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jbgilbert.bsky.social

@jbgilbert.bsky.social
22 followers 12 following 6 posts
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Reposted by @jbgilbert.bsky.social
Betsy Wolf @betsyjwolf.bsky.social · 28/07/2026
Very excited about this new paper from @jbgilbert.bsky.social! It uses item-level data to investigate why effect sizes are so much larger on measures created by researchers than ones developed by independent parties... www.tandfonline.com/doi/full/10....
tandfonline.com
Mechanisms of Effect Size Differences Between Researcher Developed and Independently Developed Outcomes: An Item-Level Meta-Analysis
Differences in effect sizes between researcher-developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-...
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Reposted by @jbgilbert.bsky.social
Item Response Warehouse @itemrespwarehouse.bsky.social · 05/09/2025
Publication describing the IRW now out! link.springer.com/article/10.3... Over 1000 datasets in there with tools for pulling directly from R!
link.springer.com
An introduction to the Item Response Warehouse (IRW): A resource for enhancing data usage in psychometrics - Behavior Research Methods
The Item Response Warehouse (IRW) is a collection and standardization of a large volume of item response datasets in a free and open-source platform for researchers. We describe key elements of the da...
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jbgilbert.bsky.social @jbgilbert.bsky.social · 21/06/2025
New paper out today in Journal of Policy Analysis and Management: doi.org/10.1002/pam.... @itemrespwarehouse.bsky.social
doi.org
Estimating heterogeneous treatment effects with item‐level outcome data: Insights from Item Response Theory
Analyses of heterogeneous treatment effects (HTE) are common in applied causal inference research. However, when outcomes are latent variables assessed via psychometric instruments such as educationa....
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Reposted by @jbgilbert.bsky.social
Item Response Warehouse @itemrespwarehouse.bsky.social · 02/06/2025
Analysis of treatment effects on psychological networks using data from the IRW: "Our results show that causal effects on network strength are both common and uncorrelated with effects on network state." New work from @jbgilbert.bsky.social psycnet.apa.org/doiLanding?d...
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Reposted by @jbgilbert.bsky.social
Klint Kanopka @klint.bsky.social · 01/04/2025
Join us at the intersection of causal inference and psychometrics as we host Josh Gilbert (@jbgilbert.bsky.social) at the PRIISM Seminar. Wednesday @ 10a: Estimating heterogeneous treatment effects with item-level data: Insights from Item Response Theory steinhardt.nyu.edu/events/estim...
steinhardt.nyu.edu
PRIISM | Estimating heterogeneous treatment effects with item-level data
Join PRIISM and Josh Gilbert to learn how to unmask hidden treatment effects within individual test items using Item Response Theory and to understand how to overcome the limitations of traditional si...
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jbgilbert.bsky.social @jbgilbert.bsky.social · 06/03/2025
New paper out yesterday in Behavior Research Methods (BRM): link.springer.com/epdf/10.3758... @itemrespwarehouse.bsky.social
link.springer.com
Polytomous explanatory item response models for item discrimination: Assessing negative-framing effects in social-emotional learning surveys
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jbgilbert.bsky.social @jbgilbert.bsky.social · 05/02/2025
To any colleagues attending the @ncme38.bsky.social conference in Denver this April, I will be offering a training session on Wed. 4/23 at 1pm. Learn more at the links below: Session Info: lnkd.in/et7P8xXS Article: lnkd.in/e4Kawn76
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Reposted by @jbgilbert.bsky.social
Item Response Warehouse @itemrespwarehouse.bsky.social · 12/12/2024
1/ What might data-rich #psychometrics research look like? As a first example, consider @jbgilbert.bsky.social on heterogeneous treatment effects (HTE). Josh uses #irt to examine item-level HTE, with insights drawn from 75 datasets across 48 randomized trials (arxiv.org/abs/2405.00161).
arxiv.org
Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
Analyses of heterogeneous treatment effects (HTE) are common in applied causal inference research. However, when outcomes are latent variables assessed via psychometric instruments such as educational...
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