James E. Pustejovsky University of Texas at Austin

Assistant Professor

Quantitative Methods program
Department of Educational Psychology
College of Education
The University of Texas at Austin

Curriculum Vitae

Curriculum Vitae

Mailing address:

James E. Pustejovsky
The University of Texas at Austin
Educational Psychology Department
1912 Speedway, Stop D5800
Austin, TX 78712-1289


Latest Posts


The multivariate delta method

The delta method is surely one of the most useful techniques in classical statistical theory. It’s perhaps a bit odd to put it this way, but I would say that the delta method is something...

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New paper: Using response ratios for meta-analyzing SCDs with behavioral outcomes

I’m pleased to announce that my article “Using response ratios for meta-analyzing SCDs with behavioral outcomes” has been accepted at Journal of School Psychology. There’s a multitude of ways that you can access this work:...

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New paper: procedural sensitivities of effect size measures for SCDs

I’m very happy to share that my article “Procedural sensitivities of effect sizes for single-case designs with directly observed behavioral outcome measures” has been accepted at Psychological Methods. There’s no need to delay in reading...

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Back from the IES PI meeting

I’m just back from the Institute of Education Sciences’ Principle Investigators conference in Washington D.C. It was an envigorating trip for me, and not only because of the opportunity to catch up with colleagues and...

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2SLS standard errors and the delta-method

I just covered instrumental variables in my course on causal inference, and so I have two-stage least squares (2SLS) estimation on the brain. In this post I’ll share something I realized in the course of...

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Pooling clubSandwich results across multiple imputations

A colleague recently asked me about how to apply cluster-robust hypothesis tests and confidence intervals, as calculated with the clubSandwich package, when dealing with multiply imputed datasets. Standard methods (i.e., Rubin’s rules) for pooling...

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Imputing covariance matrices for meta-analysis of correlated effects

In many systematic reviews, it is common for eligible studies to contribute effect size estimates from not just one, but multiple relevant outcome measures, for a common sample of participants. If those outcomes are orrelated,...

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The siren song of significance

How is statistical analysis like the Odyssey? Here’s an analogy that I used in my research methods course last semester to explain the purpose of study pre-registration. If you’ve ever read the Odyssey, you’ll recall...

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You wanna PEESE of d's?

Publication bias—or more generally, outcome reporting bias or dissemination bias—is recognized as a critical threat to the validity of findings from research syntheses. In the areas with which I am most familiar (education and psychology),...

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New working paper: Using log response ratios for meta-analyzing SCDs with behavioral outcomes

One of the papers that came out of my dissertation work (Pustejovsky, 2014) introduced an effect size metric called the log response ratio (or LRR) for use in meta-analysis of single-case research—particularly for single-case...

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