• Gabriel Nagy
  • Alexander Robitzsch
The results of low-stakes assessments are sensitive to individuals’ persistence in maintaining a constant level of effort and precision over the course of a test. In this paper we present an item response theory (IRT) model that includes test-taking persistence as an additional latent variable. The proposed model is a continuous variant of the HYBRID IRT model. In contrast to Yamomoto’s (1989) HYBRID model, our model allows for nondeterministic changes from solution to guessing behavior. Our model assumes that, over the course of a test, individuals might change their response behavior from solution behavior to random guessing behavior. Individual differences in the turning points are used to assess persistence. Individual differences in persistence can be correlated with proficiency, as well as with additional individual-level covariates.
The new model is specified as a multilevel mixture IRT model and can be estimated by means of marginal maximum likelihood via the expectation maximization algorithm. The model was scrutinized in a simulation study that showed that the continuous HYBRID model provides
good results in a variety of conditions. An empirical application provided further support for the model’s utility because the essence of test-taking persistence was replicated in two test forms assessing science achievement.
OriginalspracheEnglisch
ZeitschriftPsychological Test and Assessment Modeling
Jahrgang63
Ausgabenummer3
Seiten (von - bis)361-395
Seitenumfang35
ISSN1614-9947
PublikationsstatusVeröffentlicht - 30.09.2021

    Fachgebiete

  • Methodenforschung und -entwicklung

ID: 1684854