Exploratory factor analysis of a Force Concept Inventory data set
We perform a factor analysis on a “Force Concept Inventory” (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will h...
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American Physical Society
2012
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oai:doaj.org-article:de124eafa60a4a6491f8678397633d622021-12-02T11:51:46ZExploratory factor analysis of a Force Concept Inventory data set10.1103/PhysRevSTPER.8.0201051554-9178https://doaj.org/article/de124eafa60a4a6491f8678397633d622012-07-01T00:00:00Zhttp://doi.org/10.1103/PhysRevSTPER.8.020105http://doi.org/10.1103/PhysRevSTPER.8.020105https://doaj.org/toc/1554-9178We perform a factor analysis on a “Force Concept Inventory” (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton’s third law with Newton’s first law in one of the FCI questions and suggest an approach to teaching that may avoid this issue. We also note the absence of a distinct factor interpretable as relating specifically to kinematics. Furthermore, we identify and discuss some of the technical difficulties which may be encountered when performing factor analysis on categorical data sets, such as is the case with FCI data sets.Terry F. ScottDaniel SchumayerAndrew R. GrayAmerican Physical SocietyarticleSpecial aspects of educationLC8-6691PhysicsQC1-999ENPhysical Review Special Topics. Physics Education Research, Vol 8, Iss 2, p 020105 (2012) |
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Special aspects of education LC8-6691 Physics QC1-999 |
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Special aspects of education LC8-6691 Physics QC1-999 Terry F. Scott Daniel Schumayer Andrew R. Gray Exploratory factor analysis of a Force Concept Inventory data set |
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We perform a factor analysis on a “Force Concept Inventory” (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton’s third law with Newton’s first law in one of the FCI questions and suggest an approach to teaching that may avoid this issue. We also note the absence of a distinct factor interpretable as relating specifically to kinematics. Furthermore, we identify and discuss some of the technical difficulties which may be encountered when performing factor analysis on categorical data sets, such as is the case with FCI data sets. |
format |
article |
author |
Terry F. Scott Daniel Schumayer Andrew R. Gray |
author_facet |
Terry F. Scott Daniel Schumayer Andrew R. Gray |
author_sort |
Terry F. Scott |
title |
Exploratory factor analysis of a Force Concept Inventory data set |
title_short |
Exploratory factor analysis of a Force Concept Inventory data set |
title_full |
Exploratory factor analysis of a Force Concept Inventory data set |
title_fullStr |
Exploratory factor analysis of a Force Concept Inventory data set |
title_full_unstemmed |
Exploratory factor analysis of a Force Concept Inventory data set |
title_sort |
exploratory factor analysis of a force concept inventory data set |
publisher |
American Physical Society |
publishDate |
2012 |
url |
https://doaj.org/article/de124eafa60a4a6491f8678397633d62 |
work_keys_str_mv |
AT terryfscott exploratoryfactoranalysisofaforceconceptinventorydataset AT danielschumayer exploratoryfactoranalysisofaforceconceptinventorydataset AT andrewrgray exploratoryfactoranalysisofaforceconceptinventorydataset |
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1718395136137756672 |