Construct validation of a general movement competence assessment utilising active video gaming technology
Introduction: The assessment of children’s motor competence is an important concern as physical inactivity has been linked with poor movement quality and aspects of well-being such as low self-esteem. The General Movement Competence Assessment (GMCA) is a new instrument that was developed using acti...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2023.1094469/full |
| _version_ | 1797845009821597696 |
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| author | Jonathan Leo Ng Chris Button |
| author_facet | Jonathan Leo Ng Chris Button |
| author_sort | Jonathan Leo Ng |
| collection | DOAJ |
| description | Introduction: The assessment of children’s motor competence is an important concern as physical inactivity has been linked with poor movement quality and aspects of well-being such as low self-esteem. The General Movement Competence Assessment (GMCA) is a new instrument that was developed using active video gaming technology.Methods: Confirmatory factor analysis was conducted to examine the internal validity of the GMCA in a sample of 253 typically developing children (135 boys and 118 girls), aged 7–12 years old (9.9 ± 1.6 years). Further, a second-order confirmatory factor analysis examined how the four constructs fit onto the higher-order variable of movement competence.Results: Results revealed that the first-order four-construct model of the GMCA was a good fit (CFI 0.98; TLI 0.98; RMSEA 0.05). The second-order confirmatory factor analysis revealed that the four constructs loaded directly onto movement competence. It accounted for 95.44% of the variance which is approximately 20% more than the first-order model. The internal structure of the GMCA identified four constructs of movement competence (i.e., stability, object-control, locomotion and dexterity) based on the study sample.Discussion: Performance trends in the general movement competence assessment support empirical evidence that movement competence improves as children age. Results suggest that active video games have considerable potential to help assess general motor competency in the wider population. Future work may consider the sensitivity of motion-sensing technologies in detecting developmental changes over time. |
| first_indexed | 2024-04-09T17:31:39Z |
| format | Article |
| id | doaj.art-953004eb7b3e4cc3aeef9957c03d9dd3 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-09T17:31:39Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-953004eb7b3e4cc3aeef9957c03d9dd32023-04-18T04:50:38ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852023-04-011110.3389/fbioe.2023.10944691094469Construct validation of a general movement competence assessment utilising active video gaming technologyJonathan Leo Ng0Chris Button1Department of Health, Physical Education, and Sport, School of Education, College of Design and Social Context, RMIT University, Melbourne, VIC, AustraliaSchool of Physical Education, Sport, and Exercise Sciences, Division of Sciences, University of Otago, Dunedin, Otago, New ZealandIntroduction: The assessment of children’s motor competence is an important concern as physical inactivity has been linked with poor movement quality and aspects of well-being such as low self-esteem. The General Movement Competence Assessment (GMCA) is a new instrument that was developed using active video gaming technology.Methods: Confirmatory factor analysis was conducted to examine the internal validity of the GMCA in a sample of 253 typically developing children (135 boys and 118 girls), aged 7–12 years old (9.9 ± 1.6 years). Further, a second-order confirmatory factor analysis examined how the four constructs fit onto the higher-order variable of movement competence.Results: Results revealed that the first-order four-construct model of the GMCA was a good fit (CFI 0.98; TLI 0.98; RMSEA 0.05). The second-order confirmatory factor analysis revealed that the four constructs loaded directly onto movement competence. It accounted for 95.44% of the variance which is approximately 20% more than the first-order model. The internal structure of the GMCA identified four constructs of movement competence (i.e., stability, object-control, locomotion and dexterity) based on the study sample.Discussion: Performance trends in the general movement competence assessment support empirical evidence that movement competence improves as children age. Results suggest that active video games have considerable potential to help assess general motor competency in the wider population. Future work may consider the sensitivity of motion-sensing technologies in detecting developmental changes over time.https://www.frontiersin.org/articles/10.3389/fbioe.2023.1094469/fulldexterityecological dynamicschildrenmotion sensingmotor competence |
| spellingShingle | Jonathan Leo Ng Chris Button Construct validation of a general movement competence assessment utilising active video gaming technology Frontiers in Bioengineering and Biotechnology dexterity ecological dynamics children motion sensing motor competence |
| title | Construct validation of a general movement competence assessment utilising active video gaming technology |
| title_full | Construct validation of a general movement competence assessment utilising active video gaming technology |
| title_fullStr | Construct validation of a general movement competence assessment utilising active video gaming technology |
| title_full_unstemmed | Construct validation of a general movement competence assessment utilising active video gaming technology |
| title_short | Construct validation of a general movement competence assessment utilising active video gaming technology |
| title_sort | construct validation of a general movement competence assessment utilising active video gaming technology |
| topic | dexterity ecological dynamics children motion sensing motor competence |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2023.1094469/full |
| work_keys_str_mv | AT jonathanleong constructvalidationofageneralmovementcompetenceassessmentutilisingactivevideogamingtechnology AT chrisbutton constructvalidationofageneralmovementcompetenceassessmentutilisingactivevideogamingtechnology |