Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Sales Adam C."'
Autor:
Gagnon-Bartsch Johann A., Sales Adam C., Wu Edward, Botelho Anthony F., Erickson John A., Miratrix Luke W., Heffernan Neil T.
Publikováno v:
Journal of Causal Inference, Vol 11, Iss 1, Pp 286-327 (2023)
Randomized controlled trials (RCTs) admit unconfounded design-based inference – randomization largely justifies the assumptions underlying statistical effect estimates – but often have limited sample sizes. However, researchers may have access to
Externí odkaz:
https://doaj.org/article/72c13472c43e45d68eed97512853c58a
Paired cluster-randomized experiments (pCRTs) are common across many disciplines because there is often natural clustering of individuals, and paired randomization can help balance baseline covariates to improve experimental precision. Although pCRTs
Externí odkaz:
http://arxiv.org/abs/2407.01765
There is wide agreement on the importance of implementation data from randomized effectiveness studies in behavioral science; however, there are few methods available to incorporate these data into causal models, especially when they are multivariate
Externí odkaz:
http://arxiv.org/abs/2309.04047
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both exp
Externí odkaz:
http://arxiv.org/abs/2308.02974
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples.
Externí odkaz:
http://arxiv.org/abs/2306.06273
Principal stratification is a framework for making sense of causal effects conditioned on variables that themselves may have been affected by treatment. Most principal stratification estimators rely on strong structural or modeling assumptions, and m
Externí odkaz:
http://arxiv.org/abs/2212.10406
Autor:
Gagnon-Bartsch, Johann A., Sales, Adam C., Wu, Edward, Botelho, Anthony F., Erickson, John A., Miratrix, Luke W., Heffernan, Neil T.
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 experiments are that they (1) do not suffer from confounding, thereby
Externí odkaz:
http://arxiv.org/abs/2105.03529
Autor:
Sales, Adam C, Pane, John F
Publikováno v:
Adam C. Sales & John F. Pane (2021) Student Log-Data from a Randomized Evaluation of Educational Technology: A Causal Case Study, Journal of Research on Educational Effectiveness, 14:1, 241-269, DOI: 10.1080/19345747.2020.1823538
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 mechanisms, effect heterogeneity, or optimal use. However, there are methodol
Externí odkaz:
http://arxiv.org/abs/1808.02528
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 intelligent tutoring. This paper is an exploration of how mastery learning pla
Externí odkaz:
http://arxiv.org/abs/1802.08616
Autor:
Sales, Adam C.
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 in this scenario is sequential specification tests: hypothesis tests o
Externí odkaz:
http://arxiv.org/abs/1708.00907