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Test of Gross Motor Development-3: Item Difficulty and Item Differential Functioning by Gender and Age with Rasch Analysis

Author

Listed:
  • Nadia Cristina Valentini

    (Department of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil)

  • Marcelo Gonçalves Duarte

    (Department of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil
    Department of Physical Education, Universidade Federal do Mato Grosso do Sul, Campo Grande 79070-900, Brazil)

  • Larissa Wagner Zanella

    (Department of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil
    Department of Sports and Leisure, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande Do Sul, Sertão 99170-000, Brazil)

  • Glauber Carvalho Nobre

    (Department of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil
    Departamento de Educação Física, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza 60040-531, Brazil)

Abstract

The assessment of motor proficiency is essential across childhood to identify children’s strengths and difficulties and to provide adequate instruction and opportunities; assessment is a powerful tool to promote children’s development. This study aimed to investigate the hierarchal order of the Test of Gross Motor Development-Third Edition (TGMD-3) items regarding difficulty levels and the differential item functioning across gender and age group (3 to 5, 6 to 8, and 9 to 10 years old). Participants are 989 children (3 to 10.9 years; girls n = 491) who were assessed using TGMD-3. For locomotor skills, appropriate results reliability ( alpha = 1.0), infit ( M = 0.99; SD = 0.17), outfit ( M = 1.18; SD = 0.64), and point-biserial correlations ( rpb values from 0.14 to 0.58) were found; the trend was similar for ball skills: reliability ( alpha = 1.0), infit ( M = 0.99; SD = 0.13), outfit ( M = 1.08; SD = 0.52); point-biserial correlations ( rpb values from 0.06 to 0.59) were obtained. Two motor criteria: gallop, item-1, and one-hand forehand strike, item-4, were the most difficult items; in contrast, run, item-2, and two-hand catch, item-2, were the easiest items. Differential item functioning for age was observed in nine locomotor and ten ball skills items. These items were easier for older children compared to younger ones. The TGMD-3 has items with different difficulty levels capable of differential functioning across age groups.

Suggested Citation

  • Nadia Cristina Valentini & Marcelo Gonçalves Duarte & Larissa Wagner Zanella & Glauber Carvalho Nobre, 2022. "Test of Gross Motor Development-3: Item Difficulty and Item Differential Functioning by Gender and Age with Rasch Analysis," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8667-:d:864269
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    References listed on IDEAS

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    1. Fotini Venetsanou & Antonis Kambas, 2016. "Motor Proficiency in Young Children," SAGE Open, , vol. 6(1), pages 21582440156, January.
    2. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    3. Adriana Berleze & Nadia Cristina Valentini, 2022. "Intervention for Children with Obesity and Overweight and Motor Delays from Low-Income Families: Fostering Engagement, Motor Development, Self-Perceptions, and Playtime," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    4. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
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