4), 464–477. https://doi.org/10.24191/ajue.v17i4.16181 |
| [17] | Winga, M. A. (2021). Career Aspirations and Decision Making Self Efficacy: Secondary School Students’ Assessment Based on KCSE Exams in Kenya. Educational Research and Reviews, 16(4), 104–108. https://doi.org/10.5897/err2021.4142 |
| [18] | Xin, L., Tang, F., Li, M., & Zhou, W. (2020). From school to work: Improving graduates’ career decision-making self-efficacy. Sustainability (Switzerland), 12(3). https://doi.org/10.3390/su12030804 |
| [19] | Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities & work environments. (3rd Ed.). Odessa. FL: Psychological Assessment Resources. |
| [20] | Super, D. E., Savickas, M. L., & Super, C. M. (1996). A life-span, life-space approach to careers. In D. Brown & L. Brooks (Eds.), Career choice and development (3rd ed., pp. 121–178). San Fransisco: Jossey-Bass. |
| [21] | Babarovic, T., & Šverko, I. (2016). Vocational development in adolescence: Career construction, career decision-making difficulties and career adaptability of Croatian high school students. Primenjena Psihologija, 4, 429–448. https://doi.org/10.19090/pp.2016.4.429-448 |
| [22] | Migunde, Q., Othuon, L., & Mbagaya, C. (2015). Career maturity and career decision-making status of secondary school students in Kisumu Municipality, Kenya. International Research Journals, 6(3), 50–54. |
| [23] | Kenny, M. E. & Mary Beth Medvide. (2013). Relational influences on career development. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: Putting theory and research to work (2nd ed., pp. 299–328). John Wiley & Sons. |
| [24] | Heppner, M. J. (2013). Women, men, and work: The long road to gender equity. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: Putting theory and research to work (2nd ed., pp. 187–214). John Wiley & Sons. |
| [25] | Johnson, I. Y., & Muse, W. B. (2016). Choice of academic major at public research university: The role of gender and self-efficacy. Research of Higher Education. https://doi.org/10.1007/s11162-016-9431-1. |
| [26] | Fouad, N. A. & Kantamneni, N. (2013). The role of race and ethnicity in career choice, development, and adjustment. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: Putting theory and research to work (2nd ed., pp. 215–244). John Wiley & Sons. |
| [27] | Vargas-Salfate, S., Paez, D., Liu, J. H., Pratto, F., & Pratto, F., & de Zuniga, H. G. (2018). A comparison of social dominance theory and system justification: The role of social status in 19 nations. Personality and Social Psychology Bulletin, 44, 1060–1076. |
| [28] | Juntunen, C. L.; Motl, T. C.; Rozzi, M. Major career theories: International and developmental perspectives. In International Handbook of Career Guidance; Athanasou, J. A., Perera, H. N., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 45–72. [CrossRef] |
| [29] | Wu, S., Zhang, K., Zhou, S., & Chen, W. (2020). Personality and career decision-making self-efficacy of students from poor rural areas in China. Social Behavior and Personality, 48(5). https://doi.org/10.2224/sbp.8753 |
| [30] | Lapan, R. T., Tucker, B., Kim, S. K., & Kosciulek, J. F. (2003). Preparing rural adolescents for post-high school transitions. Journal of Counseling & Development, 81(3), 329–342. https://doi.org/10.1002/j.1556-6678.2003.tb00260.x |
| [31] | Kennelly, E.; Sargent, A.; Reardon, R. RIASEC Literature from 1953-2016: Bibliographic References to Holland’s Theory, Research, and Applications (Technical Report No. 58); Technical Report; Florida State University: Tallahassee, FL, USA 2018; https://doi.org/10.17125/fsu.1519670557 [CrossRef] |
| [32] | Sack, M. A. (2015). Job Search Success: A review and integration of the predictors, behaviours, and outcomes. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: Putting theory and research to work (3rd ed., pp. 155–179). John Wiley & Sons. |
| [33] | Wilkins, K. G.; Tracey, T. J. G. Person environment fit and vocational outcomes. In Psycho-Social Career Meta-Capacities: Dynamics of Contemporary Career Development; Coetzee, M., Ed.; Springer International Publishing: Cham, Switzerland, 2014; pp. 123–138. |
| [34] | Holland, J. L. (1985). Making vocational choices: Theory of vocational personalities & work environments. (2nd. Ed.) Englewood Cliffs, N. J: Printice-hall. |
| [35] | DiFabio, A., Palazzeschi, L.,, N., & Gati, I. (2015). The role of personality in the career decision-making difficulties of Italian young adults. Journal of Career Assessment, 23(2), 281–293. https://doi.org/10.1177/1069072714535031 |
| [36] | Brown, S. D. & Andreas Hirschi. (2013). Personality, career development, and occupational attainment. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: Putting theory and research to work (2nd ed., pp. 299–328). John Wiley & Sons. |
| [37] | Kazi, A. S., & Akhlaq, A. (2017). Factors affecting students’ career choice. Journal of Research and Reflections in Education, 11(2), 187–196. |
| [38] | Su, R.; Murdock, C.; Rounds, J. Person-environment fit. In APAHandbook of Career Intervention, Volume 1: Foundations; Hartung, P. J., Savickas, M. L., Walsh, W. B., Eds.; APA Handbooks in Psychology®; American Psychological Association: Washington, DC, USA, 2015; pp. 81–98. [CrossRef] |
| [39] | Parsons, F. (1909). Choosing a vocation, Boston: Houghton-Miff in. |
| [40] | Depnaker RI dan BPS.(1982). Klasifikasi Jabatan Indonesia (KJI). Jakarta: Author. |
