Advertisement

Measuring change in career counseling: Validation of the Career Futures Inventory-Revised

  • Patrick J. Rottinghaus
  • Alec Eshelman
  • Jonathan S. Gore
  • Kari J. Keller
  • Madalyn Schneider
  • Kristine L. Harris
Article
First Online:

Abstract

This retrospective chart review study examined the factor structure of the Career Futures Inventory-Revised (CFI-R; Rottinghaus et al. in J Career Assess 20:123–139, 2012) and its utility as a career counseling outcome measure using a sample of 332 clients from a university career center. The CFI-R examines career agency and other career adaptability dimensions germane to clients’ career concerns. Confirmatory factor analysis results supported the proposed factor structure. Changes in CFI-R scale scores are reported for 116 clients who received counseling. The use of the CFI-R as an effectiveness outcome measure for individual, group, and classroom career interventions is addressed.

Keywords

Adaptability Maturity Assessment 

Résumé

Mesurer le changement dans le conseil en orientation: Validation de l’ Inventaire Révisé des Futurs Professionnels. Ce dossier rétrospectif présente l’étude qui a examiné la structure factorielle de l’Inventaire Révisé des Futurs Professionnels (CFI-R; Rottinghaus, Buelow, Matyja, & Schneider, 2012) et son utilité en tant que mesure du résultat du conseil en orientation sur un échantillon de 332 clients issus d’un centre de conseil en orientation universitaire. Le CFI-R examine l’agentivité de carrière et les autres dimensions de l’adaptabilité de carrière relatives aux préoccupations de carrière. Les résultats de l’analyse factorielle confirmatoire soutiennent la structure factorielle proposée. Des changements dans les scores de l’échelle CFI-R sont reportés pour 116 clients ayant bénéficié d’un conseil en orientation. L’utilisation du CFI-R en tant que mesure de l’efficacité pour les interventions de carrières individuelles, de groupe et en classe, est discutée.

Zusammenfassung

Veränderungsmessung in der Berufsberatung: Validierung des Career Futures Inventory - Revised. Diese retrospektive Studie untersucht die Faktorenstruktur des Career Futures Inventory-Revised (CFI-R; Rottinghaus, Buelow, Matyja, & Schneider, 2012) und dessen effektiven Nutzen bei der Berufsberatung anhand einer Stichprobe von 332 Klienten eines Hochschulkarrierecenters. Das CFI-R untersucht Handlungsmacht und andere Dimensionen der beruflichen Anpassungsfähigkeit entsprechend den Anliegen der Klienten. Resultate der konfirmatorischen Faktorenanalyse stützen die vorgeschlagene Faktorenstruktur. Änderungen der CFI-R Skalenwerte werden für 116 Klienten berichtet, welche eine Berufsberatung erhalten haben. Den Nutzen des CFI-R, um die Effektivität der Ergebnisse für Individuen, Gruppen und Klassen zu bestimmen, wird thematisiert.

Resumen

Medir el cambio en orientación profesional: Validación del Career Futures Inventory - Revised. Este estudio de revisión retrospectiva gráfica examinó la estructura factorial del Career Futures Inventory-Revised (TPI-R; Rottinghaus, Buelow, Matyja, y Schneider, 2012) y su utilidad como medida de resultados de la orientación profesional utilizando una muestra de 332 clientes de un centro universitario de formación profesional. El TPI-R examina la preferencia profesional y otras dimensiones de adaptabilidad relacionadas con las preocupaciones profesionales de los clientes. Los resultados del análisis factorial confirmatorio apoyaron la estructura factorial propuesta. Los cambios en las puntuaciones de la escala TPI-R son reportados por 116 clientes que recibieron asesoramiento. El uso de la CFI-R como un instrumento eficaz de medida de los resultados de las intervenciones profesionales está indicado a nivel individual, de grupo y de clase.

This is a preview of subscription content, log in to check access.

