A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items. [PDF]
Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately ...
Ferrando PJ, Navarro-González D.
europepmc +5 more sources
Simple-Structure Multidimensional Item Response Theory Equating for Multidimensional Tests. [PDF]
A theoretical and conceptual framework for true-score equating using a simple-structure multidimensional item response theory (SS-MIRT) model is developed. A true-score equating method, referred to as the SS-MIRT true-score equating (SMT) procedure, also is developed.
Kim SY, Lee WC, Kolen MJ.
europepmc +5 more sources
Incorporating the Q-Matrix Into Multidimensional Item Response Theory Models. [PDF]
Multidimensional item response theory (MIRT) models use data from individual item responses to estimate multiple latent traits of interest, making them useful in educational and psychological measurement, among other areas. When MIRT models are applied in practice, it is not uncommon to see that some items are designed to measure all latent traits ...
da Silva MA +3 more
europepmc +7 more sources
Measuring State and Trait Anxiety: An Application of Multidimensional Item Response Theory [PDF]
The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a widely used measure of state and trait anxiety. Within the Classical Testing Theory model, consistent findings provide support for its multidimensional factor structure ...
Leonardo Carlucci +4 more
doaj +2 more sources
Resilience measurement scale in family caregivers of children with cancer: Multidimensional item response theory modeling [PDF]
BackgroundCurrently, information about the psychometric properties of the Resilience Measurement Scale (RESI-M) in family caregivers of children with cancer according to item response theory (IRT) is not available; this information could complement and ...
Said Jiménez +6 more
doaj +2 more sources
New resilience instrument for family caregivers in cancer: a multidimensional item response theory analysis [PDF]
Objective Resilience instruments specific to family caregivers (FCs) in cancer are limited. This study was designed to validate the 10-item Resilience Scale Specific to Cancer (RS-SC-10) in FCs using multidimensional item response theory (MIRT) analysis.
Mu Zi Liang +7 more
doaj +2 more sources
Adaptive measurement of cognitive function based on multidimensional item response theory [PDF]
INTRODUCTION Up to 20% of older adults in the United States have mild cognitive impairment (MCI), and about one‐third of people with MCI are predicted to transition to Alzheimer's disease (AD) within 5 years.
Robert D. Gibbons +5 more
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Psychometric properties of the cultural mix coping inventory for stressful situations using physical education teachers: a multidimensional item response theory analysis [PDF]
The incidence of the COVID-19 pandemic heightened the levels of stress of not only students but for teachers, particularly physical education (PE) teachers.
Frank Quansah +5 more
doaj +2 more sources
Supervised Multidimensional Item Response Theory Modeling of Pediatric Iatrogenic Withdrawal Symptoms [PDF]
Item‐level data from composite scales can be analyzed with pharmacometric item response theory (IRT) models to improve the quantification of disease severity compared with the use of total composite scores.
Sebastiaan C. Goulooze +6 more
doaj +2 more sources
Factor Retention in Exploratory Multidimensional Item Response Theory. [PDF]
Multidimensional Item Response Theory (MIRT) is applied routinely in developing educational and psychological assessment tools, for instance, for exploring multidimensional structures of items using exploratory MIRT. A critical decision in exploratory MIRT analyses is the number of factors to retain.
Chen C +3 more
europepmc +4 more sources

