Journal Article Detail Page

Physical Review Special Topics - Physics Education Research
written by Lin Ding and Robert J. Beichner
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.
Subjects ADS Supplements Resource Types
Education Foundations
- Assessment
= Instruments
- Research Design & Methodology
= Statistics
= Validity
General Physics
- Physics Education Research
Mathematical Tools
- Statistics
Other Sciences
- Mathematics
- Reference Material
= Article
= Nonfiction Reference
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Free access
Personal use only, all commercial or other reuse prohibited
Restriction:
© 2009 American Physical Society
DOI:
10.1103/PhysRevSTPER.5.020103
PACSs:
01.40.Fk
01.40.gf
01.40.G-
Keywords:
Classical Test Theory, Cluster Analysis, Data Analysis Methods, Factor Analysis, Item Response Theory, Model Analysis
Record Creator:
Metadata instance created February 16, 2010 by Lyle Barbato
Record Updated:
September 29, 2010 by Bruce Mason
Last Update
when Cataloged:
September 10, 2009
Other Collections:

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Record Link
AIP Format
L. Ding and R. Beichner, Phys. Rev. ST Phys. Educ. Res. 5 (2), 020103 (2009), WWW Document, (http://dx.doi.org/10.1103/PhysRevSTPER.5.020103).
AJP/PRST-PER
L. Ding and R. Beichner, Approaches to data analysis of multiple-choice questions, Phys. Rev. ST Phys. Educ. Res. 5 (2), 020103 (2009), <http://dx.doi.org/10.1103/PhysRevSTPER.5.020103>.
APA Format
Ding, L., & Beichner, R. (2009, September 10). Approaches to data analysis of multiple-choice questions. Phys. Rev. ST Phys. Educ. Res., 5(2), 020103. Retrieved December 19, 2014, from http://dx.doi.org/10.1103/PhysRevSTPER.5.020103
Chicago Format
Ding, Lin, and Robert Beichner. "Approaches to data analysis of multiple-choice questions." Phys. Rev. ST Phys. Educ. Res. 5, no. 2, (September 10, 2009): 020103, http://dx.doi.org/10.1103/PhysRevSTPER.5.020103 (accessed 19 December 2014).
MLA Format
Ding, Lin, and Robert Beichner. "Approaches to data analysis of multiple-choice questions." Phys. Rev. ST Phys. Educ. Res. 5.2 (2009): 020103. 19 Dec. 2014 <http://dx.doi.org/10.1103/PhysRevSTPER.5.020103>.
BibTeX Export Format
@article{ Author = "Lin Ding and Robert Beichner", Title = {Approaches to data analysis of multiple-choice questions}, Journal = {Phys. Rev. ST Phys. Educ. Res.}, Volume = {5}, Number = {2}, Pages = {020103}, Month = {September}, Year = {2009} }
Refer Export Format

%A Lin Ding
%A Robert Beichner
%T Approaches to data analysis of multiple-choice questions
%J Phys. Rev. ST Phys. Educ. Res.
%V 5
%N 2
%D September 10, 2009
%P 020103
%U http://dx.doi.org/10.1103/PhysRevSTPER.5.020103
%O application/pdf

EndNote Export Format

%0 Journal Article
%A Ding, Lin
%A Beichner, Robert
%D September 10, 2009
%T Approaches to data analysis of multiple-choice questions
%J Phys. Rev. ST Phys. Educ. Res.
%V 5
%N 2
%P 020103
%8 September 10, 2009
%U http://dx.doi.org/10.1103/PhysRevSTPER.5.020103


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