The human sciences, models and metrological mythology

Measurement concepts and vocabulary have become commonplace in the human sciences. To this end, the field of educational measurement has largely concerned itself with the development and use of a family of mathematical, “psychometric” models collectively known as latent variable models. These models...

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Main Authors: McGrane, J, Maul, A
Format: Journal article
Language:English
Published: Elsevier 2019
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author McGrane, J
Maul, A
author_facet McGrane, J
Maul, A
author_sort McGrane, J
collection OXFORD
description Measurement concepts and vocabulary have become commonplace in the human sciences. To this end, the field of educational measurement has largely concerned itself with the development and use of a family of mathematical, “psychometric” models collectively known as latent variable models. These models contain parameters that are commonly interpreted as referring to properties of individuals and test items, and estimates of these parameters are accordingly interpreted as measured values of these properties. Such interpretations are based on the erroneous assumption that the correspondence between these parameters and properties has been substantiated, whereas the educational measurement literature and discourse frequently conflates or confuses the two; different instantiations of a pervasive representational fallacy. This fallacy drives an unscientific approach to modelling where the nature of educational phenomena and their causal role in measurement is ignored. To advance beyond the mythology of “latent variables”, the human sciences need to eradicate this fallacy and establish scientific models for measurement.
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spelling oxford-uuid:f0f6dd2d-72d9-4b62-ba4e-23a49bf517ee2022-03-27T11:52:10ZThe human sciences, models and metrological mythologyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f0f6dd2d-72d9-4b62-ba4e-23a49bf517eeEnglishSymplectic Elements at OxfordElsevier2019McGrane, JMaul, AMeasurement concepts and vocabulary have become commonplace in the human sciences. To this end, the field of educational measurement has largely concerned itself with the development and use of a family of mathematical, “psychometric” models collectively known as latent variable models. These models contain parameters that are commonly interpreted as referring to properties of individuals and test items, and estimates of these parameters are accordingly interpreted as measured values of these properties. Such interpretations are based on the erroneous assumption that the correspondence between these parameters and properties has been substantiated, whereas the educational measurement literature and discourse frequently conflates or confuses the two; different instantiations of a pervasive representational fallacy. This fallacy drives an unscientific approach to modelling where the nature of educational phenomena and their causal role in measurement is ignored. To advance beyond the mythology of “latent variables”, the human sciences need to eradicate this fallacy and establish scientific models for measurement.
spellingShingle McGrane, J
Maul, A
The human sciences, models and metrological mythology
title The human sciences, models and metrological mythology
title_full The human sciences, models and metrological mythology
title_fullStr The human sciences, models and metrological mythology
title_full_unstemmed The human sciences, models and metrological mythology
title_short The human sciences, models and metrological mythology
title_sort human sciences models and metrological mythology
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