T13.01.S02 Psychometrics Choosing an IRT Logistic Model from ICCs
Data d'actualització: 08/04/2020 08:28:40
ID: 59777
Creador: MELIA NAVARRO, JOSE LUIS 
Categoría: Psicología
Clasificación Unesco: Psicología::Evaluación y diagnóstico en psicología::Psicometría
Descripción: 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.
Etiquetas: Psychometrics IRT 1PL 2PL 3PL logistic models,
Resolucion:
Puntuación: Sense puntuacio (puntuar).
Licencia CC: Reconocimiento - NoComercial (by-nc)a
Visitas: 66
Añadir comentarioVídeos Relacionados
T13.01.S02 Psychometrics
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.
T05.1 The core of the CTT
T05.1 Slides 2-9. "Situation 1": The definition of the true score, the observed score, and the error of measurement. Why the sum (and the mean) of the errors of measurement is always 0 in situation 1.
T12.3 S19_S25.mp4 Probability 1PL 2PL 3PL
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.
P08.1 s6_7 Percentage of Agreement
This video shows how to work out the proportion and the percentage of agreement between two raters. It also shows how to calculate the proportion and percentage of agreements for a specific cell. Document P08.1, slides 6 and 7.
T12.03 Psychometrics. How to draw an ICC - General Ideas
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).