A Correlation Study between Playing
Ability and Selected Anthropometrical Variables among College level Volleyball
Players
Upendra
Singh1*, Dr. Divesh Chaudhary2
1 Research
Scholar, Department of Physical Education, IIMT University, Meerut (U.P.),
India
upendra.tom@gmail.com
2
Professor, Department of Physical Education, IIMT University, Meerut (U.P.),
India
Abstract: The objective of the study was to correlation
between playing ability and anthropometrical variables among college level
volleyball players. Method:- The subjects of the study were 120 intercollegiate
volleyball players were selected from different University (Choudhary Charan Singh University, Meerut and Maa
Shakumbhari University, Saharanpur) in the state of Uttar Pradesh. The age
level of subjects ranged from 18 to 25 years. Before the administration of
tests the scholar personally met the team managers of concerned teams and took
permission to collect data from their respective teams. After taking permission
the scholar visited all the team member and elaborated each test items for anthropometrical
variables (thigh girth, calf girth, arm girth relaxed, arm girth flexed & weight). All the subjects were tested after their matches.
Three fully qualified experts assessed the players’ playing ability during the
matches they played. Statistical Techniques:- To find out significant different
correlation between playing ability and anthropometrical variables among
college level volleyball players, Product moment correlation was computed.
Level of significance was set at 0.05 to check for significance. Results and
Discussion:- The results revealed that there were significant (p>.05)
differences in correlation between playing ability and thigh girth,
calf girth, arm girth relaxed, arm girth flexed & weight among college level volleyball players.
Keywords: Thigh
Girth, Calf Girth, Arm Girth Relaxed, Arm Girth Flexed, Weight, Playing Ability
and Players
INTRODUCTION
Volleyball is a popular sport that has a rich and
fascinating history, spanning over a century of development and evolution. The
sport's roots can be traced back to various games played with a ball and a net,
which eventually culminated in the creation of modern volleyball. Let's dive
into the lengthy history of volleyball, highlighting its key milestones,
influential figures, and how it has grown into the global sport we know today. [1]
In India game of Volleyball was introduced more than
70 years back by some Physical Education teachers who went abroad, where
training of Volleyball and different games was given. Volleyball was first
taken seriously in India by YMCA, College of Physical Education, Madras (T.N.).
They trained their students in volleyball and took it to every corner of the
country. Volleyball Federation of India was formed in 1951, through which
volleyball was promoted and developed throughout the country. Indian Olympic
Association (IOA) used to control it before the formation of Volleyball
Federation of India (VFI). [2]
Anthropometry is used to measure non-invasive
quantitative body mass. Anthropometry is used to know and evaluate the actual
nutritional status in humans. In pediatrics, this science is also required to
evaluate the general health status of children, nutritional adequacy and growth
and development of children. Measuring growth and normal growth in children are
some of the important parameters, with the help of which the doctor assesses
the health and well-being of the child and is also needed to reduce the risk of
disease in adults. Anthropometry is used to know the body composition of any
adult, so that the current condition of any adult can be detected and treated.[3]
The correlation between playing ability and
anthropometric variables (physical measurements such as height, weight,
wingspan, etc.) can vary depending on the sport or activity in question.
Anthropometric variables can play a role in determining an individual's
potential for success in certain sports, but they are not the sole determinants
of playing ability.[4]
In some sports, such as basketball and volleyball,
height can be a significant factor in determining a player's ability to perform
certain skills like blocking shots or spiking the ball. Taller individuals may
have an advantage in these sports due to their increased reach and ability to
cover more ground. However, there are always exceptions, and skill, technique,
and athleticism also play vital roles in determining success.
On the other hand, in sports like soccer or
basketball, players with shorter stature and lower body weight may have an
advantage in terms of agility and speed, allowing them to maneuver more quickly
on the field or court.[5]
METHODOLOGY
The subjects of the study were 120 intercollegiate volleyball players were
selected from different University
(Choudhary Charan Singh University, Meerut and Maa Shakumbhari University,
Saharanpur) in the state of Uttar Pradesh. The age level of subjects
ranged from 18 to 25 years. Before the administration of tests the scholar
personally met the team managers of concerned teams and took permission to
collect data from their respective teams. After taking permission the scholar
visited all the team member and elaborated each test items for anthropometrical
variables (Thigh Girth, Calf Girth, Arm Girth Relaxed, Arm Girth Flexed, Weight).
