A psychometric evaluation of the career decision making self-efficacy scale

Chandra Yudistira Purnama; Linda Ernawati

doi:10.21831/pep.v25i1.39960

A psychometric evaluation of the career decision making self-efficacy scale

Chandra Yudistira Purnama, Universitas Jenderal Achmad Yani, Indonesia
Linda Ernawati, Universitas Jendral Achmad Yani, Indonesia

10.21831/pep.v25i1.39960

Abstract

The assessment tool for a career currently being developed requires special treatment from a psychologist/psychometrist. The measurements are conducted when students are confused about career options. However, for students who have decided, it is uncommon for them to seek professional help. Psychological tools that focus on capturing information about students’ maturity in relation to their ability to make career decisions can help them choose a major that is suitable for their career. This study concerns adapting the career decision-making self-efficacy (CDMSE) that can predict one’s confidence in his/her ability to make career choices. The adaptation of this instrument went through several stages such as translation, back translation, testing the reliability, and testing the validity evidence of content and internal structure using confirmatory factor analysis (CFA). This study used a sample of 539 high school students in Bandung and Cimahi. The construct reliability (CR) of the instrument was α=0.929. The evidence for internal structure using CFA showed that the CDMSE scale has an acceptable goodness of fit index. The standardized loading factor item is in the range 0.710-0.998. It can be concluded that the Bahasa Indonesia version of the CDMSE scale has good psychometric properties and can be used for research or assessment to measure a person’s degree of confidence about his/her ability to make career choices.

Keywords

career; CDMSE (Career Decision Making Self Efficacy); CFA

Full Text:

PDF

References

Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012

American Educational Research Association (AERA), American Psychological Association (APA), & National Council on Measurement in Education (NCME). (2014). Standards for educational and psychological testing. American Educational Research Association (AERA), American Psychological Association (APA), and National Council on Measurement in Education (NCME).

Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815–824. https://doi.org/10.1016/j.paid.2006.09.018

Bergh, D. (2015). Chi-squared test of fit and sample size - A comparison between a random sample approach and a Chi-square value adjustment method. Journal of Applied Measurement, 16(2), 204–217.

Betz, N. E., Klein, K. L., & Taylor, K. M. (1996). Evaluation of a short form of the career decision-making self-efficacy scale. Journal of Career Assessment, 4(1), 47–57. https://doi.org/10.1177/106907279600400103

Creed, P., Prideaux, L.-A., & Patton, W. (2005). Antecedents and consequences of career decisional states in adolescence. Journal of Vocational Behavior, 67(3), 397–412. https://doi.org/10.1016/j.jvb.2004.08.008

Ferdinand, A. T. (2011). Metode penelitian manajemen: Pedoman penelitian untuk penulisan skripsi, thesis, dan disertasi Ilmu Manajemen. Universitas Diponegoro.

Ghozali, I., & Fuad, F. (2005). Structural equation modeling: Teori, konsep, & aplikasi dengan program Lisrel 8.54. Universitas Diponegoro.

Goss-Sampson, M. A. (2018). Statistical analysis in JASP: A guide for students. https://static.jasp-stats.org/Statistical Analysis in JASP - A Students Guide v2.pdf

Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Pearson.

Heise, D. R., & Bohrnstedt, G. W. (1970). Validity, invalidity, and reliability. Sociological Methodology, 2, 104–129. https://doi.org/10.2307/270785

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Hurlock, E. B. (1972). Child development (McGraw-Hill series in psychology). McGraw-Hill.

International Test Commission. (2016). The ITC guidelines for translating and adapting tests (2nd ed.). International Test Commission (ITC). https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf

Islamadina, E. F., & Yulianti, A. (2017). Persepsi terhadap dukungan orangtua dan kesulitan pengambilan keputusan karir pada remaja. Jurnal Psikologi, 12(1), 33–38. https://doi.org/10.24014/jp.v12i1.3006

Lewis, C. C. (1981). How adolescents approach decisions: Changes over grades seven to twelve and policy implications. Child Development, 52(2), 538–544. https://doi.org/10.2307/1129172

Pallant, J. (2011). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Open University Press.

Seligman, L. (1994). Developmental career counseling and assessment (2nd ed.). SAGE Publication.

Super, C. M., & Super, D. E. (2001). Opportunities in psychology careers. McGraw-Hill.

Suryanti, R., Yusuf, M., & Priyatama, A. N. (2011). Hubungan antara Locus of Control internal dan konsep diri dengan kematangan karir pada siswa kelas XI SMK Negeri 2 Surakarta. Wacana: Jurnal Psikologi, 3(1). https://jurnalwacana.psikologi.fk.uns.ac.id/index.php/wacana/article/view/46

Walsh, W. B., Bingham, R. P., Brown, M. T., Ward, C. M., & Osipow, S. H. (Eds.). (2000). Career counseling for African Americans. Lawrence Erlbaum Associates.

DOI: https://doi.org/10.21831/pep.v25i1.39960