Using a Mixed IRT Model to Assess the Scale Usage in the Measurement of Job Satisfaction [PDF]
This study investigated the adequacy of a rating scale with a large number of response categories that is often used in panel surveys for assessing diverse aspects of job satisfaction.
Claudia Crayen +2 more
core +3 more sources
AbstractThe incidence of the COVID-19 pandemic heightened the levels of stress of not only students but for teachers, particularly physical education (PE) teachers. The reference to PE teachers is due to their role in engaging students in practical in-person lessons after the resumption of school.
Frank Quansah +5 more
openaire +4 more sources
Clustering South African households based on their asset status using latent variable models [PDF]
The Agincourt Health and Demographic Surveillance System has since 2001 conducted a biannual household asset survey in order to quantify household socio-economic status (SES) in a rural population living in northeast South Africa.
Clark, Samuel J. +5 more
core +1 more source
Calibrating the Medical Council of Canada’s Qualifying Examination Part I using an integrated item response theory framework: a comparison of models and designs [PDF]
Purpose: The aim of this research was to compare different methods of calibrating multiple choice question (MCQ) and clinical decision making (CDM) components for the Medical Council of Canada’s Qualifying Examination Part I (MCCQEI) based on item ...
Andre F. De Champlain +2 more
doaj +1 more source
Some procedures for computerized ability testing [PDF]
For computerized test systems to be operational, the use of item response theory is a prerequisite. As opposed to classical test theory, in item response models the abilities of the examinees and the properties of the items are parameterized separately ...
Linden, Wim J. van der +1 more
core +2 more sources
Practical Consequences of Item Response Theory Model Misfit in the Context of Test Equating with Mixed-Format Test Data [PDF]
In item response theory (IRT) models, assessing model-data fit is an essential step in IRT calibration. While no general agreement has ever been reached on the best methods or approaches to use for detecting misfit, perhaps the more important comment based upon the research findings is that rarely does the research evaluate IRT misfit by focusing on ...
Zhao, Y, Hambleton, R K
openaire +4 more sources
Background The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance, and could lead to a better ...
Antoine Barbieri +5 more
doaj +1 more source
Explanatory IRT Analysis Using the SPIRIT Macro in SPSS [PDF]
Item Response Theory (IRT) is a modeling framework that can be applied to a large variety of research questions spanning several disciplines. To make IRT models more accessible for the general researcher, a free tool has been created that can easily ...
DiTrapani, Jack +2 more
doaj +1 more source
Correcting For Measurement Error In Latent Variables Used As Predictors [PDF]
This paper represents a methodological-substantive synergy. A new model, the Mixed Effects Structural Equations (MESE) model which combines structural equations modeling and item response theory, is introduced to attend to measurement error bias when ...
Schofield, Lynne Steuerle
core +2 more sources
Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose +6 more
doaj +1 more source