All the subjects were tested after their matches. Three fully qualified experts
assessed the players’ playing ability during the matches they played. To find
out significant different correlation between playing ability and anthropometrical
variables among college level volleyball players, Product moment correlation
was computed. Level of significance was set at 0.05 to check for significance.
RESULT OF
THE STUDY
Thigh
Girth
To find out
thigh girth of intercollegiate
volleyball players, descriptive statistics was used and the descriptive
analysis is presented in table no.-1.
Table
1: Descriptive statistics in relation to thigh girth of intercollegiate volleyball players
|
Mean |
56.70 |
|
Standard Deviation |
2.064 |
|
Range |
12 |
|
Minimum |
50 |
|
Maximum |
62 |
It is
evident from the table no.-1, which shows the mean value of thigh girth for intercollegiate volleyball players
were 56.70. This table shows the standard deviation value of thigh girth for intercollegiate volleyball players
were 2.064. This table shows the range value of thigh girth for intercollegiate volleyball players
were 12. Table also reheats that the minimum value of thigh girth for intercollegiate volleyball players
were 50. This table shows the maximum value of thigh girth for intercollegiate volleyball players
were 62.
To find out
relation between thigh girth and intercollegiate
volleyball players performance, product moment method of correlation was
used and the analysis in presented in table no.-2.
Table
2: Correlation coefficient of relationship between thigh girth and intercollegiate volleyball players performance
|
Variable |
Coefficient of correlation |
|
Thigh
Girth |
-.027* |
Significant
value = .05
It is evident from table no.-2 that, significant
relationship was found between thigh girth and intercollegiate volleyball
players performance, since the calculated coefficient of correlation (-.027)
was found lower than the correlation significant value .05.
Calf
Girth
To find out
calf girth of intercollegiate
volleyball players, descriptive statistics was used and the descriptive
analysis is presented in table no.-3.
Table
3: Descriptive statistics in relation to calf girth of intercollegiate volleyball players
|
Mean |
31.24 |
|
Standard Deviation |
2.13 |
|
Range |
8 |
|
Minimum |
27 |
|
Maximum |
35 |
It is
evident from the table no.-3, which shows the mean value of calf girth for intercollegiate volleyball players
were 31.24. This table shows the standard deviation value of calf girth for intercollegiate volleyball players
were 2.13. This table shows the range value of calf girth for intercollegiate volleyball players
were 8. Table also reheats that the minimum value of calf girth for intercollegiate volleyball players
were 27. This table shows the maximum value of calf girth for intercollegiate volleyball players
were 35.
To find out relation
between calf girth and intercollegiate
volleyball players performance, product moment method of correlation was
used and the analysis in presented in table no.-4.
Table
4: Correlation coefficient of relationship between calf girth and intercollegiate volleyball players
performance
|
Variable |
Coefficient
of correlation |
|
Calf Girth |
.136* |
Significant
value = .05
It is evident from table no.-4 that, insignificant
relationship was found between calf girth and intercollegiate volleyball
players performance, since the calculated coefficient of correlation (.136) was
found higher than the correlation significant value .05.
Arm
Girth Relaxed
To find out arm girth
relaxed
of intercollegiate volleyball players,
descriptive statistics was used and the descriptive analysis is presented in
table no.-5.
Table
5: Descriptive statistics in relation to arm girth relaxed of intercollegiate
volleyball players
|
Mean |
28.24 |
|
Standard Deviation |
1.78 |
|
Range |
7 |
|
Minimum |
25 |
|
Maximum |
32 |
It is
evident from the table no.-5, which shows the mean value of arm girth relaxed for intercollegiate
volleyball players were 28.24. This table shows the standard deviation
value of arm girth relaxed for intercollegiate volleyball players
were 1.78. This table shows the range value of arm girth relaxed for intercollegiate
volleyball players were 7. Table also reheats that the minimum value of arm girth relaxed for intercollegiate volleyball players
were 25. This table shows the maximum value of arm girth relaxed for intercollegiate
volleyball players were 32.
To find out
relation between arm girth relaxed
and intercollegiate volleyball players
performance, product moment method of correlation was used and the analysis in
presented in table no.-6.
Table
6: Correlation coefficient of relationship between arm girth relaxed and intercollegiate volleyball players
performance
|
Variable |
Coefficient of correlation |
|
Arm Girth Relaxed |
.00* |
Significant
value = .05
It is evident from table no.-6 that, significant
relationship was found between arm girth
relaxed
and
intercollegiate volleyball players performance, since the calculated
coefficient of correlation (.00) was found lower than the correlation significant
value .05.