References

  1. Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26.CrossRefGoogle Scholar
  2. Blustein, D. L. (2011). A relational theory of working. Journal of Vocational Behavior, 79, 1–17. doi: 10.1016/j.jvb.2010.10.004.CrossRefGoogle Scholar
  3. Brown, S. D., & Lent, R. W. (2016). Vocational psychology: Agency, equity, and well-being. Annual Review of Psychology, 67, 541–565.CrossRefGoogle Scholar
  4. Carver, C. S., & Scheier, M. F. (1981). Attention and self-regulation: A control-theory approach to human behavior. New York, NY: Springer-Verlag.Google Scholar
  5. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.Google Scholar
  6. Creed, P. A., Fallon, T., & Hood, M. (2009). The relationship between career adaptability, person and situation variables, and career concerns in young adults. Journal of Vocational Behavior, 74, 219–229.CrossRefGoogle Scholar
  7. Creed, P. A., & Hood, M. (2015). Process variables: Maturity, identity, decision making, and adjustment. In P. J. Hartung, M. L. Savickas, & W. B. Walsh (Eds.), American Psychological Association handbook of career intervention, Volume 1: Foundations (pp. 351–372). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  8. Crites, J. O. (1973). Theory and research handbook for the Career Maturity Inventory. Monterey, CA: CTB/McGraw-Hill.Google Scholar
  9. Crites, J. O., & Savickas, M. L. (1996). Revision of the Career Maturity Inventory. Journal of Career Assessment, 4, 131–138.CrossRefGoogle Scholar
  10. Deci, E. L., & Ryan, R. M. (2000). The ‘what’ and ‘why’ of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227–268.CrossRefGoogle Scholar
  11. Eshelman, A., & Rottinghaus, P. J. (2015). Viewing adolescents’ career futures through the lenses of SES and social class. The Career Development Quarterly, 63, 320–332.CrossRefGoogle Scholar
  12. Gati, I., & Levin, N. (2015). Making better career decisions. In P. J. Hartung, M. L. Savickas, & W. B. Walsh (Eds.), American Psychological Association handbook of career intervention, Volume 2: Applications (pp. 193–207). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  13. Hartung, P. J. (2013). The life-span, life-space theory of careers. In S. D. Brown & R. Lent (Eds.), Career development and counseling: Putting theory and research to work (2nd ed., pp. 83–113). New York: Wiley.Google Scholar
  14. Hirschi, A. (2009). Career adaptability development in adolescence: Multiple predictors and effect on sense of power and life satisfaction. Journal of Vocational Behavior, 74, 145–155.CrossRefGoogle Scholar
  15. Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Odessa, FL: Psychological Assessment Resources.Google Scholar
  16. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
  17. Jöreskog, K. G., & Sörbom, D. (2004). LISREL 8.7 for Windows [Computer software]. Skokie, IL: Scientific Software International, Inc.Google Scholar
  18. Kalafat, T. (2012). Career Futures Inventory (CFI): Investigation of psychometric properties in a Turkish sample. Turkish Psychological Counseling and Guidance Journal, 4, 169–179.Google Scholar
  19. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.Google Scholar
  20. Maree, K., & Di Fabio, A. (2015). Exploring new horizons in career counselling: Turning challenge into opportunities. Rotterdam: Sense Publishers.CrossRefGoogle Scholar
  21. Martens, M. P. (2005). The use of structural equation modeling in counseling psychology research. The Counseling Psychologist, 33, 269–298.CrossRefGoogle Scholar
  22. McIlveen, P., Burton, L. J., & Beccaria, G. (2013). A short form of the Career Futures Inventory. Journal of Career Assessment, 21, 127–138. doi: 10.1177/1069072712450493.CrossRefGoogle Scholar
  23. Osipow, S. H. (1999). Assessing career indecision. Journal of Vocational Behavior, 55, 147–154.CrossRefGoogle Scholar
  24. Parsons, F. (1909). Choosing a vocation. Boston, MA: Houghton Mifflin.Google Scholar
  25. Rottinghaus, P. J., Buelow, K., Matyja, A., & Schneider, M. (2012). The Career Futures Inventory-Revised: Assessing multiple dimensions of career adaptability. Journal of Career Assessment, 20, 123–139. doi: 10.1177/1069072711420849.CrossRefGoogle Scholar
