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Modeling items for text comprehension assessment using confirmatory factor analysis
Reading is a complex cognitive task with the ultimate goal of comprehending the written input. For longer, connected text, readers generate a mental representation that serves as its basis. Due to limited cognitive resources, common models of discourse representation assume distinct processing level...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631941/ https://www.ncbi.nlm.nih.gov/pubmed/36337503 http://dx.doi.org/10.3389/fpsyg.2022.966347 |
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author | Tschense, Monika Wallot, Sebastian |
author_facet | Tschense, Monika Wallot, Sebastian |
author_sort | Tschense, Monika |
collection | PubMed |
description | Reading is a complex cognitive task with the ultimate goal of comprehending the written input. For longer, connected text, readers generate a mental representation that serves as its basis. Due to limited cognitive resources, common models of discourse representation assume distinct processing levels, each relying on different processing mechanisms. However, only little research addresses distinct representational levels when text comprehension is assessed, analyzed or modelled. Moreover, current studies that tried to relate process measures of reading (e.g., reading times, eye movements) to comprehension did not consider comprehension as a multi-faceted, but rather a uni-dimensional construct, usually assessed with one-shot items. Thus, the first aim of this paper is to use confirmatory factor analysis (CFA) to test whether comprehension can be modelled as a uni-or multi-dimensional concept. The second aim is to investigate how well widely used one-shot items can be used to capture comprehension. 400 participants read one of three short stories of comparable length, linguistic characteristics, and complexity. Based on the evaluation of three independent raters per story, 16 wh-questions and 60 yes/no-statements were compiled in order to retrieve information at micro and inference level, and 16 main contents were extracted to capture information at the macro level in participants’ summaries. Still, only a fraction of these items showed satisfactory psychometric properties and factor loadings – a blatant result considering the common practice for item selection. For CFA, two models were set up that address text comprehension as either a one-dimensional construct (a uni-factor model with a single comprehension factor), or a three-dimensional construct reflecting the three distinct representational levels (three correlated first-order factors). Across stories and item types, model fit was consistently better for the three-factor model providing evidence for a multi-dimensional construct of text comprehension. Our results provide concrete guidance for the preparation of comprehension measurements in studies investigating the reading process. |
format | Online Article Text |
id | pubmed-9631941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96319412022-11-04 Modeling items for text comprehension assessment using confirmatory factor analysis Tschense, Monika Wallot, Sebastian Front Psychol Psychology Reading is a complex cognitive task with the ultimate goal of comprehending the written input. For longer, connected text, readers generate a mental representation that serves as its basis. Due to limited cognitive resources, common models of discourse representation assume distinct processing levels, each relying on different processing mechanisms. However, only little research addresses distinct representational levels when text comprehension is assessed, analyzed or modelled. Moreover, current studies that tried to relate process measures of reading (e.g., reading times, eye movements) to comprehension did not consider comprehension as a multi-faceted, but rather a uni-dimensional construct, usually assessed with one-shot items. Thus, the first aim of this paper is to use confirmatory factor analysis (CFA) to test whether comprehension can be modelled as a uni-or multi-dimensional concept. The second aim is to investigate how well widely used one-shot items can be used to capture comprehension. 400 participants read one of three short stories of comparable length, linguistic characteristics, and complexity. Based on the evaluation of three independent raters per story, 16 wh-questions and 60 yes/no-statements were compiled in order to retrieve information at micro and inference level, and 16 main contents were extracted to capture information at the macro level in participants’ summaries. Still, only a fraction of these items showed satisfactory psychometric properties and factor loadings – a blatant result considering the common practice for item selection. For CFA, two models were set up that address text comprehension as either a one-dimensional construct (a uni-factor model with a single comprehension factor), or a three-dimensional construct reflecting the three distinct representational levels (three correlated first-order factors). Across stories and item types, model fit was consistently better for the three-factor model providing evidence for a multi-dimensional construct of text comprehension. Our results provide concrete guidance for the preparation of comprehension measurements in studies investigating the reading process. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9631941/ /pubmed/36337503 http://dx.doi.org/10.3389/fpsyg.2022.966347 Text en Copyright © 2022 Tschense and Wallot. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Tschense, Monika Wallot, Sebastian Modeling items for text comprehension assessment using confirmatory factor analysis |
title | Modeling items for text comprehension assessment using confirmatory factor analysis |
title_full | Modeling items for text comprehension assessment using confirmatory factor analysis |
title_fullStr | Modeling items for text comprehension assessment using confirmatory factor analysis |
title_full_unstemmed | Modeling items for text comprehension assessment using confirmatory factor analysis |
title_short | Modeling items for text comprehension assessment using confirmatory factor analysis |
title_sort | modeling items for text comprehension assessment using confirmatory factor analysis |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631941/ https://www.ncbi.nlm.nih.gov/pubmed/36337503 http://dx.doi.org/10.3389/fpsyg.2022.966347 |
work_keys_str_mv | AT tschensemonika modelingitemsfortextcomprehensionassessmentusingconfirmatoryfactoranalysis AT wallotsebastian modelingitemsfortextcomprehensionassessmentusingconfirmatoryfactoranalysis |