Planned Missing Data Designs for Developmental Researchers

Child Development Perspectives

Volumn 7, Issue 4, 2013, Pages 199-204

  Little, Todd D ^a   Rhemtulla, Mijke ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Intentionally incomplete data; Missing by design; Multiform design; Planned missing data; Three form design; Two method measurement; Wave missing

Indexed keywords

EID: 84887406340     PISSN: 17508592     EISSN: 17508606     Source Type: Journal    
DOI: 10.1111/cdep.12043     Document Type: Article

References (27)

1. Collins, L. M., Schafer, J. L., & Kam, C. M. (2001). A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6, 330-351. doi:10.1037/1082-989X.6.4.330
2. Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
3. Enders, C. K. (2011). Missing not at random models for latent growth curve analyses. Psychological Methods, 16, 1-16. doi:10.1037/a0022640
4. Garnier-Villareal, M., Rhemtulla, M., & Little, T. D. (2013). Two-method planned missing designs for longitudinal research. Manuscript submitted for review.
5. Gottschall, A. C., West, S. G., & Enders, C. K. (2012). A comparison of item-level and scale-level multiple imputation for questionnaire batteries. Multivariate Behavioral Research, 47, 1-25.
6. Graham, J. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549-576. doi:10.1146/annurev.psych.58.110405.085530
7. Graham, J. W., Hofer, S. M., & MacKinnon, D. P. (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, 31, 197-218. doi:10.1207/s15327906mbr3102_3
8. Graham, J. W., Olchowski, A. E., & Gilreath, T. D. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206-213. doi:10.1007/s11121-007-0070-9
9. Graham, J. W., Taylor, B. J., & Cumsille, P. E. (2001). Planned missing-data designs in analysis of change. In L. M. Collins & A. Sayer (Ed.), New methods for the analysis of change (pp. 335-353). Washington, DC: American Psychological Association.
10. Graham, J. W., Taylor, B. J., Olchowski, A. E., & Cumsille, P. E. (2006). Planned missing data designs in psychological research. Psychological Methods, 11, 323-343. doi:10.1037/1082-989X.11.4.323
11. Harel, O., Stratton, J., & Aseltine, R. (2012). Designed missingness to better estimate efficacy of behavioral studies (Technical Report 11-15). Storrs: Department of Statistics, University of Connecticut.
12. Hecht, M. L., Marsiglia, F. F., Elek, E., Wagstaff, D. A., Kulis, S., Dustman, P., et al. (2003). Culturally grounded substance use prevention: An evaluation of the keepin' it REAL curriculum. Prevention Science, 4, 233-248.
13. Hogue, C. M., Pornprasertmanit, S., Fry, M. D., Rhemtulla, M., & Little, T. D. (2013). Planned missing data designs for spline growth models in salivary cortisol research. Manuscript submitted for review.
14. Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
15. Little, T. D., Rhemtulla, M., Gibson, K., & Schoemann, A. M. (2013). Why the items versus parcels controversy needn't be one. Psychological Methods. doi:10.1037/a0033266
16. McArdle, J. J., & Woodcock, R. W. (1997). Expanding test-retest designs to include developmental time-lag components. Psychological Methods, 2, 403-435. doi:10.1037/1082-989X.2.4.403
17. Mistler, S. A., & Enders, C. K. (2012). Planned missing data designs for developmental research. In B. Laursen, T. D. Little, & N. A. Card (Eds.), Handbook of developmental research methods (pp. 742-754). New York, NY: Guilford Press.
18. Muthén, L. K., & Muthén, B. O. (1998-2012). Mplus user's guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
19. Raghunathan, T. E., & Grizzle, J. E. (1995). A split questionnaire survey design. Journal of the American Statistical Association, 90, 54-63. doi:10.1080/01621459.1995.10476488
20. Rhemtulla, M., Jia, F., Wu, W., & Little, T. D. (2013). Planned missing designs to optimize the efficiency of latent growth parameter estimates. Manuscript under review.
21. Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. Hoboken, NJ: Wiley.
22. Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177. doi:10.1037//1082-989X.7.2.147
23. Schoemann, A. M., Miller, P., Pornprasertmanit, S., & Wu, W. (in press). Using Monte Carlo simulations to determine power and sample size for planned missing designs. International Journal of Behavioral Development.
24. Sirotnik, K., & Wellington, R. (1977). Incidence sampling: An integrated theory for "matrix sampling". Journal of Educational Measurement, 14, 343-399. doi:10.1111/j.1745-3984.1977.tb00050.x
25. Thomas, N., Raghunathan, T. E., Schenker, N., Katzoff, M. J., & Johnson, C. L. (2006). An evaluation of matrix sampling methods using data from the National Health and Nutrition Examination Survey. Survey Methodology, 32, 217-231.
26. Wacholder, S., Carroll, R. J., Pee, D., & Gail, M. H. (1994). The partial questionnaire design for case-control studies. Statistics in Medicine, 13, 623-634.
27. Wechsler, D. (1996). Wechsler objective numerical dimensions. London, UK: Psychological Corporation.