Document Type

Article

Version

Published Open Access

Publication Date

9-19-2016

Publication Title

Physical Review Physics Education Research

DOI

http://dx.doi.org/10.1103/PhysRevPhysEducRes.12.023102

Abstract

Model analysis provides a mechanism for representing student learning as measured by standard multiple-choice surveys. The model plot contains information regarding both how likely students in a particular class are to choose the correct answer and how likely they are to choose an answer consistent with a well-documented conceptual model. Unfortunately, Bao’s original presentation of the model plot did not include a way to represent uncertainty in these measurements. I present details of a method to add error bars to model plots by expanding the work of Sommer and Lindell. I also provide a template for generating model plots with error bars.

Comments

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Citation: Phys. Rev. Phys. Educ. Res.,12, 023102 (2016)

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

Published Citation

Smith, T. (2016). Representing uncertainty on model analysis plots. Physical Review Physics Education Research, 12(2), 023102.

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Physics Commons

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