The aim of the current study is to provide improvement evaluation practices in the
educational process. A multiple choice test was developed, which was based on content …

Accurate item calibration in models of item response theory (IRT) requires rather large
samples. For instance, N> 500 respondents are typically recommended for the two …

Hierarchical Bayesian modeling is beneficial when complex models with many parameters
of the same type, such as item response theory (IRT) models, are to be estimated with …

Item response theory (IRT) has evolved as a standard psychometric approach in recent
years, in particular for test construction based on dichotomous (ie, true/false) items …

In item response theory (IRT), it is often necessary to perform restricted recalibration (RR) of
the model: A set of (focal) parameters is estimated holding a set of (nuisance) parameters …

It is widely believed that a joint factor analysis of item responses and response time (RT)
may yield more precise ability scores that are conventionally predicted from responses only …

Oral reading fluency (ORF) assessments are commonly used to screen at‐risk readers and
evaluate interventions' effectiveness as curriculum‐based measurements. Similar to the …

Background Increasing attention is being given to assessing treatment effect heterogeneity
among individuals belonging to qualitatively different latent subgroups. Inference routinely …

In applications of item response theory (IRT), it is often of interest to compute confidence
intervals (CIs) for person parameters with prescribed frequentist coverage. The ubiquitous …

Abstract This research aimed to:(1) investigate the statistical parallelism of reading literacy
instruments at the level of the overall test sets; and (2) examine whether the characteristic …