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Scientific paper - Original scientific paper
Rasch Analysis in Physics Education Research: Why Measurement Matters
Physical Review Physics Education Research, 15 (2019), 2; 020111. https://doi.org/10.1103/PhysRevPhysEducRes.15.020111
Planinić, Maja; Boone, William J.; Sušac, Ana; Ivanjek, Lana

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Planinić, M., Boone, W. J., Sušac, A. & Ivanjek, L. (2019). Rasch Analysis in Physics Education Research: Why Measurement Matters. Physical Review Physics Education Research, 15. (2). doi: 10.1103/PhysRevPhysEducRes.15.020111

Planinić, Maja, et al. "Rasch Analysis in Physics Education Research: Why Measurement Matters." Physical Review Physics Education Research, vol. 15, no. 2, 2019. https://doi.org/10.1103/PhysRevPhysEducRes.15.020111

Planinić, Maja, William J. Boone, Ana Sušac and Lana Ivanjek. "Rasch Analysis in Physics Education Research: Why Measurement Matters." Physical Review Physics Education Research 15, no. 2 (2019). https://doi.org/10.1103/PhysRevPhysEducRes.15.020111

Planinić, M., et al. (2019) 'Rasch Analysis in Physics Education Research: Why Measurement Matters', Physical Review Physics Education Research, 15(2). doi: 10.1103/PhysRevPhysEducRes.15.020111

Planinić M, Boone WJ, Sušac A, Ivanjek L. Rasch Analysis in Physics Education Research: Why Measurement Matters. Physical Review Physics Education Research [Internet]. 2019 [cited 2024 November 23];15(2). doi: 10.1103/PhysRevPhysEducRes.15.020111

M. Planinić, W. J. Boone, A. Sušac and L. Ivanjek, "Rasch Analysis in Physics Education Research: Why Measurement Matters", Physical Review Physics Education Research, vol. 15, no. 2, 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:515503. [Accessed: 23 November 2024]

Metadata
Title (english)Rasch Analysis in Physics Education Research: Why Measurement Matters
AuthorMaja Planinić
MBZ: 184526
AuthorWilliam J. Boone
AuthorAna Sušac
MBZ: 236434
AuthorLana Ivanjek
MBZ: 287501
Author's institutionUniversity of Zagreb
Faculty of Science
(Department of Physics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract (english)
The Rasch model is a probabilistic model which describes the interaction of persons (test takers/survey respondents) with test/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 Rasch model in PER is continuously increasing. We provide an overview and examples of its use and benefits, and also outline common mistakes/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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titlePhysical Review Physics Education Research
Numberingvol. 15, no. 2, 020111
p-ISSN2469-9896
DOIhttps://doi.org/10.1103/PhysRevPhysEducRes.15.020111
URN:NBNurn:nbn:hr:217:515503
Publication2019
Document URLhttps://journals.aps.org/prper/abstract/10.1103/PhysRevPhysEducRes.15.020111
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Public notePublished by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Received 31 August 2018. Published 3 July 2019. An article within the collection: Quantitative Methods in PER: A Critical Examination.
Created on2020-08-24 13:52:54