Each student worked on both item types, following a rotated within-subject design.
Criterion validity was performed with both Item Response Theory (IRT) and Classical Test Theory (CTT) paradigms using logistic regression.
This study applied both item response theory (IRT) and multiple indicators multiple causes (MIMIC) methods to evaluate item-level psychometric properties of diagnostic questions for hallucinogen use disorders (HUDs), differential item functioning (DIF), and predictors of latent HUD.
SIBTEST was conducted with 45 dichotomous-scored items at the both item and bundle level.
The model proposed herein provides estimates of both item and growth parameters as well as providing tools for the evaluation of item quality of a classroom assessment.
Meyer (2010) combined the log-normal mixture model with a Rasch mixture model to identify the mode of response behavior using both item response times and item responses.
Although the medial temporal lobes (MTLs) are critical for both item memory (IM) and source memory (SM), the lateral prefrontal cortex and posterior parietal cortex play a greater role during SM than IM.
Because the one-factor FA model is analogous to the two-parameter IRT model, it is possible to estimate item position effects when both item difficulty and item discrimination parameters are present in the model.
end{aligned}Then O is the weighted proportion of students who correctly answer both item j and item (j'), and t indicates whether O is consistent with the IRT model.
The Rasch model uses probability to determine the relationship between a raw score and a person's ability, taking both item difficulty and person ability into account on an item-by-item basis (Bond & Fox, 2001; Rasch, 1980).
LR ignoring both item and person clustering effect exhibited slightly higher type I error inflation and bias than HLR, and LR was the most efficient method due to its simplicity.
