Since its inception at the turn of the 20th century, vocational psychology has thrived as a result of empirical research and theoretical advances. Early studies identifying the nature of educational and career interests (Strong, 1936) and their relation to abilities (Hartman & Dashiell, 1919), and career outcomes (DiMichael, 1949) are just a few examples of how early vocational psychologists applied research methods and measurement in an effort to promote effective career decision-making. Early theories of career counselling and development often guided these research efforts and were, in turn, informed and modified by empirical findings. In the last century, our discipline has amassed a considerable volume of research. Surprisingly, however, we continue to ask similar questions with respect to the nature of educational and vocational interests (Darcy & Tracey, 2007), and their relation to abilities (Tracey & Hopkins, 2001) and important academic and career outcomes (Tracey & Robbins, 2006). One of the biggest challenges faced by scientific disciplines is that of synthesising and summarising a large number of individual studies in such a way that researchers, theoreticians, and practitioners can draw meaningful conclusions. The statistical techniques of meta-analysis permit researchers to rise to this challenge and it is this topic that will be the focus of this chapter.
The goals of this chapter are twofold. First, this chapter will provide the reader with a fundamental understanding of the family of statistical analyses collectively referred to as meta-analysis. This will include an overview of the procedure, and a brief review of the steps involved in conducting a meta-analysis. Discussion of this topic will be conceptual rather than mathematical. As such, this chapter is not a comprehensive review of current issues in meta-analyses nor will it provide sufficient procedural guidance for the reader to actually conduct an analysis. Those wishing a more comprehensive coverage of current conceptual and procedural issues should refer to Hedges and Pigott (2004), Hunter and Schmidt (1990), Kline (2004), Lipsey and Wilson (2001), and Quintana and Minami (2006).
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References
Brown, S. D., Ryan Krane, N. E., Brecheisen, J., Castelino, P., Budisin, I., Miller, M., & Edens, L. (2003). Critical ingredients of career choice interventions: More analyses and new hypotheses. Journal of Vocational Behavior, 62, 411–428.
Brown, S. D., & Ryan Krane, N. E. (2000). Four (or five) sessions and a cloud of dust: Old assumptions and new observations about career counseling. In S. D. Brown & Ro. W. Lent (Eds.), Handbook of counseling psychology (3rd ed., pp. 740–766). New York: Wiley.
Burnham, P. S. (1942). Stability of interests. School and Society, 55, 332–335.
Carver, R. (1978). The case against statistical significance testing. Harvard Educational Review, 48, 378–399.
Cheung, M. W. L., & Chan, W. (2005). Meta-analytic structural equation modeling: A two-stage approach. Psychological Methods, 10, 40–64.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Darcy, M. U. A., & Tracey, T. J. G. (2007). Circumplex structure of Holland’s RIASEC interests across gender and time. Journal of Counseling Psychology, 54, 17–31.
DiMichael, S. G. (1949). Work satisfaction and work efficiency of vocational counselors as related to measured interests. Journal of Applied Psychology, 33, 319–329.
Eysenck, H. J. (1952). The effects of psychotherapy: An evaluation. Journal of Consulting and Clinical Psychology, 16, 319–324.
Friedman, H. (1968). Magnitude of experimental effect and a table for its rapid estimation. Psychological Bulletin, 70, 245–251.
Greenland, S. (1994). A critical look at some popular meta-analytic methods. American Journal of Epidemiology, 140, 290–296.
Hartman, R., & Dashiell, J. F. (1919). An experiment to determine the relation of interest to abilities. Psychological Bulletin, 16, 259–262.
Hedges, L. V. (1994). Statistical considerations. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 29–38). New York: Russell Sage Foundation.
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.
Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta. Psychological Methods, 9, 426–445.
Hunter, J. E., & Schmidt, F. L. (1990). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage.
Hunter, J. E., Schmidt, F. L., & Jackson, G. (1982). Meta-analysis: Cumulating research findings across studies. Beverly Hills, CA: Sage.
Kline, R. E. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, DC: American Psychological Association.
Le, H., Casillas, A., Robbins, S. B., & Langley, R. (2004). Motivational and skills, social, and self-management predictors of college outcomes. Constructing the Student Readiness Inventory. Educational and Psychological Measurement, 65, 482–508.