  26. Rottinghaus, P. J., Day, S. X., & Borgen, F. H. (2005). The Career Futures Inventory: A measure of career-related adaptability and optimism. Journal of Career Assessment, 13, 3–24. doi: 10.1177/1069072704270271.CrossRefGoogle Scholar
  27. Rottinghaus, P. J., & Hauser, P. M. (2013). Assessing additional constructs affecting career choice and development. In S. D. Brown & R. Lent (Eds.), Career development and counseling: Putting theory and research to work (2nd ed., pp. 477–505). New York: Wiley.Google Scholar
  28. Rottinghaus, P. J., Komarraju, M., Conrath, J. A., & Swanson, J. L. (2011). Assessing career development outcomes in a large academic department. In P. A. Gore & L. H. Phinney (Eds.), Exploring the evidence: Career development for students in transition (pp. 151–157). Columbia, SC: The National Resource Center for the First-Year Experience and Students in Transition.Google Scholar
  29. Savickas, M. L. (1997). Career adaptability: An integrative construct for life-span, life-space theory. The Career Development Quarterly, 45, 247–259.CrossRefGoogle Scholar
  30. 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
  31. Savickas, M. L., & Porfeli, E. J. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80, 661–673.CrossRefGoogle Scholar
  32. Super, D. E. (1955). Dimensions and measurement of vocational maturity. Teachers College Record, 57, 151–163.Google Scholar
  33. Super, D. E. (1957). The psychology of careers. New York, NY: Harper & Row.Google Scholar
  34. Super, D. E. (1983). Assessment in career guidance: Toward truly developmental counseling. Personnel and Guidance Journal, 61, 555–562.CrossRefGoogle Scholar
  35. Super, D. E., & Kidd, J. M. (1979). Vocational maturity in adulthood: Toward turning a model into a measure. Journal of Vocational Behavior, 14, 255–270.CrossRefGoogle Scholar
  36. Super, D. E., & Knasel, E. G. (1979). Specifications for a measure of career adaptability in young adults. Cambridge, UK: National Institute for Career Education and Counseling.Google Scholar
  37. Swanson, J. L. (1995). The process and outcome of career counseling. In W. B. Walsh & S. H. Osipow (Eds.), Handbook of vocational psychology: Theory, research, and practice (2nd ed., pp. 217–259). Hillsdale, NJ: Lawrence Erlbaum Associates Inc.Google Scholar
  38. Taylor, K. M., & Betz, N. E. (1983). Applications of self-efficacy theory to the understanding and treatment of career indecision. Journal of Vocational Behavior, 22, 63–81.CrossRefGoogle Scholar
  39. van Vianen, A. E. M., De Pater, I. E., & Preenan, P. T. Y. (2009). Adaptable careers: Maximizing less and exploring more. The Career Development Quarterly, 57, 298–309.CrossRefGoogle Scholar
  40. Vassar, M., & Holzmann, M. (2013). The retrospective chart review: Important methodological considerations. Journal of Educational Evaluation for Health Professions, 10, 12.CrossRefGoogle Scholar
  41. Whiston, S. C. (2001). Selecting career outcome assessments: An organizational scheme. Journal of Career Assessment, 9, 215–228.CrossRefGoogle Scholar
  42. Whiston, S. C., & Rahardja, D. (2008). Vocational counseling process and outcome. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (4th ed., pp. 444–461). Hoboken, NJ: Wiley.Google Scholar
  43. Whiston, S. C., & Rose, C. S. (2015). Career counseling process and outcome. In P. J. Hartung, M. L. Savickas, & W. B. Walsh (Eds.), American Psychological Association handbook of career intervention, Volume 1: Foundations (pp. 43–60). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  44. Worster, A., & Haines, T. (2004). Advanced statistics: Understanding medical record review (MRR) studies. Academic Emergency Medicine, 11(2), 187–192.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Patrick J. Rottinghaus
    • 1
  • Alec Eshelman
    • 2
  • Jonathan S. Gore
    • 3
  • Kari J. Keller
    • 4
  • Madalyn Schneider
    • 3
  • Kristine L. Harris
    • 5
  1. 1.University of Missouri—ColumbiaColumbiaUSA
  2. 2.Southern Illinois University CarbondaleCarbondaleUSA
  3. 3.Eastern Kentucky UniversityRichmondUSA
  4. 4.Texas A&M UniversityCollege StationUSA
  5. 5.Veterans Affairs Sierra Nevada Health Care SystemRenoUSA

Personalised recommendations

Cite article

Buy options