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Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects
Comparative psychology assesses cognitive abilities and capacities of non-human animals and humans. Based on performance differences and similarities in various species in cognitive tests, it is inferred how their minds work and reconstructed how cognition might have evolved. Critically, such specie...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488350/ https://www.ncbi.nlm.nih.gov/pubmed/32982822 http://dx.doi.org/10.3389/fpsyg.2020.01835 |
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author | Schubiger, Michèle N. Fichtel, Claudia Burkart, Judith M. |
author_facet | Schubiger, Michèle N. Fichtel, Claudia Burkart, Judith M. |
author_sort | Schubiger, Michèle N. |
collection | PubMed |
description | Comparative psychology assesses cognitive abilities and capacities of non-human animals and humans. Based on performance differences and similarities in various species in cognitive tests, it is inferred how their minds work and reconstructed how cognition might have evolved. Critically, such species comparisons are only valid and meaningful if the tasks truly capture individual and inter-specific variation in cognitive abilities rather than contextual variables that might affect task performance. Unlike in human test psychology, however, cognitive tasks for non-human primates (and most other animals) have been rarely evaluated regarding their measurement validity. We review recent studies that address how non-cognitive factors affect performance in a set of commonly used cognitive tasks, and if cognitive tests truly measure individual variation in cognitive abilities. We find that individual differences in emotional and motivational factors primarily affect performance via attention. Hence, it is crucial to systematically control for attention during cognitive tasks to obtain valid and reliable results. Aspects of test design, however, can also have a substantial effect on cognitive performance. We conclude that non-cognitive factors are a minor source of measurement error if acknowledged and properly controlled for. It is essential, however, to validate and eventually re-design several primate cognition tasks in order to ascertain that they capture the cognitive abilities they were designed to measure. This will provide a more solid base for future cognitive comparisons within primates but also across a wider range of non-human animal species. |
format | Online Article Text |
id | pubmed-7488350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74883502020-09-25 Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects Schubiger, Michèle N. Fichtel, Claudia Burkart, Judith M. Front Psychol Psychology Comparative psychology assesses cognitive abilities and capacities of non-human animals and humans. Based on performance differences and similarities in various species in cognitive tests, it is inferred how their minds work and reconstructed how cognition might have evolved. Critically, such species comparisons are only valid and meaningful if the tasks truly capture individual and inter-specific variation in cognitive abilities rather than contextual variables that might affect task performance. Unlike in human test psychology, however, cognitive tasks for non-human primates (and most other animals) have been rarely evaluated regarding their measurement validity. We review recent studies that address how non-cognitive factors affect performance in a set of commonly used cognitive tasks, and if cognitive tests truly measure individual variation in cognitive abilities. We find that individual differences in emotional and motivational factors primarily affect performance via attention. Hence, it is crucial to systematically control for attention during cognitive tasks to obtain valid and reliable results. Aspects of test design, however, can also have a substantial effect on cognitive performance. We conclude that non-cognitive factors are a minor source of measurement error if acknowledged and properly controlled for. It is essential, however, to validate and eventually re-design several primate cognition tasks in order to ascertain that they capture the cognitive abilities they were designed to measure. This will provide a more solid base for future cognitive comparisons within primates but also across a wider range of non-human animal species. Frontiers Media S.A. 2020-08-31 /pmc/articles/PMC7488350/ /pubmed/32982822 http://dx.doi.org/10.3389/fpsyg.2020.01835 Text en Copyright © 2020 Schubiger, Fichtel and Burkart. http://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 Schubiger, Michèle N. Fichtel, Claudia Burkart, Judith M. Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title | Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title_full | Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title_fullStr | Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title_full_unstemmed | Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title_short | Validity of Cognitive Tests for Non-human Animals: Pitfalls and Prospects |
title_sort | validity of cognitive tests for non-human animals: pitfalls and prospects |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488350/ https://www.ncbi.nlm.nih.gov/pubmed/32982822 http://dx.doi.org/10.3389/fpsyg.2020.01835 |
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