Understanding Item Response Theory in Measurement Models
Item Response Theory (IRT) is a statistical measurement model used to describe the relationship between responses on a given item and the underlying trait being measured. It allows for indirectly measuring unobservable variables using indicators and provides advantages such as independent ability es
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Understanding Item-Response Theory (IRT) in Educational Assessments
This lecture covers the design and use of test scores, focusing on the principles of Item-Response Theory (IRT) in large-scale international assessments. IRT aims to measure latent traits reliably by analyzing individual question responses rather than just total scores. The advantages of IRT over Cl
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Detecting and Predicting Differential Item Functioning Using the MIMIC Model
Explore how the Multiple Indicators Multiple Causes (MIMIC) model can be applied to detect and predict potential biases in assessments, particularly between genders. Research questions include investigating attitudinal factors that may influence differential item functioning. The model incorporates
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