Adaptation and initial validation of the Career Resources Questionnaire for Portuguese – HE Students form
Abstract
A diversified set of career resources has been related in the literature with career development and career success. The Career Resources Questionnaire (CRQ), based on the Career Success framework, was proposed by Hirschi and colleagues (2018) as an instrument aggregating several constructs that emerged as important predictors of career success. This study aims to examine the psychometric properties of the CRQ to a Portuguese higher education sample, as a way to extend previous evidence of validity presented by the authors of the original version. For such, construct, convergent and discriminant validity were examined. Also, reliability and correlations analysis were conducted, taking some sociodemographic and educational attainment variables. The obtained findings showed adequate results, which support the use of the CRQ in Portugal for research or practical purposes. Suggestions for further research and practical implications are also presented.
Keywords
Full Text:
PDFReferences
Allen, J., & van der Velden, R. (2012). Skills for the 21st century: Implications for education. Maastricht University School of Business and Economics.
Arbuckle, J. L. (2008). AMOS 17 Users’ guide. SPSS.
Bennion, A., Scesa, A., & Williams, R. (2011). The benefits of part-time undergraduate study and UK Higher Education policy: A literature review. Higher Education Quarterly, 65(2), 145-163. https://doi.org/10.1111/j.1468-2273.2010.00482.x
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. https://doi.org/10.1037/0033-2909.107.2.238
Blasko, Z., Brennan, J., Little, B., & Shah, T. (2002). Access to what: Analysis of factors determining graduate employability. Centre for Higher Education Research and Information.
Bridgstock, R. (2009). The graduate attributes we’ve overlooked: Enhancing graduate employability through career management skills. Higher Education Research & Development, 28(1), 31-44. https://doi.org/10.1080/07294360802444347
Brine, J., & Waller, R. (2004). Working-class women on an access course: Risk, opportunity and (re)constructing identities. Gender and Education, 16(1), 97-113. https://doi.org/10.1080/0954025032000170363
Creed, P. A., Patton, W., & Prideaux, L.-A. (2007). Predicting change over time in career planning and career exploration for high school students. Journal of Adolescence, 30(3), 377-392. https://doi.org/10.1016/j.adolescence.2006.04.003
Edwards, M. (2014). The impact of placements on students’ self-efficacy. Higher Education, Skills and Work-Based Learning, 4(3), 228-241. https://doi.org/10.1108/HESWBL-05-2014-0015
Egerton, M., & Parry, G. (2001). Lifelong debt: Rates of return to mature study. Higher Education Quarterly, 55(1), 4-27. https://doi.org/10.1111/1468-2273.00171
Erola, J., Jalonen, S., & Lehti, H. (2016). Parental education, class and income over early life course and children’s achievement. Research in Social Stratification and Mobility, 44, 33-43. https://doi.org/10.1016/j.rssm.2016.01.003
Fornell, C., & Larcker, D. F. (1981). Structural Equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.1177/002224378101800313
Froehlich, D. E., Beausaert, S. A. J., & Segers, M. S. R. (2015). Age, employability and the role of learning activities and their motivational antecedents: A conceptual model. The International Journal of Human Resource Management, 26(16), 2087-2101. https://doi.org/10.1080/09585192.2014.971846
Fuller, B., & Marler, L. E. (2009). Change driven by nature: A meta-analytic review of the proactive personality literature. Journal of Vocational Behavior, 75(3), 329-345. https://doi.org/10.1016/j.jvb.2009.05.008
Hemphill, J. F. (2003). Interpreting the magnitudes of correlation coefficients. American Psychologist, 58(1), 78-79. https://doi.org/10.1037/0003-066X.58.1.78
Hirschi, A., Nagy, N., Baumeler, F., Johnston, C. S., & Spurk, D. (2018). Assessing key predictors of career success. Journal of Career Assessment, 26(2), 338-358. https://doi.org/10.1177/1069072717695584
Jamieson, A., Sabates, R., Woodley, A., & Feinstein, L. (2009). The benefits of higher education study for part-time students. Studies in Higher Education, 34(3), 245-262. https://doi.org/10.1080/03075070802597010
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory Into Practice, 41(4), 212-218. https://doi.org/10.1207/s15430421tip4104_2
Lau, H.-H., Hsu, H.-Y., Acosta, S., & Hsu, T.-L. (2014). Impact of participation in extra-curricular activities during college on graduate employability: An empirical study of graduates of Taiwanese business schools. Educational Studies, 40(1), 26-47. https://doi.org/10.1080/03055698.2013.830244
Marôco, J. (2014). Análise de equações estruturais: Fundamentos teóricos, software e aplicações. ReportNumber.
