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Motor Competence Assessment (MCA) Scoring Method.

Luis Paulo Rodrigues1,2,3, Carlos Luz3,4,5, Rita Cordovil6,7

  • 1Instituto Politécnico de Viana do Castelo, Escola Superior Desporto e Lazer de Melgaço, 4900-347 Viana do Castelo, Portugal.

Children (Basel, Switzerland)
|November 24, 2022
PubMed
Summary
This summary is machine-generated.

The Motor Competence Assessment (MCA) offers a reliable way to measure motor skills across all ages. This study found that averaging percentile scores provides the most efficient method for scoring the MCA, ensuring accurate classification.

Keywords:
human developmentlifespanmotor developmentmotor performancemotor test

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Area of Science:

  • Motor Development
  • Psychometrics
  • Lifespan Development

Background:

  • The Motor Competence Assessment (MCA) is a validated tool for assessing motor skills throughout life.
  • Previous research established its construct validity and normative values for ages 3-23.
  • The need for an optimized scoring and classification method for the MCA was identified.

Purpose of the Study:

  • To determine the most efficient and accurate method for scoring and classifying MCA sub-scales and total scores.
  • To validate alternative scoring algorithms against a reference method.
  • To ensure reliable motor competence assessment across diverse age groups.

Main Methods:

  • One thousand participants aged 3-22 from the Portuguese Motor Development database were analyzed.
  • Three distinct algorithms for calculating MCA sub-scale and total scores were evaluated.
  • Statistical analyses included Intraclass Correlation Coefficient, Cronbach's Alpha, and Bland-Altman methods.

Main Results:

  • No significant differences were observed between the three tested scoring methods.
  • All methods demonstrated perfect reliability (0.999-1.000), indicating consistent classification.
  • The configural model algorithm, averaging percentile scores, proved to be the most economical and efficient.

Conclusions:

  • The configural model algorithm is recommended for scoring and classifying the MCA due to its efficiency and reliability.
  • This optimized method ensures consistent and accurate motor competence assessment.
  • The findings support the continued use and application of the MCA across the lifespan.