The incremental bias: Likert scale to measure career interest in RIASEC theory

Year 2023, Volume: 4 Issue: 2, 59 - 66, 30.06.2023

Mudhar Mudhar , Elia Mufidah , Cindy Asli Pravesti

Abstract

Surveys based on Likert scales continue to dominate research practice. The Likert scale is the most widely adopted scale in social science studies. There has been much debate about the use of a Likert scale (eg: is it classified as ordinal or interval data, response bias, response options). This study aims to prove the weakness of the Likert scale used to measure RIASEC career interest from Holland's theory. The number of participants was 1752 high school students. The RIASEC career interest instrument was developed based on the Likert scale. Statistical analysis uses correlation to prove the relationship between types of career interest. The results show a positive correlation between types of career interest. For example, conventional with artistic (r = 0.379), investigation with interpretation (r = 0.286). What's interesting is the correlation between R–S (r = 0.134), I–E (r = 0.286), and A–C (r = 0.379) is positive, the correlation should be negative because the relationship between the two is opposite.

Keywords

Limitations, Likert Scale, Career Interest, RIASEC

References

• Ambiel, R. A., Hauck-Filho, N., Barros, L. O., Martins, G. H., Abrahams, L., & Fruyt, F. De. (2018). 18REST : a short RIASEC-interest measure for large-scale educational and vocational assessment. Psicologia: Reflexão e Crítica, 31(6), 1–11.
• Azwar, S. (2015). Penyusunan skala psikologi (2nd ed.). Pustaka Pelajar.
• Brown, A., & Maydeu-Olivares, A. (2013). How irt can solve problems of ipsative data in forced-choice questionnaires. Psychological Methods, 18(1), 36–52. https://doi.org/10.1037/a0030641
• Campbell, D. P., & Borgen, F. H. (1999). Holland ’ s Theory and the Development of Interest Inventories. Journal of Vocational Behavior, 55, 86–101.
• Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications, Inc.
• Croasmun, J. T., & Ostrom, L. (2011). Using Likert-type scales in the social sciences. Journal of Adult Education, 40(1), 19–22.
• Friedman, H. H., & Amoo, T. (1999). Rating the Rating Scales Electronic. Journal of Marketing Management, Januari, 1–11.
• Gay, L. R., Mills, G. E., & Airasian, P. W. (2009). Educational research: Competencies for analysis and applications (9th ed.). New Jersey.
• George, D., & Mallery, P. (2020). IBM SPSS Statistics 26 Step by Step: A Simple Guide And Reference. In IBM SPSS Statistics 26 Step by Step (17th ed.). Routledge. https://doi.org/10.4324/9780429056765
• Guenole, N., Brown, A. A., & Cooper, A. J. (2018). Forced-Choice Assessment of Work-Related Maladaptive Personality Traits: Preliminary Evidence From an Application of Thurstonian Item Response Modeling. Assessment, 25(4), 513–526. https://doi.org/10.1177/1073191116641181
• Hodge, D. R., & Gillespie, D. (2003). Phrase completions: An alternative to Likert scales. Social Work Research, 27(1), 45–55. https://doi.org/10.1093/swr/27.1.45
• Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Psychological Assessment Resources.
• Jamieson, S. (2004). Likert scales: How to (ab)use them. Medical Education, 38(12), 1217–1218. https://doi.org/10.1111/j.1365-2929.2004.02012.x
• Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/bjast/2015/14975
• Nauta, M. M. (2010). The Development , Evolution , and Status of Holland ’ s Theory of Vocational Personalities : Reflections and Future Directions for Counseling Psychology. Journal of Counseling Psychology, 57(1), 11–22.
• Nemoto, T., & Beglar, D. (2014). Developing Likert-scale questionnaires. JALT2013 Conference Proceedings, 1–8.
• Nye, C. D., Su, R., Rounds, J., & Drasgow, F. (2012). Vocational Interests and Performance: A Quantitative Summary of Over 60 Years of Research. Perspectives on Psychological Science, 7(4), 384–403. https://doi.org/10.1177/1745691612449021
• Oh, Y. J., Jia, Y., Lorentson, M., & LaBanca, F. (2012). Development of the Educational and Career Interest Scale in Science , Technology , and Mathematics for High School Students. Journal of Science Education and Technology.
• Orr, M. G., & Ohlsson, S. (2005). Relationship Between Complexity and Liking as a Function of Expertise. Music Perception, 22(4), 583–611.
• Prediger, D. J. (1982). Dimensions underlying Holland’s hexagon: Missing link between interests and occupations? Journal of Vocational Behavior, 21(3), 259–287. https://doi.org/10.1016/0001-8791(82)90036-7
• Rayman, J., & Atanasoff, L. (1999). Holland ’ s Theory and Career Intervention : The Power of the Hexagon. Journal of Vocational Behavior, 55, 114–126.
• Reardon, R. C., & Lenz, J. G. (1999). Holland ’ s Theory and Career Assessment. Journal of Vocational Behavior, 55, 102–113.
• Russell, C. J., & Bobko, P. (1992). Moderated Regression Analysis and Likert Scales: Too Coarse for Comfort. Journal of Applied Psychology, 77(3), 336–342. https://doi.org/10.1037/0021-9010.77.3.336
• Sari, U., Alici, M., & Sen, Ö. F. (2018). The Effect of STEM Instruction on Attitude, Career Perception and Career Interest in a Problem-based Learning Environment and Student Opinions. Electronic Journal of Science Education, 22(1), 1–21.
• Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
• Wetzel, E., & Hell, B. (2014). Multidimensional Item Response Theory Models in Vocational Interest Measurement: An Illustration Using the AIST-R. Journal of Psychoeducational Assessment, 32(4), 342–355. https://doi.org/10.1177/0734282913508244