Large scale survey data in career development research

Journal of Career Development

Volumn 35, Issue 1, 2008, Pages 42-59

  Diemer, Matthew A ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Career development; Complex sample data; Large scale surveys; Secondary analysis

Indexed keywords

EID: 49549104200     PISSN: 08948453     EISSN: None     Source Type: Journal    
DOI: 10.1177/0894845308317935     Document Type: Article

References (31)

1. Allison, P.D. (2003). Missing data techniques for structural equation modeling. Journal of Abnormal Psychology, 112 (4). 545-557.
2. Brogan, D.J. (1998). Software for survey data. In P. Armitage & T. Colton (Eds)., Encyclopedia of Biostatistics (pp. 4167-4174). New York: Wiley.
3. Chambers, R. L., & Skinner, C. J. (Eds.) (2003). Analysis of survey data. Hoboken, NJ: Wiley.
4. Diemer, M.A. (2007). Parental and school influences upon the career development of poor youth of color. Journal of Vocational Behavior, 70 (3). 502-524.
5. Diemer, M.A., & Hsieh, C. (2008). Sociopolitical development and vocational expectations among lower-SES adolescents of color. Career Development Quarterly, 56 (3). 257-267.
6. Flora, D.B., & Curran, P.J. (2004). An empirical evaluation of models of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466-491.
7. Greenhaus, J.H. (1971). An investigation of the role of career salience in vocational behavior. Journal of Vocational Behavior, 1, 295-216.
8. Ingels, S.K., Scott, L.A., Taylor, J.R., Owings, J., & Quinn, P. (1998). National Educational Longitudinal Survey of 1988 (NELS: 88) base year through second follow-up: Final methodology report. Washington, DC: National Center for Education Statistics.
9. Johnson, R.A., & Wichern, D.W. (1998). Applied multivariate statistical analysis (4 th ed.). Upper Saddle River, NJ: Prentice-Hall.
10. Kiecolt, K.J., & Nathan, L.E. (1985). Secondary analysis of survey data. Newbury Park, CA: Sage.
11. Kish, L. (1965). Survey sampling. New York: Wiley.
12. Lee, E.S., & Forthofer, R.N. (2006). Analyzing complex survey data (2 nd ed.). Thousand Oaks, CA: Sage.
13. Lohr, S.L. (1999). Sampling: Design and analysis. Pacific Grove, CA: Brooks/Cole.
14. Muthn, L.K., & Muthn, B.O. (2006). MPlus user's guide. Los Angeles, CA: Muthn & Muthn.
15. Muthn, B.O., & Satorra, A. (1995). Complex sample data in structural equation modeling. Sociological Methodology, 25, 267-316.
16. Pfefferman, D. (1993). The role of sampling weights when modeling survey data. International Statistical Review, 61 (2). 317-337.
17. Raudenbush, S.W., Bryk, A.S., Cheong, Y.F., Congdon, R.T., & Du Toit, M. (2004). HLM 6: Hierarchical linear and nonlinear modeling. Scientific Software International.
18. Rojewski, J.W., & Yang, B. (1997). Longitudinal analysis of select influences on adolescents' occupational aspirations. Journal of Vocational Behavior, 51, 375-410.
19. Ruspini, E. (2002). Introduction to longitudinal research. New York, NY: Routledge.
20. Schafer, J.L. (1999). NORM: Multiple imputation of incomplete multivariate data under a normal model [Computer software]. University Park: Pennsylvania State University, Department of Statistics.
21. Schafer, J.L., & Graham, J.W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7 (2). 147-177.
22. Schneider, B., Carnoy, M., Kilpatrick, J., Schmidt, W., & Shavelson, R. (2006). Estimating causal effects using experimental and observational designs: A think tank white paper. Washington, DC: American Educational Research Association.
23. Siller, A.B., & Tompkins, L. (2006, March). The big four: Analyzing complex sample survey data using SAS, SPSS, STATA, and SUDAAN. Paper presented at the 31st Annual SAS Users Group International Conference. San Francisco, CA. Paper 172-31.
24. Stapleton, L.M. (2002). The incorporation of sample weights into multilevel structural equation models. Structural Equation Modeling, 9 (4). 475-502.
25. Stapleton, L.M. (2006). An assessment of practical solutions for structural equation modeling with complex sample data. Structural Equation Modeling, 13 (1). 28-58.
26. Super, D.E. (1980). A life-span, life-space approach to career development. Journal of Vocational Behavior, 16, 262-298.
27. Thomas, S.L., & Heck, R.H. (2001). Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs. Research in Higher Education, 42 (5). 517-540.
28. Trusty, J., Ng, K., & Plata, M. (2000). Interaction effects of gender, SES, and race-ethnicity on postsecondary educational choices of U.S. students. Career Development Quarterly, 49 (1). 45-59.
29. Trusty, J., Watts, R.E., & Erdman, P. (1997). Predictors of parents' involvement in their teens' career development. Journal of Career Development, 23, 189-201.
30. Young, C.H., Savola, K.L., & Phelps, E. (1991). Inventory of longitudinal studies in the social sciences. Newbury Park, CA: Sage.
31. Zaitzow, B.H., & Fields, C.B. (1996). Using archival data sets. In F. T. L. Leong & J. T. Austin (Eds.,) The psychology research handbook (pp. 251-264). Thousand Oaks, CA: Sage.