Testing Basic Basketball Skills: Evaluating Validity and Reliability in the Context of Gross Motor Development

Objective: This study aims to measure the validity and reliability of the basketball ability test and the Test of Gross Motor Development (TGMD) as a tool for assessing motor and basketball abilities in early childhood. Methods: Research subjects consisted of 21 young basketball players from clubs and academies in the Jakarta Region, with x̅ age of 5.9 years old (SD ± .831) and x̅ BMI of 16.2 (SD ± 1.23). The basketball ability test includes running, jumping, changing direction, and throwing and catching the ball. TGMD is used to assess locomotor skills and object control. Results: The results of the analysis show that both tests have high validity and reliability in measuring children's basketball and motor skills. Correlations between tests indicate effectiveness in evaluating important aspects of motor skills. A significant relationship between test results and measured motor abilities supports construct validity. High reliability shows the consistency of test results over time. Conclusion: The basketball ability test and TGMD were proven to be valid and reliable for assessing motor skills and basketball in early childhood. Both tests can be used in physical education and motor skill development, providing valuable insight for coaches and educators. Further research is needed to test the applicability of this test to a broader population.

Authors

Publication Details

Journal
International journal of human movement and sports sciences
Published
2024-11-01
DOI
https://doi.org/10.13189/saj.2024.120616
Primary Topic
Children's Physical and Motor Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing Basic Basketball Skills: Evaluating Validity and Reliability in the Context of Gross Motor Development

Rahmat Iqbal, Dhika Bayu Mahardhika, Samsudin Samsudin, Firdaus Hendry Prabowo Yudho et al.
International journal of human movement and sports sciences
Children's Physical and Motor Development
article

Testing Basic Basketball Skills: Evaluating Validity and Reliability in the Context of Gross Motor Development

Rahmat Iqbal, Dhika Bayu Mahardhika, Samsudin Samsudin, Firdaus Hendry Prabowo Yudho, Nofi Marlina Siregar
article en

Abstract

Objective: This study aims to measure the validity and reliability of the basketball ability test and the Test of Gross Motor Development (TGMD) as a tool for assessing motor and basketball abilities in early childhood. Methods: Research subjects consisted of 21 young basketball players from clubs and academies in the Jakarta Region, with x̅ age of 5.9 years old (SD ± .831) and x̅ BMI of 16.2 (SD ± 1.23). The basketball ability test includes running, jumping, changing direction, and throwing and catching the ball. TGMD is used to assess locomotor skills and object control. Results: The results of the analysis show that both tests have high validity and reliability in measuring children's basketball and motor skills. Correlations between tests indicate effectiveness in evaluating important aspects of motor skills. A significant relationship between test results and measured motor abilities supports construct validity. High reliability shows the consistency of test results over time. Conclusion: The basketball ability test and TGMD were proven to be valid and reliable for assessing motor skills and basketball in early childhood. Both tests can be used in physical education and motor skill development, providing valuable insight for coaches and educators. Further research is needed to test the applicability of this test to a broader population.

International journal of human movement and sports sciencesVol. 12(6)
Universitas Negeri Jakarta
Decent work and economic growth
Openalex Percentile: Top 68%
Children's Physical and Motor Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.