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-...

tandfonline.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...

link.springer.com

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....

doi.org

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...

steinhardt.nyu.edu

Polytomous explanatory item response models for item discrimination: Assessing negative-framing effects in social-emotional learning surveys

link.springer.com

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...

arxiv.org