ID: 58759
Creador: MELIA NAVARRO, JOSE LUIS 
Categoría: Psicología

Clasificación Unesco: Psicología::Evaluación y diagnóstico en psicología::Psicometría
Descripción: Postcasts explaining a selection of psychometric slides.
www.uv.es/psicometria
Etiquetas: Psychometrics IRT CTT,
Resolucion:
Puntuación: Sense puntuacio (puntuar).
Licencia CC: Reconocimiento - NoComercial (by-nc)a
Visitas: 58
This podcast explains slide 2 from the document “T13.01. Information functions”. Contents: -Description and interpretation of a graph displaying the ICCs of two items. -Comparison of the two ICCs from the perspective of the item the discrimination.
This video explains slide 9 from the document P08.1. How to calculate the probability of agreement by chance between two raters, or between a prediction and the real result.
How to calculate the probability of a correct answer given a logistic model (1PL, 2PL, and 3PL) Knowing the examinee's theta score and the item parameters, this video shows how to calculate and interpret the probability of a correct answer.
Each logistic model (1PL, 2PL or 3PL) presents a definite way of Item Characteristic Curve. How to identify which logistic model to apply based on the ICC graphs? This podcast explains how to choose the logistic model based on the ICC graphs on slide 2 in the document T13.01.
This audio podcast explains the different ways we may sketch an Item Characteristic Curve (ICC), even using just a pocket calculator and a piece of paper. In Item Response Theory (IRT), an ICC is the graphical expression of a logistic function (like a 1PL 2PL or 3PL model) and shows the probability of the correct answer (P(Theta)) for every latent trait level (Theta).