Elizabeth Tipton

Affiliations: 
TC: Economics and Education Columbia University, New York, NY 
Area:
Evaluation Education, Sub Saharan Africa Studies, General Economics
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"Elizabeth Tipton"

Parents

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Larry V. Hedges grad student 2011 Northwestern (MathTree)
 (Methods for Generalizing from Experiments.)

Children

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Katharine Conn grad student 2014 Columbia
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Publications

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Hedges LV, Tipton E, Zejnullahi R, et al. (2023) Effect sizes in ANCOVA and difference-in-differences designs. The British Journal of Mathematical and Statistical Psychology
Kowalski SM, Taylor JA, Askinas KM, et al. (2020) Examining Factors Contributing to Variation in Effect Size Estimates of Teacher Outcomes from Studies of Science Teacher Professional Development Journal of Research On Educational Effectiveness. 13: 430-458
Yeager DS, Hanselman P, Walton GM, et al. (2019) A national experiment reveals where a growth mindset improves achievement. Nature
Tipton E, Pustejovsky JE, Ahmadi H. (2019) Current Practices in Meta-Regression in Psychology, Education, and Medicine. Research Synthesis Methods
Tipton E, Matlen BJ. (2019) Improved Generalizability Through Improved Recruitment: Lessons Learned From a Large-Scale Randomized Trial: American Journal of Evaluation. 40: 414-430
Tipton E, Pustejovsky JE, Ahmadi H. (2018) A History of Meta-Regression: Technical, Conceptual, and Practical Developments between 1974 and 2018. Research Synthesis Methods
Tipton E, Olsen RB. (2018) A Review of Statistical Methods for Generalizing From Evaluations of Educational Interventions Educational Researcher. 47: 516-524
Taylor JA, Kowalski SM, Polanin JR, et al. (2018) Investigating Science Education Effect Sizes: Implications for Power Analyses and Programmatic Decisions Aera Open. 4: 233285841879199
Pustejovsky JE, Tipton E. (2018) Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models Journal of Business & Economic Statistics. 36: 672-683
Tipton E, Shuster J. (2017) A framework for the meta-analysis of Bland-Altman studies based on a limits of agreement approach. Statistics in Medicine
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