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Journal of Human Growth and Development

versão impressa ISSN 0104-1282versão On-line ISSN 2175-3598

Resumo

NAZARIO, Patrik Felipe et al. Psychometric properties of the Movement Assessment Battery for Children (MABC-2): an analysis based on the Item Response Theory. J. Hum. Growth Dev. [online]. 2022, vol.32, n.1, pp.136-144. ISSN 0104-1282.  https://doi.org/10.36311/jhgd.v32.11041.

INTRODUCTION: the American Psychiatric Association reveals that 6% of school-age children have developmental coordination disorder. OBJECTIVE: this study aimed at assessing the suitability of the tasks proposed by the MABC-2 motor assessment instrument based on the psychometric properties of such an instrument and the analysis of the Item Response Theory. METHODS: 582 children ranging in age from 3 to 5 years old of both sexes participated in the study. The motor tasks suitability for children was verified by using the Gradual Response Model, and applying the Maximum Likelihood Estimation method. RESULTS: the motor task 'bicycle trail' showed a lower discriminatory power and was removed from the analysis. Considering the 'Aiming & Catching' dimension, 'Threading Beads' was the motor task with the highest degree of difficulty. Regarding balance, the 'One Leg Balance' task was classified as having a high degree of difficulty; on the other hand, the motor tasks 'Jumping on mats' and 'Catching Beanbag' required below average motor performance levels, that is, they are tasks with low discrimination capacity. The results showed that the low discriminative capacity of some MABC-2 items regarding this study sample makes it difficult to correctly classify the child's general motor performance level. CONCLUSION: the findings show that there is a need to review the suitability of the MABC-2 motor tasks in order to equate the difficulty and discriminatory capacity of the tasks so that standardization more appropriate to the reality of children from different populations is established.

Palavras-chave : psychometric properties; motor tasks; motor performance.

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