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Michael Seltzer - Publications

Affiliations: 
Education 0249 University of California, Los Angeles, Los Angeles, CA 
Area:
Evaluation Education, Theory and Methods
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8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Kim J, Siegel A, Yen SP, Seltzer M. Subdiaphragmatic gallstone mimicking hepatic malignancy on FDG PET/CT. Clinical Nuclear Medicine. 40: 347-8. PMID 25608158 DOI: 10.1097/RLU.0000000000000658  0.377
2014 Rickles JH, Seltzer M. A Two-Stage Propensity Score Matching Strategy for Treatment Effect Estimation in a Multisite Observational Study Journal of Educational and Behavioral Statistics. 39: 612-636. DOI: 10.3102/1076998614559748  0.561
2011 Kim J, Seltzer M. Examining heterogeneity in residual variance to detect differential response to treatments. Psychological Methods. 16: 192-208. PMID 21341917 DOI: 10.1037/A0022656  0.548
2011 Denson N, Seltzer MH. Meta-Analysis in Higher Education: An Illustrative Example Using Hierarchical Linear Modeling Research in Higher Education. 52: 215-244. DOI: 10.1007/S11162-010-9196-X  0.574
2010 Choi K, Seltzer M. Modeling heterogeneity in relationships between initial status and rates of change: Treating latent variable regression coefficients as random coefficients in a three-level hierarchical model Journal of Educational and Behavioral Statistics. 35: 54-91. DOI: 10.3102/1076998609337138  0.516
2007 Choi K, Seltzer M, Herman J, Yamashiro K. Children Left behind in AYP and Non-AYP Schools: Using Student Progress and the Distribution of Student Gains to Validate AYP. Educational Measurement: Issues and Practice. 26: 21-32. DOI: 10.1111/J.1745-3992.2007.00098.X  0.481
2003 Seltzer M, Choi K, Thum YM. Examining Relationships between Where Students Start and How Rapidly They Progress: Using New Developments in Growth Modeling to Gain Insight into the Distribution of Achievement within Schools. Educational Evaluation and Policy Analysis. 25: 263-286. DOI: 10.3102/01623737025003263  0.526
2002 Seltzer M, Novak J, Choi K, Lim N. Sensitivity Analysis for Hierarchical Models Employing t Level-1 Assumptions Journal of Educational and Behavioral Statistics. 27: 181-222. DOI: 10.3102/10769986027002181  0.454
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