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Aug 19, 2021 · Item response theory (IRT) has become one of the most popular statistical models for psychometrics, a field of study concerned with the theory and techniques of psychological measurement. The IRT models are latent factor models tailored to the analysis, interpretation, and prediction of individuals' behaviors in answering a set of measurement items that typically involve categorical response ...
Methods. We review classical test theory and item response theory approaches to evaluating PRO measures including frequency of responses to each category of the items in a multi-item scale, the distribution of scale scores, floor and ceiling effects, the relationship between item response options and the total score, and the extent to which hypothesized “difficulty” (severity) order of ...
Linear regression. The simplest linear regression model is the following, with a single predictor and a slope and intercept coefficient, and normally distributed noise. This model can be written using standard regression notation as y n = α + β x n + ϵ n where ϵ n ∼ normal ( 0, σ).
Term. 1 / 34. What assumption underlies the IRT model? Click the card to flip 👆. Definition. 1 / 34. The IRT model assumes that the probability of a given person/item interaction is governed ONLY by: 1. item difficulty; 2. person ability.
2.1 What IRT Offers Patient-Reported Outcome (PRO) Measures. The advantages that IRT confers over classical test theory are well documented [9, 10, 15].First, by modeling the relationship of individual items to the construct being measured, IRT provides a much richer description of the performance of each item, which is useful during PRO measure development or refinement to ensure that the ...
This book provides a lucid hut rigorous introduction to the fundamental concepts of item response theory, followed by thorough. Rccessible descriptions of the application of IRT methods to problems in test construction, identification of potentially hiased test items, test equating, and computerized-adaptive testing.
Item response theory (IRT) is also known as modern testing theory or latent trait theory. In classical test theory, items on a scale measuring a single construct are generally considered to be equivalent to each other. IRT measures the specific characteristics of each item. An item characteristic curve (ICC) can be defined for each item.
