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1. Verfasser: Gavin T. L Brown
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad Peruana de Ciencias Aplicadas 2023
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Online-Zugang:https://www.redalyc.org/articulo.oa?id=498576592009
https://www.redalyc.org/journal/4985/498576592009/
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https://www.redalyc.org/journal/4985/498576592009/498576592009.epub
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https://doi.org/10.19083/ridu.2023.1834
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author Gavin T. L Brown
author_facet Gavin T. L Brown
contents Principles and assumptions of psychometric measurement Gavin T. L Brown Educación Self report validity evaluation reliability Introduction: the validity of claims about learner self-reports depends on the credibility of the measures used. Inventories developed within the psychometric tradition are expected to provide theoretical and empirical evidence for the validity and reliability of the measures to support subsequent interpretations and decisions. These practices depend on a set of assumptions based on latent trait theory that are essential to understanding what psychometric measures can do. This tutorial outlines essential characteristics of design and reporting of psychometric self-report data. 2023 artículo científico 2223-2516 https://www.redalyc.org/articulo.oa?id=498576592009 https://www.redalyc.org/journal/4985/498576592009/ https://www.redalyc.org/journal/4985/498576592009/html/ https://www.redalyc.org/journal/4985/498576592009/498576592009.epub https://www.redalyc.org/journal/4985/498576592009/movil https://doi.org/10.19083/ridu.2023.1834 en http://www.redalyc.org/revista.oa?id=4985 Revista Digital de Investigación en Docencia Universitaria application/pdf Universidad Peruana de Ciencias Aplicadas Revista Digital de Investigación en Docencia Universitaria (Perú) Num.2 Vol.17
format Artículo científico
id redalyc_498576592009
language en
publishDate 2023
publisher Universidad Peruana de Ciencias Aplicadas
spellingShingle Principles and assumptions of psychometric measurement
Gavin T. L Brown
Educación
Self
report
validity
evaluation
reliability
Principles and assumptions of psychometric measurement Gavin T. L Brown Educación Self report validity evaluation reliability Introduction: the validity of claims about learner self-reports depends on the credibility of the measures used. Inventories developed within the psychometric tradition are expected to provide theoretical and empirical evidence for the validity and reliability of the measures to support subsequent interpretations and decisions. These practices depend on a set of assumptions based on latent trait theory that are essential to understanding what psychometric measures can do. This tutorial outlines essential characteristics of design and reporting of psychometric self-report data. 2023 artículo científico 2223-2516 https://www.redalyc.org/articulo.oa?id=498576592009 https://www.redalyc.org/journal/4985/498576592009/ https://www.redalyc.org/journal/4985/498576592009/html/ https://www.redalyc.org/journal/4985/498576592009/498576592009.epub https://www.redalyc.org/journal/4985/498576592009/movil https://doi.org/10.19083/ridu.2023.1834 en http://www.redalyc.org/revista.oa?id=4985 Revista Digital de Investigación en Docencia Universitaria application/pdf Universidad Peruana de Ciencias Aplicadas Revista Digital de Investigación en Docencia Universitaria (Perú) Num.2 Vol.17
title Principles and assumptions of psychometric measurement
topic Educación
Self
report
validity
evaluation
reliability
url https://www.redalyc.org/articulo.oa?id=498576592009
https://www.redalyc.org/journal/4985/498576592009/
https://www.redalyc.org/journal/4985/498576592009/html/
https://www.redalyc.org/journal/4985/498576592009/498576592009.epub
https://www.redalyc.org/journal/4985/498576592009/movil
https://doi.org/10.19083/ridu.2023.1834