Evidence for a normal distribution of normalized gains

Recently Burkholder et al. argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They a...

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Main Author: Vincent P. Coletta
Format: Article
Language:English
Published: American Physical Society 2023-02-01
Series:Physical Review Physics Education Research
Online Access:http://doi.org/10.1103/PhysRevPhysEducRes.19.010111
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author Vincent P. Coletta
author_facet Vincent P. Coletta
author_sort Vincent P. Coletta
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description Recently Burkholder et al. argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They argued that multiple linear regression should be used instead. Burkholder et al. provided very little data in support of their belief, but instead provided a theoretical argument with certain assumptions. We shall show that these assumptions are unreasonable. We also show explicitly how normalized gains from 114 clases taught by six different instructors are indeed normally distributed and how two other even larger samples are roughly normally distributed and are not remotely like a Cauchy distribution. The continued use of normalized gains by physics instructors is therefore justified.
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spelling doaj.art-1ad6641b007743e9a333f723782bb10d2023-02-21T19:06:57ZengAmerican Physical SocietyPhysical Review Physics Education Research2469-98962023-02-0119101011110.1103/PhysRevPhysEducRes.19.010111Evidence for a normal distribution of normalized gainsVincent P. ColettaRecently Burkholder et al. argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They argued that multiple linear regression should be used instead. Burkholder et al. provided very little data in support of their belief, but instead provided a theoretical argument with certain assumptions. We shall show that these assumptions are unreasonable. We also show explicitly how normalized gains from 114 clases taught by six different instructors are indeed normally distributed and how two other even larger samples are roughly normally distributed and are not remotely like a Cauchy distribution. The continued use of normalized gains by physics instructors is therefore justified.http://doi.org/10.1103/PhysRevPhysEducRes.19.010111
spellingShingle Vincent P. Coletta
Evidence for a normal distribution of normalized gains
Physical Review Physics Education Research
title Evidence for a normal distribution of normalized gains
title_full Evidence for a normal distribution of normalized gains
title_fullStr Evidence for a normal distribution of normalized gains
title_full_unstemmed Evidence for a normal distribution of normalized gains
title_short Evidence for a normal distribution of normalized gains
title_sort evidence for a normal distribution of normalized gains
url http://doi.org/10.1103/PhysRevPhysEducRes.19.010111
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