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Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios

The multidimensional effect of aging on cognition and its interference with daily functioning is well reported by many studies. Therefore, the ability to detect age-related cognitive changes is of great importance for older adults to help compensate for cognitive decline. For that, metacognition and...

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Autores principales: Bampa, Grigoria, Kouroglou, Despina, Metallidou, Panagiota, Tsolaki, Magdalini, Kougioumtzis, Georgios, Papantoniou, Georgia, Sofologi, Maria, Moraitou, Despina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600082/
https://www.ncbi.nlm.nih.gov/pubmed/36292099
http://dx.doi.org/10.3390/diagnostics12102410
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author Bampa, Grigoria
Kouroglou, Despina
Metallidou, Panagiota
Tsolaki, Magdalini
Kougioumtzis, Georgios
Papantoniou, Georgia
Sofologi, Maria
Moraitou, Despina
author_facet Bampa, Grigoria
Kouroglou, Despina
Metallidou, Panagiota
Tsolaki, Magdalini
Kougioumtzis, Georgios
Papantoniou, Georgia
Sofologi, Maria
Moraitou, Despina
author_sort Bampa, Grigoria
collection PubMed
description The multidimensional effect of aging on cognition and its interference with daily functioning is well reported by many studies. Therefore, the ability to detect age-related cognitive changes is of great importance for older adults to help compensate for cognitive decline. For that, metacognition and its course of change across the lifespan of a person have attracted considerable scientific interest. The aim of the present study is to present three new self-report questionnaires, developed to measure older adults’ metacognitive knowledge for everyday memory (MKEM), metacognitive knowledge for everyday attention (MKEA), and metacognitive knowledge for everyday executive functions (MKEEFs). The questionnaires were tested for structural validity and reliability. A sample size of 171 community-dwelling adults of advancing age (97 females and 74 males) voluntarily participated in this study and their ages ranged from 50 to 82 years (mean = 59.32, SD = 7.39). Exploratory factor analysis using principal component analysis with varimax rotation was applied to examine structural validity. The results revealed a one-factor structure for the MKEM with high internal consistency (α = 0.88), a two-factor structure for the MKEA, that reflected “divided and shifted attention” (α = 0.74) and “concentration” (α = 0.75), and a two-factor structure for the MKEEFs that reflected “planning” (α = 0.70) and “inhibition” (α = 0.65). The variables created for each factor respectively showed significant positive correlations between each other.
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spelling pubmed-96000822022-10-27 Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios Bampa, Grigoria Kouroglou, Despina Metallidou, Panagiota Tsolaki, Magdalini Kougioumtzis, Georgios Papantoniou, Georgia Sofologi, Maria Moraitou, Despina Diagnostics (Basel) Article The multidimensional effect of aging on cognition and its interference with daily functioning is well reported by many studies. Therefore, the ability to detect age-related cognitive changes is of great importance for older adults to help compensate for cognitive decline. For that, metacognition and its course of change across the lifespan of a person have attracted considerable scientific interest. The aim of the present study is to present three new self-report questionnaires, developed to measure older adults’ metacognitive knowledge for everyday memory (MKEM), metacognitive knowledge for everyday attention (MKEA), and metacognitive knowledge for everyday executive functions (MKEEFs). The questionnaires were tested for structural validity and reliability. A sample size of 171 community-dwelling adults of advancing age (97 females and 74 males) voluntarily participated in this study and their ages ranged from 50 to 82 years (mean = 59.32, SD = 7.39). Exploratory factor analysis using principal component analysis with varimax rotation was applied to examine structural validity. The results revealed a one-factor structure for the MKEM with high internal consistency (α = 0.88), a two-factor structure for the MKEA, that reflected “divided and shifted attention” (α = 0.74) and “concentration” (α = 0.75), and a two-factor structure for the MKEEFs that reflected “planning” (α = 0.70) and “inhibition” (α = 0.65). The variables created for each factor respectively showed significant positive correlations between each other. MDPI 2022-10-05 /pmc/articles/PMC9600082/ /pubmed/36292099 http://dx.doi.org/10.3390/diagnostics12102410 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bampa, Grigoria
Kouroglou, Despina
Metallidou, Panagiota
Tsolaki, Magdalini
Kougioumtzis, Georgios
Papantoniou, Georgia
Sofologi, Maria
Moraitou, Despina
Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title_full Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title_fullStr Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title_full_unstemmed Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title_short Metacognitive Scales: Assessing Metacognitive Knowledge in Older Adults Using Everyday Life Scenarios
title_sort metacognitive scales: assessing metacognitive knowledge in older adults using everyday life scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600082/
https://www.ncbi.nlm.nih.gov/pubmed/36292099
http://dx.doi.org/10.3390/diagnostics12102410
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