James E Pustejovsky
Biographic Data
| ID | 635681 |
|---|---|
| NAME | James E Pustejovsky |
| GIVEN NAMES | James E |
| FAMILY NAME | Pustejovsky |
| SIGNATURE | PUSTEJOVSKY J E |
| AFFILIATIONS | University of Wisconsin–Madison |
| ORCID | 0000-0003-0591-9465 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Flexible distributional models for meta-analysis of reading fluency outcomes from single-case designs: An examination using Bayesian methods
Between-case standardized mean differences: Flexible methods for single-case designs
The efficacy of combining cognitive training and noninvasive brain stimulation: A transdiagnostic systematic review and meta-analysis
Over the past decade, an increasing number of studies investigated the innovative approach of supplementing cognitive training (CT) with noninvasive brain stimulation (NIBS) to increase the effects on outcomes. In this review, we aim to summarize the evidence for this treatment combination. We identified 72 published and unpublished studies (reporting 773 effect sizes), including 2,518 participants from healthy and clinical populations indexed in…
Retracted Article: High replicability of newly discovered social-behavioural findings is achievable
Failures to replicate evidence of new discoveries have forced scientists to ask whether this unreliability is due to suboptimal implementation of methods or whether presumptively optimal methods are not, in fact, optimal. This paper reports an investigation by four coordinated laboratories of the prospective replicability of 16 novel experimental findings using rigour-enhancing practices: confirmatory tests, large sample sizes, preregistration an…
Meta-analysis with Robust Variance Estimation: Expanding the Range of Working Models
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.
Selective reporting of results based on their statistical significance threatens the validity of meta-analytic findings. A variety of techniques for detecting selective reporting, publication bias, or small-study effects are available and are routinely used in research syntheses. Most such techniques are univariate, in that they assume that each study contributes a single, independent effect size estimate to the meta-analysis. In practice, howeve…
Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models
In panel data models and other regressions with unobserved effects, fixed effects estimation is often paired with cluster-robust variance estimation (CRVE) to account for heteroscedasticity and un-modeled dependence among the errors. Although asymptotically consistent, CRVE can be biased downward when the number of clusters is small, leading to hypothesis tests with rejection rates that are too high. More accurate tests can be constructed using b…
A Gradual Effects Model for Single-Case Designs
Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized populations, such as individuals with low-incidence disabilities. There has been growing interest in systematic reviews and syntheses of evidence from single-case designs, but there remains a need to further develop appropriate statistical models and effect sizes for data from the designs. We propose a novel mode…
Religion, spirituality, and physical health in cancer patients: A meta‐analysis
Although religion/spirituality (R/S) is important in its own right for many cancer patients, a large body of research has examined whether R/S is also associated with better physical health outcomes. This literature has been characterized by heterogeneity in sample composition, measures of R/S, and measures of physical health. In an effort to synthesize previous findings, a meta‐analysis of the relation between R/S and patient‐reported physical h…
Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression
Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces dependence among the effect size estimates. When the number of studies is large, robust variance estimation (RVE) provides a method for pooling dependent effects, even when information on the exact d…
Four Methods for Analyzing Partial Interval Recording Data, with Application to Single-Case Research
Partial interval recording (PIR) is a procedure for collecting measurements during direct observation of behavior. It is used in several areas of educational and psychological research, particularly in connection with single-case research. Measurements collected using partial interval recording suffer from construct invalidity because they are not readily interpretable in terms of the underlying characteristics of the behavior. Using an alternati…
Question-order effects in social network name generators
Retracted Article: High replicability of newly discovered social-behavioural findings is achievable
Failures to replicate evidence of new discoveries have forced scientists to ask whether this unreliability is due to suboptimal implementation of methods or whether presumptively optimal methods are not, in fact, optimal. This paper reports an investigation by four coordinated laboratories of the prospective replicability of 16 novel experimental findings using rigour-enhancing practices: confirmatory tests, large sample sizes, preregistration an…
Question-order effects in social network name generators
Religion, spirituality, and physical health in cancer patients: A meta‐analysis
Although religion/spirituality (R/S) is important in its own right for many cancer patients, a large body of research has examined whether R/S is also associated with better physical health outcomes. This literature has been characterized by heterogeneity in sample composition, measures of R/S, and measures of physical health. In an effort to synthesize previous findings, a meta‐analysis of the relation between R/S and patient‐reported physical h…
Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression
Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces dependence among the effect size estimates. When the number of studies is large, robust variance estimation (RVE) provides a method for pooling dependent effects, even when information on the exact d…
Four Methods for Analyzing Partial Interval Recording Data, with Application to Single-Case Research
Partial interval recording (PIR) is a procedure for collecting measurements during direct observation of behavior. It is used in several areas of educational and psychological research, particularly in connection with single-case research. Measurements collected using partial interval recording suffer from construct invalidity because they are not readily interpretable in terms of the underlying characteristics of the behavior. Using an alternati…
Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models
In panel data models and other regressions with unobserved effects, fixed effects estimation is often paired with cluster-robust variance estimation (CRVE) to account for heteroscedasticity and un-modeled dependence among the errors. Although asymptotically consistent, CRVE can be biased downward when the number of clusters is small, leading to hypothesis tests with rejection rates that are too high. More accurate tests can be constructed using b…
A Gradual Effects Model for Single-Case Designs
Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized populations, such as individuals with low-incidence disabilities. There has been growing interest in systematic reviews and syntheses of evidence from single-case designs, but there remains a need to further develop appropriate statistical models and effect sizes for data from the designs. We propose a novel mode…
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.
Selective reporting of results based on their statistical significance threatens the validity of meta-analytic findings. A variety of techniques for detecting selective reporting, publication bias, or small-study effects are available and are routinely used in research syntheses. Most such techniques are univariate, in that they assume that each study contributes a single, independent effect size estimate to the meta-analysis. In practice, howeve…
Meta-analysis with Robust Variance Estimation: Expanding the Range of Working Models
Between-case standardized mean differences: Flexible methods for single-case designs
The efficacy of combining cognitive training and noninvasive brain stimulation: A transdiagnostic systematic review and meta-analysis
Over the past decade, an increasing number of studies investigated the innovative approach of supplementing cognitive training (CT) with noninvasive brain stimulation (NIBS) to increase the effects on outcomes. In this review, we aim to summarize the evidence for this treatment combination. We identified 72 published and unpublished studies (reporting 773 effect sizes), including 2,518 participants from healthy and clinical populations indexed in…
Retracted Article: High replicability of newly discovered social-behavioural findings is achievable
Failures to replicate evidence of new discoveries have forced scientists to ask whether this unreliability is due to suboptimal implementation of methods or whether presumptively optimal methods are not, in fact, optimal. This paper reports an investigation by four coordinated laboratories of the prospective replicability of 16 novel experimental findings using rigour-enhancing practices: confirmatory tests, large sample sizes, preregistration an…
Flexible distributional models for meta-analysis of reading fluency outcomes from single-case designs: An examination using Bayesian methods
Mathematics (8 works) · Statistics (8 works) · Computer Science (6 works) · Econometrics (6 works) · Psychology (5 works) · Behavioral and Psychological Studies (4 works) · Confidence interval (4 works) · Medicine (4 works) · Meta-analysis (4 works) · Sample size determination (4 works)