Presentation on theme: "1crmda.KU.edu Todd D. Little University of Kansas Director, Quantitative Training Program Director, Center for Research Methods and Data Analysis Director,"— Presentation transcript:
1crmda.KU.edu Todd D. Little University of Kansas Director, Quantitative Training Program Director, Center for Research Methods and Data Analysis Director, Undergraduate Social and Behavioral Sciences Methodology Minor Member, Developmental Psychology Training Program crmda. KU.edu Talk presented 03-31-2011 @ Society for Research in Child Development Advances in Missing Data and Implications for Developmental Science Advances in Missing Data and Implications for Developmental Science
2crmda.KU.edu Conclusions Imputing missing data is not cheating NOT imputing missing data is MOST likely to lead to errors in generalization! Plan for un-intentional missing data Plan intentionally missing data
4crmda.KU.edu Modern Missing Data Analysis In 1978, Rubin proposed Multiple Imputation (MI) An approach especially well suited for use with large public-use databases. First suggested in 1978 and developed more fully in 1987. MI primarily uses the Expectation Maximization (EM) algorithm and/or the Markov Chain Monte Carlo (MCMC) algorithm. Beginning in the 1980’s, likelihood approaches developed. Multiple group SEM Full Information Maximum Likelihood (FIML). An approach well suited to more circumscribed models MI or FIML
5crmda.KU.edu Missing Data and Estimation: Missingness by Design Assess all persons, but not all variables at each time of measurement Control entry into study: estimate and control for retest effects, increase validity, decrease costs, increase power, etc. Randomly assign participants to their entry into a longitudinal study and/or to the occasions of assessment Key to providing unbiased estimates of growth or change
6crmda.KU.edu Form Common Variables Variable Set A Variable Set B Variable Set C 1Marker Variables ~1/3 of Variables None 2Marker Variables ~1/3 of Variables none~1/3 of Variables 3Marker Variables none~1/3 of Variables 3-Form Protocol
14crmda.KU.edu Transforming to Accelerated Longitudinal Assumes a MAR process, but if you plan for it and measure cohort-related influences, the impact will be easily estimated. In the analysis, cohort becomes a variable that is controlled for.
15crmda.KU.edu Thanks for your attention! Questions? crmda. KU.edu Talk presented 03-31-2011 @ Society for Research in Child Development Advances in Missing Data and Implications for Developmental Science Advances in Missing Data and Implications for Developmental Science
Update Dr. Todd Little is currently at Texas Tech University Director, Institute for Measurement, Methodology, Analysis and Policy (IMMAP) Director, “Stats Camp” Professor, Educational Psychology and Leadership Email: email@example.com@ttu.edu IMMAP (immap.educ.ttu.edu) Stats Camp (Statscamp.org) 16www.Quant.KU.edu
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