This paper reflects on some practical implications of the excellent treatment of sum scoring
and classical test theory (CTT) by Sijtsma et al.(Psychometrika 89 (1): 84–117, 2024). I have …

Longitudinal models typically emphasize between-person predictors of change but ignore
how growth varies within persons because each person contributes only one data point at …

While a great deal of thought, planning, and money goes into the design of multisite
randomized control trials (RCTs) that are used to evaluate the effectiveness of interventions …

Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the
impacts of educational interventions. A standard practice for HTE analysis is to examine …

Researchers compare aggregate test data across treatment and control group in
randomized controlled trials to determine intervention impact on student achievement. We …

Autistic children are at higher risk of experiencing adverse childhood experiences, which
lead to negative health outcomes such as sleep difficulties. In the general population, family …

Survey scores are often the basis for understanding how individuals grow psychologically
and socio-emotionally. A known problem with many surveys is that the items are all “easy” …

This simulation study examines the characteristics of the Explanatory Item Response Model
(EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum …

Evaluators often invest much effort into designing evaluation studies. However, there is
evidence that less attention is paid to measurement. One possible explanation is that focus …

Analyses of heterogeneous treatment effects (HTE) are common in applied causal inference
research. However, when outcomes are latent variables assessed via psychometric …