Monteiro, S., & Almeida, L. S. (2015). The relation of career adaptability to work experience, extracurricular activities, and work transition in Portuguese graduate students. Journal of Vocational Behavior, 91, 106-112. https://doi.org/10.1016/j.jvb.2015.09.006
Monteiro, S., Almeida, L. S., & García-Aracil, A. (2020). “It’s a very different world”: Transition to work and perceived employability of Higher Education graduates. Higher Education, Skills and Work-Based Learning, 11(1). https://doi.org/10.1108/HESWBL-10-2019-0141
Monteiro, S., Almeida, L. S., Gomes, C., & Sinval, J. (2020). Employability profiles of higher education graduates: A person-oriented approach. Studies in Higher Education, 1-14. https://doi.org/10.1080/03075079.2020.1761785
Munson, W. W., & Savickas, M. L. (1998). Relation between leisure and career development of college students. Journal of Vocational Behavior, 53(2), 243-253. https://doi.org/10.1006/jvbe.1998.1616
Ng, T. W. H., Eby, L. T., Sorensen, K. L., & Feldman, D. C. (2005). Predictors of objective and subjective career success: A meta-analysis. Personnel Psychology, 58(2), 367-408. https://doi.org/10.1111/j.1744-6570.2005.00515.x
Ng, T. W. H., & Feldman, D. C. (2014). Subjective career success: A meta-analytic review. Journal of Vocational Behavior, 85(2), 169-179. https://doi.org/10.1016/j.jvb.2014.06.001
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill, Inc.
Phillips, S. D., Blustein, D. L., Jobin-Davis, K., & White, S. F. (2002). Preparation for the school-to-work transition: The views of high school Students. Journal of Vocational Behavior, 61(2), 202-216. https://doi.org/10.1006/jvbe.2001.1853
Pinto, L. H., & Ramalheira, D. C. (2017). Perceived employability of business graduates: The effect of academic performance and extracurricular activities. Journal of Vocational Behavior, 99, 165-178. https://doi.org/10.1016/j.jvb.2017.01.005
Potts, D. (2015). Understanding the early career benefits of learning abroad programs. Journal of Studies in International Education, 19(5), 441-459. https://doi.org/10.1177/1028315315579241
Rudolph, C. W., Lavigne, K. N., Katz, I. M., & Zacher, H. (2017). Linking dimensions of career adaptability to adaptation results: A meta-analysis. Journal of Vocational Behavior, 102, 151-173. https://doi.org/10.1016/j.jvb.2017.06.003
Rudolph, C. W., Lavigne, K. N., & Zacher, H. (2017). Career adaptability: A meta-analysis of relationships with measures of adaptivity, adapting responses, and adaptation results. Journal of Vocational Behavior, 98, 17-34. https://doi.org/10.1016/j.jvb.2016.09.002
Silva, E. (2008). Measuring skills for the 21st century. Education Sector. http://www.educationsector.org
Swain, J., & Hammond, C. (2011). The motivations and outcomes of studying for part-time mature students in higher education: The motivations and outcomes of studying for part-time mature students in higher education. International Journal of Lifelong Learning, 30(5), 591-612. https://doi.org/10.1080/02601370.2011.579736
Thompson, L. J., Clark, G., Walker, M., & Whyatt, J. D. (2013). ‘It’s just like an extra string to your bow’: Exploring higher education students’ perceptions and experiences of extracurricular activity and employability. Active Learning in Higher Education, 14(2), 135-147. https://doi.org/10.1177/1469787413481129
Tinsley, H. E. A., Hinson, J. A., Tinsley, D. J., & Holt, M. S. (1993). Attributes of leisure and work experiences. Journal of Counseling Psychology, 40, 447-455. https://doi.org/10.1037/0022-0167.40.4.447
Tomlinson, M. (2017). Forms of graduate capital and their relationship to graduate employability. Education and Training, 59(4), 338-352. https://doi.org/10.1108/ET-05-2016-0090
Tuononen, T., Parpala, A., & Lindblom-Ylänne, S. (2019). Graduates’ evaluations of usefulness of university education, and early career success: A longitudinal study of the transition to working life. Assessment and Evaluation in Higher Education, 44(4), 581-595. https://doi.org/10.1080/02602938.2018.1524000
Van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students’ self-efficacy in higher education. Educational Research Review, 6(2), 95-108. https://doi.org/10.1016/j.edurev.2010.10.003
Wu, H. C., Liu, A., & Wang, C. (2010). Taiwanese University students’ perceived freedom and participation in leisure. Annals of Leisure Research, 13(4), 679-700. https://doi.org/10.1080/11745398.2010.9686870
Zhao, H., O’Connor, G., Wu, J., & Lumpkin, G. T. (2020). Age and entrepreneurial career success: A review and a meta-analysis. Journal of Business Venturing, 36(1), 106007. https://doi.org/10.1016/j.jbusvent.2020.106007
DOI: https://doi.org/10.14417/ap.1841
Refbacks
- There are currently no refbacks.
Nº ERC: 107494 | ISSN (in print): 0870-8231 | ISSN (online): 1646-6020 | Copyright © ISPA - CRL, 2012 | Rua Jardim do Tabaco, 34, 1149-041 Lisboa | NIF: 501313672 | The portal and metadata are licensed under the license Creative Commons CC BY-NC