Lipsey, M. W., & Wilson, D. B. (2001) Practical meta-analysis. Thousand Oaks, CA: Sage.
Low, K. S. D., Yoon, M., Roberts, B. W., & Rounds, J. (2005). The stability of vocational interests from early adolescence to middle adulthood: A quantitative review of longitudinal studies. Psychological Bulletin, 131, 713–737.
Lubinski, D., & Dawis, R. V. (1995). Assessing individual difference in human behavior: New methods, concepts, and findings. Palo Alto, CA: Davies-Black.
McDaniel, M. A., Whetzel, D. L., Schmidt, F. L., & Maurer, S. D. (1994). The validity of employment interviews: A comprehensive review and meta-analysis. Journal of Applied Psychology, 79, 599–616.
Oliver, L. W., & Spokane, A. R. (1988). Career intervention outcome: What contributes to client gain? Journal of Counseling Psychology, 35, 447–462.
Quintana, S. M., & Minami, T. (2006). Guidelines for meta-analysis of counseling psychology research. Counseling Psychologist, 34, 839–877.
Raudenbush, S. W. (1994). Random effects models. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 301–321). New York: Russell Sage Foundation.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130, 261–288.
Rosenthal, R. (1984). Meta-analytic procedures for social research. Beverly Hills, CA: Sage.
Rottinghaus, P. J., Coon, K. L., Gaffey, A. R., & Zytowski, D. G. (2007). Thirty-year stability and predictive validity of vocational interests. Journal of Career Assessment, 15, 5–22.
Ryan, N. E. (1999). Career counseling and career choice goal attainment: A meta-analytically derived model for career counseling practice. Unpublished doctoral dissertation. Loyola University, Chicago, IL.
Shadish, W. R., & Haddock, C. K. (1994). Combining estimates of effect size. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 261–281). New York: Russell Sage Foundation.
Sharpe, D. (1997). Of apples and oranges, file drawers and garbage: Why validity issues in meta-analysis will not go away. Clinical Psychology Review, 17, 881–901.
Smith, M. L., & Glass, G. V. (1977). Meta-analysis of psychotherapy outcome studies. American Psychologist, 32, 752–760.
Smith, M. L., Glass, G. V., & Miller, T. I. (1980). The benefits of psychotherapy. Baltimore, MD: Johns Hopkins University Press.
Spokane, A. R., & Oliver, L. W. (1983). The outcomes of vocational interventions: In W. B. Walsh & S. H. Osipow (Eds.), Handbook of vocational psychology (pp. 99–116). Hillsdale, NJ: Erlbaum.
Strong, E. K., Jr. (1936). Interests of men and women. Journal of Social Psychology, 29, 409–414.
Tracey, T. J. G. (2000). Issues in the analysis and interpretation of quantitative data: Deinstitutionalization of the null hypothesis test. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (3rd ed., pp. 177–198). New York: Wiley.
Tracey, T. J. G., & Hopkins, N. (2001). Correspondence of interests and abilities with occupational choice. Journal of Counseling Psychology, 48, 178–189.
Tracey, T. J. G., & Robbins, S. B. (2006). The interest-major congruence and college success relation: A longitudinal study. Journal of Vocational Behavior, 69, 64–89.
Ulrich, L., & Trumbo, D. (1965). The selection interview since 1949. Psychological Bulletin, 63, 100–116.
Van Dusen, A. C. (1940). Permanence of vocational interests. Journal of Educational Psychology, 6, 401–423.
Viswesvaran, C., & Ones, D. S. (1995). Theory testing: Combining psychometric meta-analysis and structural equations modeling. Personnel Psychology, 48, 865–885.
Whiston, S. C., Sexton, T. L., & Lasoff, D. L. (1998). Career-intervention outcome: A replication and extension of Oliver & Spokane (1988). Journal of Counseling Psychology, 45, 150–165.
Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594–604.
Wiesner, W. H., & Cronshaw, S. F. (1988). The moderating impact of interview forma and degree of structure on the validity of the employment interview. Journal of Occupational Psychology, 61, 275–290.
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Gore, P.A., Minami, T. (2008). Quantitative Research Synthesis: The Use of Meta-Analysis in Career Guidance and Vocational Psychology. In: Athanasou, J.A., Van Esbroeck, R. (eds) International Handbook of Career Guidance. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6230-8_31
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