14 citations · 44 across the 10 of their papers we have counts for
10 papers
Combining observational and experimental data for causal inference considering data privacy
Charlotte Z. Mann, Adam C. Sales, Johann A. Gagnon-Bartsch
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data pri…
Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results
Adam C. Sales, Ethan B. Prihar, Johann A. Gagnon-Bartsch +1
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without co…
GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
Adam C. Sales, Kirk P. Vanacore, Erin R. Ottmar
Principal stratification is a framework for making sense of causal effects conditioned on variables that may themselves have been affected by the treatment. For instance, in an eva…
Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data
Johann A. Gagnon-Bartsch, Adam C. Sales, Edward Wu +4
Randomized controlled trials (RCTs) are increasingly prevalent in education research, and are often regarded as a gold standard of causal inference. Two main virtues of randomized…
Student Log-Data from a Randomized Evaluation of Educational Technology: A Causal Case Study
Adam C Sales, John F Pane
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data student and teacher usage. These datasets could shed light on causal mechani…
Mastery Learning in Practice: A (Mostly) Descriptive Analysis of Log Data from the Cognitive Tutor Algebra I Effectiveness Trial
Anita Israni, Adam C Sales, John F Pane
Mastery learning, the notion that students learn best if they move on from studying a topic only after having demonstrated mastery, sits at the foundation of the theory of intellig…
Sequential Specification Tests to Choose a Model: A Change-Point Approach
Adam C. Sales
Researchers faced with a sequence of candidate model specifications must often choose the best specification that does not violate a testable identification assumption. One option…
The Role of Mastery Learning in Intelligent Tutoring Systems: Principal Stratification on a Latent Variable
Adam C. Sales, John F. Pane
Students in Algebra I classrooms typically learn at different rates and struggle at different points in the curriculum---a common challenge for math teachers. Cognitive Tutor Algeb…
Rebar: Reinforcing a Matching Estimator with Predictions from High-Dimensional Covariates
Adam C Sales, Ben B Hansen, Brian Rowan
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimen…
Limitless Regression Discontinuity
Adam C. Sales, Ben B. Hansen
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, , approaches a cut-point, , from either side. Altern…