Design Effects of Multilevel Estimates From National Probability Samples

Sociological Methods and Research

Volumn 47, Issue 3, 2018, Pages 430-457

  Stapleton, Laura M ^a   Kang, Yoonjeong ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b AMERICAN INSTITUTES FOR RESEARCH   (United States)

Author keywords

multilevel; sampling; structural modeling; survey; weights

Indexed keywords

EID: 84986312920     PISSN: 00491241     EISSN: 15528294     Source Type: Journal    
DOI: 10.1177/0049124116630563     Document Type: Article

References (33)

1. Asparouhov T., Muthén B.. 2006. “Multilevel Modeling of Complex Survey Data.” Pp. 2718–26 in Proceedings of the American Statistical Association. Seattle, WA: American Statistical Association
2. du Toit M., du Toit S.. 2008. “Multilevel Structural Equation Modeling.” Pp. 435–78 in Handbook of Multilevel Analysis, edited by de Leeuw J., Meijer M.. New York: Springer
3. Grilli L., Pratesi M.. 2004. “Weighted Estimation in Multilevel Ordinal and Binary Models in the Presence of Informative Sampling Designs.” Survey Methodology 30:93–103
4. Hox J. J., 2002. Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Lawrence Erlbaum Associates
5. Ingels S. J., Pratt D. J., Rogers J. E., Siegel P. H., Stutts E. S., Owings J. A.. 2005. Educational Longitudinal Study of 2002: Base-year to First Follow-up Data File Documentation. Washington, DC: National Center for Education Statistics
6. Jenkins F., 2008. Multilevel Analysis with Informative Weights. Retrieved June 26, 2012 (http://www.amstat.org/sections/srms/proceedings/y2008/Files/301419.pdf)
7. Kalton G., 1983. “Models in the Practice of Survey Sampling.” International Statistical Review 51:175–88
8. Kaplan D., Elliott P. R.. 1997. “A Didactic Example of Multilevel Structural Equation Modeling Applicable to the Study of Organizations.” Structural Equation Modeling: A Multidisciplinary Journal 4:1–24
9. Kish L., 1965. Survey Sampling. New York: John Wiley & Sons, Inc
10. Kish L., 1995. “Methods for Design Effects.” Journal of Official Statistics 11:55–77
11. Kish L., Frankel M. R.. 1974. “Inference from Complex Samples.” Journal of the Royal Statistical Society (B) 36:1–37
12. Kovacevic M. S., Rai S. N.. 2003. “A Pseudo Maximum Likelihood Approach to Multilevel Modeling of Survey Data.” Communications in Statistics 32:103–21
13. Lee V. E., Burkham D. T., Ready D. D., Honigman J., Meisels S. J.. 2006. “Full-day Versus Half-day Kindergarten: In Which Program Do Children Learn More?” American Journal of Education 112:163–208
14. Lohr S. L., 2014. “Design Effects for a Regression Slope in a Cluster Sample.” Journal of Survey Statistics and Methodology 2:97–125
15. Martin M. O., Gregory K. D., Stemler S. E.. 2000. TIMSS 1999 Technical Report. Chestnut Hill, MA: International Study Center
16. Muthén L. K., Muthén B. O.. 2011. Mplus User’s Guide. 6th ed. Los Angeles, CA: Muthén & Muthén
17. O’Connell A., McCoach B.. 2008. Multilevel Analysis of Educational Data. Greenwich, CT: Information Age Publishing
18. Palardy G. J., 2008. “Differential School Effects among Low, Middle, and High Social Class Composition Schools: A Multiple Group, Multilevel Latent Growth Curve Analysis.” School Effectiveness and School Improvement 19:21–49
19. Pfeffermann D., Skinner C. J., Holmes D. J., Goldstein H., Rasbash J.. 1998. “Weighting for Unequal Selection Probabilities in Multilevel Models.” Journal of the Royal Statistical Society, Series B 60:23–40
20. Rabe-Hesketh S., Skrondal A.. 2006. “Multilevel Modeling of Complex Survey Data.” Journal of the Royal Statistical Society, Series B 60:23–56
21. Rabe-Hesketh S., Skrondal A., Pickles A.. 2004. “Generalized Multilevel Structural Equation Modelling.” Psychometrika 69:167–90
22. Rasbash J., Steele F., Browne W. J., Goldstein H.. 2012. A User’s Guide to MLwiN, v2.26. Bristol, UK: Centre for Multilevel Modelling, University of Bristol
23. Raudenbush S. W., Bryk A. S.. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. Thousand Oaks, CA: Sage
24. Raudenbush S. W., Bryk A. S., Cheong Y. F., Congdon R. T., du Toit M.. 2011. HLM 7: Hierarchical Linear and Nonlinear Modeling. Lincolnwood, IL: SSI Scientific Software International
25. ® 13.1 User’s Guide. Cary, NC: SAS Institute Inc
26. Snijders T. A. B., Bosker R. J.. 2012. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. 2nd ed. London, UK: Sage
27. Spencer B. D., Frankel M. R., Ingles S. J., Rasinski K. A., Tourangeau R., Owings J. A.. 1990. National Education Longitudinal Study of 1988: Base Year Sample Design Report. Washington, DC: National Center for Education Statistics
28. SPSS (Statistical Package for the Social Sciences). 2002. “Linear Mixed Effects Modeling in SPSS: An Introduction to the MIXED Procedure.” Technical report LMEMWP-1002, SPSS, Inc., Chicago
29. Stapleton L. M., 2008. “Variance Estimation Using Replication Methods in Structural Equation Modeling with Complex Sample Data.” Structural Equation Modeling: A Multidisciplinary Journal 15:183–210
30. Sterba S. K., 2009. “Alternative Model-based and Design-based Frameworks for Inference from Samples to Populations: From Polarization to Integration.” Multivariate Behavioral Research 44:711–40
31. Tourangeau K., Nord C., Le T., Sorongon A. G., Najarian M., Hausken E. G.. 2009. Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (ECLS-K): Combined User’s Manual for the ECLS-K Eight-grade and K-8 Full Sample Data Files and Electronic Codebooks. Washington, DC: National Center for Education Statistics
32. Tourkin S. C., Pugh K. W., Fondelier S. E., Parmer R. J., Cole C., Jackson B., Warner T., Weant G., Walter E., Gruber K., Zhao L.. 2004. 1999-2000 Schools and Staffing Survey (SASS) Data File User’s Manual. Washington, DC: National Center for Education Statistics
33. Wolter K. M., 1985. Introduction to Variance Estimation. New York: Springer-Verlag