Related Experiment Video
Updated: Jul 18, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
Published on: November 9, 2018
Using effect sizes for research reporting: examples using item response theory to analyze differential item
Lynne Steinberg1, David Thissen
1Department of Psychology, University of Houston, Houston, TX 770204-5022, USA. lsteinberg@uh.edu
Abstract:
The psychological literature currently emphasizes reporting the "effect size" of research findings in addition to the outcome of any tests of significance. However, some confusion may result from the fact that there are three distinct uses of effect sizes in the psychological literature, namely, power analysis, research synthesis, and research reporting. The authors review these uses of effect sizes and develop a case study of the description of effect size for research reporting in the context of item response theory. For many parametric models, hypotheses are tested by comparing the values of directly interpretable parameters. The authors show that the size of the effect can be expressed by a presentation of the values of the parameter estimates derived from the fitted model. Studies that use item response theory to detect differential item functioning provide illustrations.
Related Concept Videos
Friedman Two-way Analysis of Variance by Ranks
Expected Frequencies in Goodness-of-Fit Tests
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Response Surface Methodology
The process of RSM involves several key steps:
Fisher's Exact Test
Identifying Statistically Significant Differences: The F-Test
