Ability in the Standing Broad Jump of Elementary School Children 7, 9, and 11 Years of Age

Kane, Robert J.; Meredith, Howard V.

doi:10.1080/10671188.1952.10761974

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 20-m shuttle run test was preferred in numerous experimental studies and other major field-based test batteries, such as EUROFIT (Council of Europe Committee for the Development of Sport [CECDS], 1988) and ASSO-fitness (Bianco et al, 2015;Tabacchi, 2011) because it has been considered as a valid test for estimating cardiorespiratory fitness (Colombo-Dougovito, 2013;Leger, Mercier, Gadoury, & Lambert, 1988;Mayorga-Vega, Aguilar-Soto, & Viciana, 2015). The handgrip strength and the standing broad jump tests are reliable assessments of musculoskeletal fitness and have been used in scientific studies for more than 50 years (Barfield, Channell, Pugh, Tuck, & Pendel, 2012;Everett & Sills, 1952;Kane & Meredith, 1952;Newman et al, 1984;Wind, Takken, Helders, & Engelbert, 2010). The 4 × 10-m shuttle run test, which demonstrates speed and agility, is a proven positive indicator of bone mass in young people, and many investigations prefer it as a simple and useful field-based fitness test (Ortega et al, 2011;Ortega, Ruiz, Castillo, & Sjöström, 2008).…”

Section: Introductionmentioning

confidence: 99%

An easy-to-apply series of field test for physical education teachers in an educational setting: ALPHA test battery

Ulupınar

Özbay

2020

JPR

View full text Add to dashboard Cite

Valid and reliable measurement methods are the basic requirements that enable the measurement and evaluation process to reach education's basic goals. Usually, using laboratory-based tools and methods for measuring the physical fitness of students is not possible within school settings. Therefore, field-based tests provide crucial solutions to physical education teachers to measure both the physical fitness of school-aged students and the athletic competence of a school's athletes. This study aims to identify the differences in physical-fitness levels between student athletes and non-athletes and determine the effectiveness of the Assessing Levels of Physical Activity (ALPHA) test battery in discrimination between these groups. Sixty-eight healthy male students (34 athletes and 34 non-athletes) participated in this study. As a major indicator of physical fitness in student athletes and non-athletes, the body mass index for assigned study groups was controlled. After a familiarization training, participants completed three test sessions in 48-hour intervals. The 20-m progressive shuttle run test for cardiorespiratory fitness, handgrip strength test and standing broad jump test for musculoskeletal fitness, and the 4 × 10-m shuttle run test for motor fitness were used to measure the fitness levels of the groups. A t-test was used to determine the differences between athletes and non-athletes, and effect sizes were calculated to assess practical importance. Additionally, a discriminant function analysis was used to determine whether the ALPHA test battery could differentiate between athletes and non-athletes. The findings indicated that student athletes presented with significantly greater levels of fitness than non-athletes. Additionally, when the effect of body mass index was eliminated, student athletes and non-athletes were classified correctly at a rate of 70.6% using these tests. Therefore, this study shows that physical education teachers can use the ALPHA test battery to monitor athletic performance and identify talented students.

show abstract

Section: Introductionmentioning

confidence: 99%

An easy-to-apply series of field test for physical education teachers in an educational setting: ALPHA test battery

Ulupınar

Özbay

2020

JPR

View full text Add to dashboard Cite

show abstract

Gender differences across age in motor performance: A meta-analysis.

Thomas¹,

French²

1985

Psychological Bulletin

510

331

View full text Add to dashboard Cite

A meta-analysis was conducted to examine gender differences in motor performance during childhood and adolescence. Data were 64 studies yielding 702 effect sizes based on 31,444 subjects. Age was regressed on effect size, and the relation was significant for 12 of 20 tasks. Several types of age-related curves were found; the curve for a throwing task was the most distinctive. Five of the tasks followed a typical curve of gender differences across age. For eight tasks, gender differences were not related to age, and effect sizes were small. Results are discussed relating the development of gender differences to biological and environmental sources.

show abstract

Stability of Physical Performance Test Scores

Baumgartner

1969

Research Quarterly. American Association for Health, Physical E

View full text Add to dashboard Cite

Ability in the Standing Broad Jump of Elementary School Children 7, 9, and 11 Years of Age

Cited by 3 publications

References 9 publications

An easy-to-apply series of field test for physical education teachers in an educational setting: ALPHA test battery

An easy-to-apply series of field test for physical education teachers in an educational setting: ALPHA test battery

Gender differences across age in motor performance: A meta-analysis.

Stability of Physical Performance Test Scores

Contact Info

Product

Resources

About