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 Levels Resource Types
Education Foundations
- Assessment
= Instruments
- Research Design & Methodology
= Statistics
= Validity
General Physics
- Physics Education Research
Mathematical Tools
- Statistics
Other Sciences
- Mathematics
- Graduate/Professional
- Professional Development
- Reference Material
= Article
= Nonfiction Reference
Intended Users Formats Ratings
- Researchers
- Professional/Practitioners
- application/pdf
- text/html
  • Currently 0.0/5

Want to rate this material?
Login here!


Access Rights:
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:

ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
L. Ding and R. Beichner, , Phys. Rev. ST Phys. Educ. Res. 5 (2), 020103 (2009), WWW Document, (https://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), <https://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 April 23, 2024, from https://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, https://doi.org/10.1103/PhysRevSTPER.5.020103 (accessed 23 April 2024).
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. 23 Apr. 2024 <https://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 https://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 https://doi.org/10.1103/PhysRevSTPER.5.020103


Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.

Citation Source Information

The AIP Style presented is based on information from the AIP Style Manual.

The APA Style presented is based on information from APA Style.org: Electronic References.

The Chicago Style presented is based on information from Examples of Chicago-Style Documentation.

The MLA Style presented is based on information from the MLA FAQ.

Save to my folders

Contribute

Similar Materials