| [41] | Dahlan, S. (2010). Model konseling untuk mepastikan pilihan karier konseli (Studi pengembangan berdasarkan teori pilihan karier Holland pada mahasiswa SMA di Bandarlampung). SPs UPI. Bandung. Disertasi Doktor. |
| [42] | Aiken, L. R. (1988). Psychological Testing and Assessment. (6th Ed.) Boston: Allyn Bacon. |
| [43] | Dahlan, S (2021). Self-Assessment Based Counseling: A Further Study Planning Service in High School. International Journal of Instruction. 14 (1): 411-426. http://www.e-iji.net/dosyalar/iji_2021_1_24.pdf |
| [44] | Álvarez-Justel, J., & Ruiz-Bueno, A. (2021). Decision-making profiles and characteristics in secondary-school students. RELIEVE - Revista Electronica de Investigacion y Evaluacion Educativa, 27(1), 1–16. https://doi.org/10.30827/relieve.v27i1.21421 |
| [45] | Goliath, D. (2012). Career indecision amongst undergraduate university students at an academic institution in the Western Cape. University of the Western Cape. |
APA Style
Dahlan, S. (2024). Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students. Education Journal, 13(1), 34-45. https://doi.org/10.11648/j.edu.20241301.15
ACS Style
Dahlan, S. Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students. Educ. J. 2024, 13(1), 34-45. doi: 10.11648/j.edu.20241301.15
AMA Style
Dahlan S. Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students. Educ J. 2024;13(1):34-45. doi: 10.11648/j.edu.20241301.15
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.edu.20241301.15,
author = {Syarifuddin Dahlan},
title = {Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students},
journal = {Education Journal},
volume = {13},
number = {1},
pages = {34-45},
doi = {10.11648/j.edu.20241301.15},
url = {https://doi.org/10.11648/j.edu.20241301.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20241301.15},
abstract = {This study aims to describe the pattern of categorization of the certainty of career plan choices for educational program students and its relationship with their demographic characteristics. Respondents totaled 377 people (male = 176 and famale = 201) who were drawn randomly from a number of education program students at the University of Lampung. Data on the certainty of students' career plan choices is collected through the CCCS (Career Choice Certainty Scale). The research found that in general the categorization of the certainty of education students' career plan choices is patterned Quite Certain, Not Certain, Certain, Very Certain, Uncertain, and Very Uncertain. In detail, the pattern of categorization of the certainty of students' career plan choices varies according to the grouping of their demographic characteristics (gender: male and female, place of residence: urban and suburban, study program: scientific and social, and family socio-economic status: high, medium, low). The results of examining the relationship between the categorization of the certainty of career plans and students' demographic characteristics, it turns out that where they live, the chosen study program, and the socio-economic status of students' families are significantly related to the certainty of their career choice plans, although the strength of the relationship between these variables is categorized as weak. Meanwhile, the student gender variable was not significantly related to the certainty of their career choice plans.
},
year = {2024}
}
TY - JOUR T1 - Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students AU - Syarifuddin Dahlan Y1 - 2024/02/28 PY - 2024 N1 - https://doi.org/10.11648/j.edu.20241301.15 DO - 10.11648/j.edu.20241301.15 T2 - Education Journal JF - Education Journal JO - Education Journal SP - 34 EP - 45 PB - Science Publishing Group SN - 2327-2619 UR - https://doi.org/10.11648/j.edu.20241301.15 AB - This study aims to describe the pattern of categorization of the certainty of career plan choices for educational program students and its relationship with their demographic characteristics. Respondents totaled 377 people (male = 176 and famale = 201) who were drawn randomly from a number of education program students at the University of Lampung. Data on the certainty of students' career plan choices is collected through the CCCS (Career Choice Certainty Scale). The research found that in general the categorization of the certainty of education students' career plan choices is patterned Quite Certain, Not Certain, Certain, Very Certain, Uncertain, and Very Uncertain. In detail, the pattern of categorization of the certainty of students' career plan choices varies according to the grouping of their demographic characteristics (gender: male and female, place of residence: urban and suburban, study program: scientific and social, and family socio-economic status: high, medium, low). The results of examining the relationship between the categorization of the certainty of career plans and students' demographic characteristics, it turns out that where they live, the chosen study program, and the socio-economic status of students' families are significantly related to the certainty of their career choice plans, although the strength of the relationship between these variables is categorized as weak. Meanwhile, the student gender variable was not significantly related to the certainty of their career choice plans. VL - 13 IS - 1 ER -
Department of Guidance and Counseling, University Lampung, Bandar Lampung, Indonesia
