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Two-Way ANOVA01:17

Two-Way ANOVA

The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...

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Structural validity of the Movement ABC-2 test: factor structure comparisons across three age groups.

Joerg Schulz1, Sheila E Henderson, David A Sugden

  • 1Department of Psychology, University of Hertfordshire, UK. j.schulz@herts.ac.uk

Research in Developmental Disabilities
|February 19, 2011
PubMed
Summary

The Movement Assessment Battery for Children-2 (M-ABC-2) shows evolving factor structures across age bands, supporting its validity for diagnosing Developmental Coordination Disorder (DCD). Motor abilities differentiate with age.

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Area of Science:

  • Child Psychology
  • Motor Development
  • Psychometrics

Background:

  • The Movement Assessment Battery for Children-2 (M-ABC-2) is a key tool for identifying Developmental Coordination Disorder (DCD).
  • The M-ABC-2 features revised tasks and an extended age range compared to its predecessor.
  • While the M-ABC-2 provides sub-scales, their validity has not been previously established.

Purpose of the Study:

  • To investigate the factor structure of the M-ABC-2 across three distinct age bands: 3-6 years (AB1), 7-10 years (AB2), and 11-16 years (AB3).

Main Methods:

  • Confirmatory factor analyses (CFA) and structural equation modeling were applied to data from the M-ABC-2 standardization sample (N=1172).
  • A model trimming approach was utilized to refine the factor structure within each age band.
  • LISREL 8.8 software was employed for the statistical analyses.

Main Results:

  • In AB1 (3-6 years), a complex structure with a general factor and specific factors for test components was observed.
  • In AB2 (7-10 years), a four-factor model emerged, distinguishing between static and dynamic balance, with a second-order general factor.
  • In AB3 (11-16 years), CFA supported the intended three-factor structure with moderate correlations.

Conclusions:

  • Confirmatory factor analyses validate the structural integrity of the M-ABC-2 across its developmental age bands.
  • The study demonstrates a shift in factor structure with age, indicating increasing differentiation of motor abilities.
  • Findings support the M-ABC-2's utility in assessing motor performance and aiding DCD diagnosis.