Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs

Research in Higher Education

Volumn 42, Issue 5, 2001, Pages 517-540

  Thomas, Scott L ^a   Heck, Ronald H ^a  

^a UNIVERSITY OF HAWAII   (United States)

Author keywords

Clustered data; Complex sample; Survey analysis

Indexed keywords

EID: 0035486318     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011098109834     Document Type: Article

References (23)

1. Barcikowski, R. (1981). Statistical power with group mean as the unit of analysis. Journal of Educational Statistics 6: 267-285.
2. Bryk, A. S., and Raudenbush, S. W., (1992). Hierarchical Linaer Models. Newbury Park, CA: Sage Publications, Inc.
3. de Leeuw, J., and Kreft, I. G. (1995). Questioning multilevel models. Journal of Educational Statistics 20: 171-189.
4. Dempster, A., Laird, N., and Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B 30: 1-38.
5. Fuller. (1975). Regression analysis for sample survey. Sankhyα 37: 117-132.
6. Heck, R. H., and Thomas, S. L. (2000). An Introduction to Multilevel Modeling Techniques. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
7. HLM [Computer software]. (1999). Chicago: Scientific Software International.
8. Hox, J. J. (1998). Multilevel modeling: when and why. In I. Balderjahn, R. Mathar, and M. Schader (eds.), Classification, Data Analysis, and Data Highways, pp. 147-154. New York: Springer Verlag.
9. Kalton, G. (1983). Introduction to Survey Sampling. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-035. Beverly Hills: Sage Publications, Inc.
10. Kish, L. (1965). Survey Sampling Principles. New York: Marcel Dekker, Inc.
11. MLwinN [Computer software]. (1999). London: Institute of Education.
12. MPlus [Computer software]. (1999). Los Angeles: Muthén & Muthén.
13. Muthen, B. O., and Satorra, A. (1995). Complex sample data in structural equation modeling. In P. Marsden (ed.), Sociological Methodology, pp. 267-316. Washington, DC: American Sociological Association.
14. National Center for Education Statistics. (1995). Methodology Report for the 1993 National Postsecondary Student Aid Study. Washington, DC: Author.
15. National Center for Education Statistics. (1996). Baccalaureate and Beyond Longitudinal Study: 1993/94 First Follow-up Methodology Report. Washington, DC: Author.
16. PCCARP [Computer software]. (1989). Ames, IA: Statistical Laboratory, Iowa State University.
17. Rust, K. (1985). Variance estimation for complex estimators in sample surveys. Journal of Official Statistics 4: 381-397.
18. SAS [Computer software]. (1999). Gary, NC: SAS Institute, Inc.
19. SPSS [Computer software]. (1999). Chicago: SPSS, Inc.
20. SUDAAN [Computer Software]. (1999). Research Triangle Park, NC: Research Triangle Institute.
21. WesVar Complex Samples [Computer Software]. (1998). Rockville, MD: Weststat.
22. Wolter, K. M. (1985). An Introduction to Variance Estimation. New York: Springer.
23. Woodruff, R. S. (1971). A simple method for approximating the variance of a complicated estimate. Journal of the American Statistical Association 66: 411-414.