Representing uncertainty on model analysis plots

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Article number023102
JournalPhysical Review Physics Education Research
Volume12
Issue number2
DOIs
StatePublished - 2016

All Science Journal Classification (ASJC) codes

  • Education
  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Representing uncertainty on model analysis plots'. Together they form a unique fingerprint.

Cite this