P08.1 s1 Probability of Agreement by Chance
Data d'actualització: 10/05/2021 04:07:33
ID: 70939
Creador: MELIA NAVARRO, JOSE LUIS 
URL: https://mmedia.uv.es/html5/u/me/meliajl/70939_p08.1s9agreementchance.mp4
Código de inserción:
<video poster="https://mmedia.uv.es/g?user=meliajl&path=/&name=p08.1s9agreementchance.mp4&resource_id=70939" controls="" autoplay="" autobuffer="" controlslist="nodownload">
<source src="https://mmedia.uv.es/html5/u/me/meliajl/70939_p08.1s9agreementchance.mp4" type="video/mp4">
</video>
Categoría: Psicología
Clasificación Unesco: Psicología::Evaluación y diagnóstico en psicología::Psicometría
Descripción: 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.
Etiquetas: Psychometrics IRR Test Validity Content Validity,
Resolucion: 
1280 x 720
16:9
Puntuación: Sense puntuacio (puntuar).
Licencia CC: Reconocimiento - NoComercial (by-nc)a
Visitas: 412
Añadir comentarioVídeos Relacionados
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.
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.
T13.01.S02 Psychometrics Choosing an IRT Logistic Model from ICCs
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.
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.
T12.4.S2. Psychometrics
Postcasts explaining a selection of psychometric slides. www.uv.es/psicometria