Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory

Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed...

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Autores principales: Jie Yang, James Wells, Rachel Henderson, Elaine Christman, Gay Stewart, John Stewart
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Publicado: American Physical Society 2020
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spelling oai:doaj.org-article:f2d377579ea8447487015300e1c172512021-12-02T15:21:28ZExtending modified module analysis to include correct responses: Analysis of the Force Concept Inventory10.1103/PhysRevPhysEducRes.16.0101242469-9896https://doaj.org/article/f2d377579ea8447487015300e1c172512020-04-01T00:00:00Zhttp://doi.org/10.1103/PhysRevPhysEducRes.16.010124http://doi.org/10.1103/PhysRevPhysEducRes.16.010124https://doaj.org/toc/2469-9896Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified module analysis (MMA). This method analyzed the network structure of the correlation matrix of the responses to a multiple-choice instrument. Both MAMCR and MMA could only be applied to networks of incorrect responses. In this study, an extension of MMA is explored which allows the analysis of networks involving both correct and incorrect responses. The extension analyzes the network structure of the partial correlation matrix instead of the correlation matrix. The new algorithm, called MMA-P, was applied to the FCI and recovered much of the structure identified by MMA. The algorithm also identified sets of correct answers requiring similar physical reasoning reported in previous studies. Beyond groups of all correct and all incorrect responses, some groups of responses which mixed correct and incorrect responses were also identified. Some of these mixed response groups were produced when a correct response was selected for incorrect reasons; some of the groups were related to the gender unfair items previously reported for the FCI.Jie YangJames WellsRachel HendersonElaine ChristmanGay StewartJohn StewartAmerican Physical SocietyarticleSpecial aspects of educationLC8-6691PhysicsQC1-999ENPhysical Review Physics Education Research, Vol 16, Iss 1, p 010124 (2020)
institution DOAJ
collection DOAJ
language EN
topic Special aspects of education
LC8-6691
Physics
QC1-999
spellingShingle Special aspects of education
LC8-6691
Physics
QC1-999
Jie Yang
James Wells
Rachel Henderson
Elaine Christman
Gay Stewart
John Stewart
Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
description Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified module analysis (MMA). This method analyzed the network structure of the correlation matrix of the responses to a multiple-choice instrument. Both MAMCR and MMA could only be applied to networks of incorrect responses. In this study, an extension of MMA is explored which allows the analysis of networks involving both correct and incorrect responses. The extension analyzes the network structure of the partial correlation matrix instead of the correlation matrix. The new algorithm, called MMA-P, was applied to the FCI and recovered much of the structure identified by MMA. The algorithm also identified sets of correct answers requiring similar physical reasoning reported in previous studies. Beyond groups of all correct and all incorrect responses, some groups of responses which mixed correct and incorrect responses were also identified. Some of these mixed response groups were produced when a correct response was selected for incorrect reasons; some of the groups were related to the gender unfair items previously reported for the FCI.
format article
author Jie Yang
James Wells
Rachel Henderson
Elaine Christman
Gay Stewart
John Stewart
author_facet Jie Yang
James Wells
Rachel Henderson
Elaine Christman
Gay Stewart
John Stewart
author_sort Jie Yang
title Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
title_short Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
title_full Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
title_fullStr Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
title_full_unstemmed Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
title_sort extending modified module analysis to include correct responses: analysis of the force concept inventory
publisher American Physical Society
publishDate 2020
url https://doaj.org/article/f2d377579ea8447487015300e1c17251
work_keys_str_mv AT jieyang extendingmodifiedmoduleanalysistoincludecorrectresponsesanalysisoftheforceconceptinventory
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AT rachelhenderson extendingmodifiedmoduleanalysistoincludecorrectresponsesanalysisoftheforceconceptinventory
AT elainechristman extendingmodifiedmoduleanalysistoincludecorrectresponsesanalysisoftheforceconceptinventory
AT gaystewart extendingmodifiedmoduleanalysistoincludecorrectresponsesanalysisoftheforceconceptinventory
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