Jacob M. Schauer

Postdoctoral Fellow

Northwestern University


Jake Schauer is a postdoctoral fellow at Northwestern University’s Institute for Policy Research where he develops statistical methods for the social and health sciences. His research interests include methods for studying replication, modern advances in meta-analysis, approaches to missing data, and data privacy.


  • Replication
  • Meta-analysis
  • Data science
  • Data privacy


  • PhD in Statistics, 2018

    Northwestern University

  • BS in Mathematics, English, 2007

    Western Michigan University


Methods for Studying Replication

The proper way to design and analyze replication studies is still an open question for much of science.

Missing Data in Meta-Analysis

Meta-regression is an important tool that can help highlight where and why an intervention may work. However, anyone who has tried to …

Flexible Models for Meta-Analysis

Complex machine learning models have great potential to improve meta-analyses. These relationships between how effective an …

Violence in Chicago

The eighteen months from January 2016 to July 2017 have generally been seen as a particularly violent period in Chicago. Homicides rose …

Recent Publications

Consistency of effects is important in replication

In this rejoinder, we discuss Mathur and VanderWeele’s response to our article, ‘Statistical Analyses for Studying Replication: …

Statistical analyses for studying replication: Meta-analytic perspectives

Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. …

More than one replication study is needed for unambiguous tests of replication

The problem of assessing whether experimental results can be replicated is becoming increasingly important in many areas of science. It …

Randomised trials in education in the USA

Background and purpose: Studies of education and learning that were described as experiments have been carried out in the USA by …

Papers in Progress

Assessing heterogeneity in replication research

Recent empirical research has questioned the replicability of published findings in psychology. However, analyses of these studies have …

Reconsidering statistical methods for assessing replication

Recent empirical evaluations of replication in psychology have reported startlingly few successful replication attempts. At the same …

Synthetic data disclosure control: Promise and feasibility for SLDS

State longitudinal data systems (SLDS) are legally required to protect the privacy of students and so states have been cautious about …

The effects of microsuppression on state education data quality

States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when …


Assessing replication: Lessons from empirical research and applied statistics

Given how important replication is to the logic and rhetoric of science, one would expect a standard approach to designing and …

Challenges for imputing missing covariates in meta-regression

A common issue in meta-regression is that for some effects, certain covariates may not be collected or reported. Precisely how to …

Assessing replication: Lessons for education science

Given how important replication is to the logic and rhetoric of science, one would expect a standard ap- proach to designing and …

Replication in education science

Since experiments in education often sample from different populations and treatment fidelity can fluctuate, it would seem inevitable …

Suspect research and statistical inference

Especially over the past two decades, the emphasis in education has been to implement policy backed by rigorous research. During that …


My dog, Woodhouse, will sometimes join in on office hours. He doesn’t know anything about statistics, but he likes people.