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


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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New tutorial paper on BC-SMD effect sizes

I’m pleased to announce that the Campbell Collaboration has just published a new discussion paper that I wrote with my colleagues Jeff Valentine and Emily Tanner-Smith about between-case standardized mean difference effect sizes...

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Presentation at IES 2016 PI meeting

I am just back from the Institute of Education Sciences 2016 Principal Investigators meeting. Rob Horner had organized a session titled “Single-case methods: Current status and needed directions” as a tribute to our colleague Will...

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Bug in nlme::lme with fixed sigma and REML estimation

About one year ago, the nlme package introduced a feature that allowed the user to specify a fixed value for the residual variance in linear mixed effect models fitted with lme(). This feature...

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What is Tau-U?

Parker, Vannest, Davis, and Sauber (2011) proposed the Tau-U index—actually several indices, rather—as effect size measures for single-case designs. The original paper describes several different indices that involve corrections for trend during the baseline...

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New working paper: Procedural sensitivities of SCD effect sizes

I’ve just posted a new version of my working paper, Procedural sensitivities of effect sizes for single-case designs with behavioral outcome measures. The abstract is below. This version is a major update of an Full Post...

Simulation studies in R (Fall, 2016 version)

In today’s Quant Methods colloquium, I gave an introduction to the logic and purposes of Monte Carlo simulation studies, with examples written in R.

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