Related Experiment Video
Updated: Feb 13, 2026

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
Published on: April 25, 2025
Equating Errors and Scale Drift in Linked-Chain IRT Equating with Mixed-Format Tests
1Bo Hu, Department of Educational Psychology, University of Kansas, Joseph R. Pearson Hall, 1122 West Campus Road, Lawrence, KS 60645, USA, who.bo@ku.edu.
Abstract:
In linked-chain equating, equating errors may accumulate and cause scale drift. This simulation study extends the investigation on scale drift in linked-chain equating to mixed-format test. Specifically, the impact of equating method and the characteristics of anchor test and equating chain on equating errors and scale drift in IRT true score equating is examined. To evaluate equating results, a new method is used to derive true linking coefficients. The results indicate that the characteristic curve methods produce more accurate and reliable equating results than the moment methods. Although using more anchor items or an anchor test configuration with more IRT parameters can lower the variability of equating results, neither of them help control equating bias. Additionally, scale drift increases when an equating chain runs longer or poorly calibrated test forms are added to the chain. The role of calibration precision in evaluating equating results is highlighted.
Related Concept Videos
Chemical Equations
The Nernst Equation
The interconnection between standard cell potentials and various thermodynamic parameters such as the standard free energy change ΔG° and equilibrium constant K has been previously explored. For example, a redox reaction involving zinc(II) and tin(II) ions at 1 M concentration with Eºcell = +0.291 V and ΔG° = −56.2 kJ is spontaneous.
Henderson-Hasselbalch Equation
Thermochemical Equations
Clausius-Clapeyron Equation
Balancing Redox Equations

