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Session Type: Poster Session
45. Addressing Challenges for Statistical Analysis in Small-Group Designs - Robert W Wiley, Johns Hopkins University; Brenda Rapp, Johns Hopkins University
46. An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies - Patricia Rodriguez de Gil, University of South Florida; Jeffrey D. Kromrey, University of South Florida; Seang-hwane Joo, University of South Florida; Yan Wang, University of South Florida; Eun Sook Kim, University of South Florida; Jessica Montgomery, University of South Florida
47. Attrition Benchmarks Across Students and School Contexts: Evidence From Student Mobility in Longitudinal Survey Data - Jordan Rickles, American Institutes for Research; Kristina Lillian Zeiser, American Institutes for Research
48. Bayesian Model Criticism: Prior Sensitivity of the Posterior Predictive Checks Method - Allison Jennifer Ames, James Madison University
49. Comparing Heckit and Propensity Methods Under Conditions When There Is Evidence of Selection Into Treatment - Paul Wesley Scott, University of Pittsburgh; Clement A. Stone, University of Pittsburgh; Heather J. Bachman, University of Pittsburgh; Leanne Elliott, University of Pittsburgh
50. Design and Analysis of Monte Carlo Studies: Improving External Validity - Brandon LeBeau, The University of Iowa
51. Detecting Measurement Invariance in Structural Equation Modeling: Evaluating Goodness-of-Fit Indexes - Dingjing Shi, University of Virginia; Ji Hoon Ryoo, University of Virginia
52. Evaluation of Two Methods for Multistep Latent-Class Analysis - Akihito Kamata, Southern Methodist University; Yusuf Kara, Anadolu University; Chalie Patarapichayatham, Southern Methodist University; Patrick Lan, Southern Methodist University
53. Examining the Accuracy of Teacher Value-Added Model Effects Using Bias-Corrected Confidence Intervals - Yincheng Ye, Virginia Polytechnic Institute and State University; Edgar I. Sanchez, ACT, Inc.
54. Fitting Curves to Data Series With Seasonality Using the Additive Polynomial Growth Model - Yeow Meng Thum, Northwest Evaluation Association; Tyler H. Matta, University of Oregon
55. How Classification Trees Can Be Helpful to Educational Research: A Case Study - Emi Iwatani, University of Pittsburgh; Clement A. Stone, University of Pittsburgh; Craig N Shealy, James Madison University