The relationship among motor tasks for preschool children

S F Whitener1, K W James

  • 1a Division of Home Economics , Georgia Southern College.

Insights

Motor task relationships in preschool children were analyzed using the Whitener Motor Performance Battery of Tests. Factor analysis identified distinct motor skill clusters for different age groups, aiding in understanding child development.

Area of Science:

  • Child Development
  • Motor Performance
  • Psychometrics

Background:

  • Understanding the underlying structure of motor skills in preschool children is crucial for developmental assessments.
  • The Whitener Motor Performance Battery of Tests is a tool used to evaluate various motor abilities in young children.

Purpose of the Study:

  • To determine the relationships among different motor tasks within the Whitener Motor Performance Battery of Tests.
  • To identify the latent factors that explain the variance in motor performance among preschool children.

Main Methods:

  • Factor analysis was employed to examine the interrelationships of motor tasks.
  • The study sample comprised 208 preschool children from white, middle, and upper socio-economic class families.
  • Data were analyzed separately for two age groups: 3- and 4-year-olds, and 5- and 6-year-olds.

Main Results:

  • For 3- and 4-year-olds, four factors were identified: Total Body Strength and Leg Power, Arm and Shoulder Power and Gross Coordination, Rhythmic Coordination, and an Unknown factor.
  • For 5- and 6-year-olds, five factors emerged: Rhythmic Coordination, Arm and Total Body Strength, Speed of Movement and Power, Gross Motor Coordination, and Dynamic Balance.
  • These factors suggest age-related differences in the organization of motor skills.

Conclusions:

  • The factor structure of motor performance differs between younger and older preschool children.
  • The findings provide insights into the developmental progression of motor skills and the utility of the Whitener Motor Performance Battery of Tests.
  • Further research is needed to clarify the nature of the 'Unknown' factor.