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Physical Review Physics Education Research
written by Maja Planinic, William J. Boone, Ana Susac, and Lana Ivanjek
[This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] The Rasch model is a probabilistic model which describes the interaction of persons (test takers or survey respondents) with test or survey items and is governed by two parameters: item difficulty and person ability. Rasch measurement parallels physical measurement processes by constructing and using linear person and item measures that are independent of the particular characteristics of the sample and the test items along a unidimensional construct. The model's properties make it especially suitable for test construction and evaluation as well as the development and use of surveys. The evaluation of item fit with the model can pinpoint problematic items and flag idiosyncratic respondents. The possibility of determining sample--independent item difficulties makes it possible to use the Rasch model for linking tests and tracking students' progression. The use of the Rasch model in PER is continuously increasing. We provide an overview and examples of its use and benefits, and also outline common mistakes or misconceptions made by researchers when considering the use of the Rasch model. We focus in particular on the question of how Rasch modeling can improve some common practices in PER, such as test construction, test evaluation, and calculation of student gain on PER diagnostic instruments.

See Related Materials (right menu) for a link to the APS collection on quantitative methods in PER.
Physical Review Physics Education Research: Volume 15, Issue 2, Pages 020111
Subjects Levels Resource Types
Education - Basic Research
- Research Design & Methodology
= Statistics
General Physics
- Physics Education Research
Mathematical Tools
- Probability
- Statistics
Other Sciences
- Mathematics
- Graduate/Professional
- Reference Material
= Article
PER-Central Type Intended Users Ratings
- PER Literature
- Researchers
- Professional/Practitioners
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Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 4.0 license.
Rights Holder:
American Physical Society
DOI:
10.1103/PhysRevPhysEducRes.15.020111
Keywords:
psychometric models, psychometrics
Record Creator:
Metadata instance created August 23, 2019 by Sam McKagan
Record Updated:
March 2, 2023 by Caroline Hall
Last Update
when Cataloged:
July 3, 2019
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Record Link
AIP Format
M. Planinic, W. Boone, A. Susac, and L. Ivanjek, , Phys. Rev. Phys. Educ. Res. 15 (2), 020111 (2019), WWW Document, (https://doi.org/10.1103/PhysRevPhysEducRes.15.020111).
AJP/PRST-PER
M. Planinic, W. Boone, A. Susac, and L. Ivanjek, Rasch analysis in physics education research: Why measurement matters, Phys. Rev. Phys. Educ. Res. 15 (2), 020111 (2019), <https://doi.org/10.1103/PhysRevPhysEducRes.15.020111>.
APA Format
Planinic, M., Boone, W., Susac, A., & Ivanjek, L. (2019, July 3). Rasch analysis in physics education research: Why measurement matters. Phys. Rev. Phys. Educ. Res., 15(2), 020111. Retrieved February 28, 2024, from https://doi.org/10.1103/PhysRevPhysEducRes.15.020111
Chicago Format
Planinic, M, W. Boone, A. Susac, and L. Ivanjek. "Rasch analysis in physics education research: Why measurement matters." Phys. Rev. Phys. Educ. Res. 15, no. 2, (July 3, 2019): 020111, https://doi.org/10.1103/PhysRevPhysEducRes.15.020111 (accessed 28 February 2024).
MLA Format
Planinic, Maja, William J. Boone, Ana Susac, and Lana Ivanjek. "Rasch analysis in physics education research: Why measurement matters." Phys. Rev. Phys. Educ. Res. 15.2 (2019): 020111. 28 Feb. 2024 <https://doi.org/10.1103/PhysRevPhysEducRes.15.020111>.
BibTeX Export Format
@article{ Author = "Maja Planinic and William J. Boone and Ana Susac and Lana Ivanjek", Title = {Rasch analysis in physics education research: Why measurement matters}, Journal = {Phys. Rev. Phys. Educ. Res.}, Volume = {15}, Number = {2}, Pages = {020111}, Month = {July}, Year = {2019} }
Refer Export Format

%A Maja Planinic %A William J. Boone %A Ana Susac %A Lana Ivanjek %T Rasch analysis in physics education research: Why measurement matters %J Phys. Rev. Phys. Educ. Res. %V 15 %N 2 %D July 3, 2019 %P 020111 %U https://doi.org/10.1103/PhysRevPhysEducRes.15.020111 %O application/pdf

EndNote Export Format

%0 Journal Article %A Planinic, Maja %A Boone, William J. %A Susac, Ana %A Ivanjek, Lana %D July 3, 2019 %T Rasch analysis in physics education research: Why measurement matters %J Phys. Rev. Phys. Educ. Res. %V 15 %N 2 %P 020111 %8 July 3, 2019 %U https://doi.org/10.1103/PhysRevPhysEducRes.15.020111


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

The AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles.

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Rasch analysis in physics education research: Why measurement matters:

Is Part Of Focused Collection of Physical Review PER: Quantitative Methods in PER: A Critical Examination

A link to the full collection in which this article appears: Quantitative Methods in PER: A Critical Examination

relation by Caroline Hall

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