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Kristin E. Porter

Researcher at MDRC

Publications -  10
Citations -  234

Kristin E. Porter is an academic researcher from MDRC. The author has contributed to research in topics: Regression analysis & Regression discontinuity design. The author has an hindex of 6, co-authored 10 publications receiving 154 citations.

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Measuring the predictability of life outcomes with a scientific mass collaboration.

Matthew J. Salganik, +114 more
TL;DR: Practical limits to the predictability of life outcomes in some settings are suggested and the value of mass collaborations in the social sciences is illustrated.
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Using Multisite Experiments to Study Cross-Site Variation in Treatment Effects: A Hybrid Approach With Fixed Intercepts and a Random Treatment Coefficient

TL;DR: In this article, a theoretical model of cross-site impact variation and a related estimation model with a random treatment coefficient and fixed site-specific intercepts were presented to eliminate several biases that can arise from unbalanced sample designs for multisite randomized trials.
Journal ArticleDOI

Robustness of ordinary least squares in randomized clinical trials.

TL;DR: It is thought that most researchers may comfortably continue using standard OLS software, preferably with the robust standard errors, and it is found that traditional OLS methods work very well down to very small sample sizes for such outcomes.
Journal ArticleDOI

Statistical Power in Evaluations That Investigate Effects on Multiple Outcomes: A Guide for Researchers.

TL;DR: In this paper, the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups, was evaluated for different treatment groups.

Estimating Causal Effects of Education Interventions Using a Two-Rating Regression Discontinuity Design Lessons from a Simulation Study

TL;DR: This article compares the methods in terms of their bias, precision, and mean squared error when implemented as they most likely would be in practice—using optimal bandwidth selection, and makes concrete recommendations for choosing among MRRDD estimation methods.