PERC 2019 Abstract Detail Page
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| Abstract Title: | Using psychometric tools as a window into students’ quantitative reasoning in introductory physics |
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| Abstract: | The Physics Inventory of Quantitative Literacy (PIQL), a reasoning inventory under development, aims to assess students' physics quantitative literacy at the introductory level. PIQL's design presents the challenge of isolating types of mathematical reasoning that are independent of each other in physics questions. In its current form, PIQL spans three principle reasoning subdomains previously identified in mathematics and physics education research: ratios and proportions, covariation, and signed (negative) quantities. An important psychometric objective is to test the orthogonality of these three reasoning subdomains. We present results from exploratory factor analysis, confirmatory factor analysis, and module analysis that inform interpretations of the underlying structure of PIQL from a student viewpoint, emphasizing ways in which these results agree and disagree with expert categorization. In addition to informing the development of existing and new PIQL assessment items, these results are also providing exciting insights into students' quantitative reasoning at the introductory level. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session II |
| Poster Number: | B52 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Trevor I. Smith Rowan University |
| Co-Author(s) and Co-Presenter(s) |
Philip Eaton, Montana State University Suzanne Brahmia, University of Washington Alexis Olsho, University of Washington Andrew Boudreaux, Western Washington University Chris DePalma, Rowan University Victor LaSasso, Rowan University Scott Straguzzi, Rowan University Christopher Whitener, Rowan University |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
