In this digital ITEMS module, Dr. Stella Kim provides an overview of multidimensional item response theory (MIRT) equating. Traditional unidimensional (IRT) equating methods impose the sometimes untenable restriction on data that only a single ability is assessed. This module discusses potential sources multidimensionality and presents consequences To remedy these effects, MIRT can be used as v...

This article reviews recent developments in the assessment of creativity using self-report scales. We focus on four new and promising scales: the Creative Achievement Questionnaire, the Biographical Inventory of Creative Behaviors, the revised Creative Behavior Inventory, and the Creative Domain Questionnaire. For each scale, we review evidence for reliability, validity, and structure, and we d...

With fast development in e-learning, assessment plays an important role between teaching and learning. A good e-learning system is not only with good teaching strategy and better learning resources but also proper assessment model. In this paper, we proposed an assessment meta-data and assessment analysis feedback for recently e-learning environments. There are several proper feedback for teach...

A structural measurement model (Adams, Wilson, & Wu, 1997) consists of an item response theory model for responses conditional on ability and a structural model that describes the distribution of ability in the population. As a rule, ability is assumed to be normally distributed in the population. However, there are situations where there is reason to assume that the distribution of ability is ...

Weekly cycles in emotion were examined by combining item response modeling and spectral analysis approaches in an analysis of 179 college students’ reports of daily emotions experienced over 7 weeks. We addressed the measurement of emotion using an item response model. Spectral analysis and multilevel sinusoidal models were used to identify interindividual differences in intraindividual cyclic ...

A crucial point regarding the development and calibration of an aptitude test is the presence of missing values. In most test administrations, examinees omit individual items even in high-stakes tests. The most common procedure for treating these missing values in data analysis is to score these responses as incorrect; however, an alternative would be to consider omitted responses as if they we...