Marginal Maximum Likelihood Estimation of Item Response Models in R [PDF]
Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items.
Matthew S. Johnson
doaj +6 more sources
The Academic Medical Center Linear Disability Score (ALDS) item bank: item response theory analysis in a mixed patient population [PDF]
Background Currently, there is a lot of interest in the flexible framework offered by item banks for measuring patient relevant outcomes. However, there are few item banks, which have been developed to quantify functional status, as expressed by the ...
Vermeulen Marinus +6 more
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Classification accuracy of mixed format tests: A bi-factor approach [PDF]
Mixed format tests (e.g., a test consisting of multiple-choice [MC] items and constructed response [CR] items) have become increasingly popular. However, the latent structure of item pools consisting of the two formats is still equivocal.
Wei eWang +2 more
doaj +4 more sources
A Comparative Study of Item Response Theory Models for Mixed Discrete-Continuous Responses
Language proficiency assessments are pivotal in educational and professional decision-making. With the integration of AI-driven technologies, these assessments can more frequently use item types, such as dictation tasks, producing response features with ...
Cengiz Zopluoglu, J. R. Lockwood
doaj +3 more sources
Design and validation of the Disaster Health Literacy Questionnaire for diabetes patients in Iran: a mixed-methods study [PDF]
Objectives To develop and psychometrically evaluate a multidimensional Disaster Health Literacy Questionnaire (DHLQ) for diabetic patients in Iran, using advanced item response theory approaches.
Zahra Heidari +4 more
doaj +2 more sources
Normative Data for Learning and Memory Test (TAMV-I) in Latin American and Spanish Children: An item response theory and linear mixed models approach. [PDF]
Robust normative data for pediatric learning and memory tests in Spanish-speaking populations are scarce, and existing approaches often rely on univariate methods that overlook item-level properties and inter-trial dependencies.
Eliana María Fuentes Mendoza +11 more
doaj +2 more sources
Estimating the Multilevel Rasch Model: With the lme4 Package [PDF]
Traditional Rasch estimation of the item and student parameters via marginal maximum likelihood, joint maximum likelihood or conditional maximum likelihood, assume individuals in clustered settings are uncorrelated and items within a test that share a ...
Harold Doran +3 more
doaj +1 more source
Design and selection of items for a new health-related quality of life instrument with infertility patients (Infertility-QoL): a national multicenter, four-phase, mixed-methods study [PDF]
Background Infertility is a global issue that significantly imposes physical and psychosocial burdens on both female and male patients, affecting their health-related quality of life (HRQoL) and family wellbeing. The aim of this study was to develop a de
Zhao Shi +5 more
doaj +2 more sources
Automated Essay Scoring Effect on Test Equating Errors in Mixed-format Test
Scoring constructed-response items can be highly difficult, time-consuming, and costly in practice. Improvements in computer technology have enabled automated scoring of constructed-response items. However, the application of automated scoring without an
Nuri Doğan, İbrahim Uysal
doaj +1 more source
Rheumatoid arthritis, item response theory, Blom transformation, and mixed models [PDF]
We studied rheumatoid arthritis (RA) in the North American Rheumatoid Arthritis Consortium (NARAC) data (1499 subjects; 757 families). Identical methods were applied for studying RA in the Genetic Analysis Workshop 15 (GAW15) simulated data (with a prior knowledge of the simulation answers).
Kraja, Aldi T +7 more
openaire +2 more sources

