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Motor Competence Assessment (MCA) Scoring Method
The Motor Competence Assessment (MCA) is a quantitative test battery that assesses motor competence across the whole lifespan. It is composed of three sub-scales: locomotor, stability, and manipulative, each of them assessed by two different objectively measured tests. The MCA construct validity for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688848/ https://www.ncbi.nlm.nih.gov/pubmed/36421218 http://dx.doi.org/10.3390/children9111769 |
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author | Rodrigues, Luis Paulo Luz, Carlos Cordovil, Rita Pombo, André Lopes, Vitor P. |
author_facet | Rodrigues, Luis Paulo Luz, Carlos Cordovil, Rita Pombo, André Lopes, Vitor P. |
author_sort | Rodrigues, Luis Paulo |
collection | PubMed |
description | The Motor Competence Assessment (MCA) is a quantitative test battery that assesses motor competence across the whole lifespan. It is composed of three sub-scales: locomotor, stability, and manipulative, each of them assessed by two different objectively measured tests. The MCA construct validity for children and adolescents, having normative values from 3 to 23 years of age, and the configural invariance between age groups, were recently established. The aim of this study is to expand the MCA’s development and validation by defining the best and leanest method to score and classify MCA sub-scales and total score. One thousand participants from 3 to 22 years of age, randomly selected from the Portuguese database on MC, participated in the study. Three different procedures to calculate the sub-scales and total MCA values were tested according to alternative models. Results were compared to the reference method, and Intraclass Correlation Coefficient, Cronbach’s Alpha, and Bland–Altman statistics were used to describe agreement between the three methods. The analysis showed no substantial differences between the three methods. Reliability values were perfect (0.999 to 1.000) for all models, implying that all the methods were able to classify everyone in the same way. We recommend implementing the most economic and efficient algorithm, i.e., the configural model algorithm, averaging the percentile scores of the two tests to assess each MCA sub-scale and total scores. |
format | Online Article Text |
id | pubmed-9688848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96888482022-11-25 Motor Competence Assessment (MCA) Scoring Method Rodrigues, Luis Paulo Luz, Carlos Cordovil, Rita Pombo, André Lopes, Vitor P. Children (Basel) Article The Motor Competence Assessment (MCA) is a quantitative test battery that assesses motor competence across the whole lifespan. It is composed of three sub-scales: locomotor, stability, and manipulative, each of them assessed by two different objectively measured tests. The MCA construct validity for children and adolescents, having normative values from 3 to 23 years of age, and the configural invariance between age groups, were recently established. The aim of this study is to expand the MCA’s development and validation by defining the best and leanest method to score and classify MCA sub-scales and total score. One thousand participants from 3 to 22 years of age, randomly selected from the Portuguese database on MC, participated in the study. Three different procedures to calculate the sub-scales and total MCA values were tested according to alternative models. Results were compared to the reference method, and Intraclass Correlation Coefficient, Cronbach’s Alpha, and Bland–Altman statistics were used to describe agreement between the three methods. The analysis showed no substantial differences between the three methods. Reliability values were perfect (0.999 to 1.000) for all models, implying that all the methods were able to classify everyone in the same way. We recommend implementing the most economic and efficient algorithm, i.e., the configural model algorithm, averaging the percentile scores of the two tests to assess each MCA sub-scale and total scores. MDPI 2022-11-17 /pmc/articles/PMC9688848/ /pubmed/36421218 http://dx.doi.org/10.3390/children9111769 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 Rodrigues, Luis Paulo Luz, Carlos Cordovil, Rita Pombo, André Lopes, Vitor P. Motor Competence Assessment (MCA) Scoring Method |
title | Motor Competence Assessment (MCA) Scoring Method |
title_full | Motor Competence Assessment (MCA) Scoring Method |
title_fullStr | Motor Competence Assessment (MCA) Scoring Method |
title_full_unstemmed | Motor Competence Assessment (MCA) Scoring Method |
title_short | Motor Competence Assessment (MCA) Scoring Method |
title_sort | motor competence assessment (mca) scoring method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688848/ https://www.ncbi.nlm.nih.gov/pubmed/36421218 http://dx.doi.org/10.3390/children9111769 |
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