Approaches to data analysis of multiple-choice questions

This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with exam...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Lin Ding, Robert Beichner
Formato:	article
Lenguaje:	EN
Publicado:	American Physical Society 2009
Materias:	Special aspects of education LC8-6691 Physics QC1-999
Acceso en línea:	https://doaj.org/article/ca804281865a4bd38a0d7d16cb093c47
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ca804281865a4bd38a0d7d16cb093c47
record_format	dspace
spelling	oai:doaj.org-article:ca804281865a4bd38a0d7d16cb093c472021-12-02T10:59:54ZApproaches to data analysis of multiple-choice questions10.1103/PhysRevSTPER.5.0201031554-9178https://doaj.org/article/ca804281865a4bd38a0d7d16cb093c472009-09-01T00:00:00Zhttp://doi.org/10.1103/PhysRevSTPER.5.020103http://doi.org/10.1103/PhysRevSTPER.5.020103https://doaj.org/toc/1554-9178This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches.Lin DingRobert BeichnerAmerican Physical SocietyarticleSpecial aspects of educationLC8-6691PhysicsQC1-999ENPhysical Review Special Topics. Physics Education Research, Vol 5, Iss 2, p 020103 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Special aspects of education LC8-6691 Physics QC1-999
spellingShingle	Special aspects of education LC8-6691 Physics QC1-999 Lin Ding Robert Beichner Approaches to data analysis of multiple-choice questions
description	This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches.
format	article
author	Lin Ding Robert Beichner
author_facet	Lin Ding Robert Beichner
author_sort	Lin Ding
title	Approaches to data analysis of multiple-choice questions
title_short	Approaches to data analysis of multiple-choice questions
title_full	Approaches to data analysis of multiple-choice questions
title_fullStr	Approaches to data analysis of multiple-choice questions
title_full_unstemmed	Approaches to data analysis of multiple-choice questions
title_sort	approaches to data analysis of multiple-choice questions
publisher	American Physical Society
publishDate	2009
url	https://doaj.org/article/ca804281865a4bd38a0d7d16cb093c47
work_keys_str_mv	AT linding approachestodataanalysisofmultiplechoicequestions AT robertbeichner approachestodataanalysisofmultiplechoicequestions
_version_	1718396379333656576

Approaches to data analysis of multiple-choice questions

Ejemplares similares