The goal of this special section was to encourage discussion about replication in assessment science, as well as the use and development of registered replication and open science more broadly. The contributions span a range of topics, from the replicability and generalizability of measurement models, to challenges in the replicability of results from intensively longitudinal designs, to a discussion of how preregistration should be used in assessment science. Collectively, the papers in this special section provide a view of replication as part of the process by which scientific theories are evaluated and evolve.
BonifayW.WinterS.SkoblowH.WattsA. (2025). Good fit is weak evidence of replication: Increasing rigor through prior predictive similarity checking. Assessment.
2.
BuchananE. (2025). visualizemi: Visualization, effect size, and replication of measurement invariance for registered reports. Assessment.
3.
ClarkL. A.WatsonD. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31(12), 1412–1427. https://doi.org/10.1037/pas0000626
4.
KlonskyE. D. (2025). Campbell’s Law explains the replication crisis: Pre-registration badges are history repeating. Assessment.
5.
LafitG.RevolJ.CloosL.KuppensP.CeulemansE. (2025). The effect of different construct operationalizations, study duration, and preprocessing choices on power-based sample size recommendations in intensive longitudinal research. Assessment.
