David Rindskopf
Affiliations: | Educational Psychology | City University of New York, New York, NY, United States |
Area:
Biostatistics Biology, Public HealthGoogle:
"David Rindskopf"Cross-listing: PHTree
Children
Sign in to add trainee| Amy E. Schmidt | grad student | 2000 | CUNY |
| Debra J. Grodenchik | grad student | 2002 | CUNY |
| Ellie A. Buteau | grad student | 2003 | CUNY |
| Mariya P. Shiyko | grad student | 2009 | CUNY |
| Eden N. Kyse | grad student | 2010 | CUNY |
| Jill L. Findley | grad student | 2011 | CUNY |
| Tara L. Twiste | grad student | 2011 | CUNY |
| Jimmy Jung | grad student | 2012 | CUNY |
| Paul T. Bachler | grad student | 2013 | CUNY |
| Mariana Ristea | grad student | 2014 | CUNY |
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Publications
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| Rindskopf D. (2020) Overview of Bayesian Statistics. Evaluation Review. 193841X19895623 |
| Wendt O, Rindskopf D. (2020) Exploring new directions in statistical analysis of single-case experimental designs Evidence-Based Communication Assessment and Intervention. 14: 1-5 |
| Ober TM, Brooks PJ, Homer BD, et al. (2020) Executive Functions and Decoding in Children and Adolescents: a Meta-analytic Investigation Educational Psychology Review. 32: 735-763 |
| Moeyaert M, Rindskopf D, Onghena P, et al. (2017) Multilevel Modeling of Single-Case Data: A Comparison of Maximum Likelihood and Bayesian Estimation. Psychological Methods |
| Valentine JC, Wilson SJ, Rindskopf D, et al. (2016) Synthesizing Evidence in Public Policy Contexts: The Challenge of Synthesis When There Are Only a Few Studies. Evaluation Review |
| Rindskopf D. (2014) Nonlinear Bayesian analysis for single case designs. Journal of School Psychology. 52: 179-89 |
| Rindskopf D. (2014) Bayesian analysis of data from single case designs. Neuropsychological Rehabilitation. 24: 572-89 |
| Shadish WR, Kyse EN, Rindskopf DM. (2013) Analyzing data from single-case designs using multilevel models: new applications and some agenda items for future research. Psychological Methods. 18: 385-405 |
| Rindskopf D. (2012) Next steps in Bayesian structural equation models: comments on, variations of, and extensions to Muthén and Asparouhov (2012). Psychological Methods. 17: 336-9; discussion 34 |
| Shiyko MP, Li Y, Rindskopf D. (2012) Poisson Growth Mixture Modeling of Intensive Longitudinal Data: An Application to Smoking Cessation Behavior. Structural Equation Modeling : a Multidisciplinary Journal. 19: 65-85 |