Arm
Girth Flexed
To find out arm girth
flexed
of intercollegiate volleyball players,
descriptive statistics was used and the descriptive analysis is presented in
table no.-7.
Table
7: Descriptive statistics in relation to arm girth flexed of intercollegiate volleyball players
|
Mean |
31.01 |
|
Standard Deviation |
1.32 |
|
Range |
6 |
|
Minimum |
29 |
|
Maximum |
35 |
It is
evident from the table no.-7,
which shows the mean value of arm girth
flexed for intercollegiate
volleyball players were 31.01. This table shows the standard deviation
value of arm girth flexed for intercollegiate volleyball players
were 1.32. This table shows the range value of arm girth flexed for intercollegiate
volleyball players were 6. Table also reheats that the minimum value of arm girth flexed for intercollegiate volleyball players
were 29. This table shows the maximum value of arm girth flexed for intercollegiate
volleyball players were 35.
To find out
relation between arm girth flexed
and intercollegiate volleyball players
performance, product moment method of correlation was used and the analysis in
presented in table no.-8.
Table 8: Correlation coefficient of
relationship between arm girth flexed and intercollegiate volleyball
players performance
|
Variable |
Coefficient
of correlation |
|
Arm Girth Flexed |
-.013* |
Significant
value = .05
It is evident from table no.-8 that, significant
relationship was found between arm girth
flexed
and
intercollegiate volleyball players performance, since the calculated
coefficient of correlation (.013) was found lower than the correlation
significant value .05.
Weight
To find out weight
of intercollegiate volleyball players,
descriptive statistics was used and the descriptive analysis is presented in
table no.-9.
Table
9: Descriptive statistics in relation to weight of intercollegiate volleyball players
|
Mean |
78.17 |
|
Standard Deviation |
8.84 |
|
Range |
42 |
|
Minimum |
55 |
|
Maximum |
97 |
It is
evident from the table no.-9,
which shows the mean value of weight
for intercollegiate volleyball players
were 78.17. This table shows the standard deviation value of weight for intercollegiate volleyball players were 8.84. This table shows the
range value of weight for intercollegiate volleyball players
were 42. Table also reheats that the minimum value of weight for intercollegiate
volleyball players were 55. This table shows the maximum value of weight for intercollegiate volleyball players were 97.
To find out
relation between weight and intercollegiate volleyball players
performance, product moment method of correlation was used and the analysis in
presented in table no.-10.
Table
10: Correlation coefficient of relationship between weight and intercollegiate
volleyball players performance
|
Variable |
Coefficient
of correlation |
|
Weight |
.210* |
Significant
value = .05
It is evident from table no.-10 that, insignificant
relationship was found between weight and
intercollegiate volleyball players performance, since the calculated
coefficient of correlation (.210) was found higher than the correlation
significant value .05.
The
relationship of anthropometric variables
with intercollegiate volleyball players
performance has been illustrated in the Figure No.-1.

DISCUSSION
OF FINDINGS
This study was
conducted by the researcher to know the correlation between playing ability and
selected anthropometric variables (thigh girth, calf girth, arm girth
relaxed, arm girth flexed and weight)
among college level volleyball players. This study can be an eye opener for all
those who consider such characteristics as an important factor in sports
performance. Anthropometric variables are important for any player to perform
well in sports. This concept is essential for almost all sports. Volleyball
players also need anthropometric variables to perform well in the game. Which
has a direct impact on their sports performance?
The anthropometric
variables have a positive relationship with sports performance for volleyball
performance, proving that anthropometric variables help the player to perform
better in volleyball. The result of the study is supported by Kathiresan
K., Kumar A. Suman & Yokesh R. T. P. (2019)[6], aimed
to predict handball performance among Tamil Nadu national players based on key
anthropometric and physical ability variables, Pandey A. K. & et al (2016)[7], investigated the relationship between selected
anthropometric variables and volleyball performance among 25 male
university-level players, D. Yuvaraj
(2016)[8], conduct a study on effect of aerobic training on
selected bio- chemical and anthropometrical variables of college men, Kaur Loveleen and Dr. Singh Amandeep (2016)[9]
on topic relationship of motor fitness parameters with performance among 100m
female sprinters, Letona I B. & et al. (2015)[10] aimed to identifying talented young soccer players:
Conditional, anthropometrical and physiological characteristics as predictors
of performance, Tabrizi H. B. & et al. (2013)[11] conduct study comparing the Static and
Dynamic Balances and Their Relationship with the Anthropometrical
Characteristics in the Athletes of Selected Sports” and Devaraju K. &
Kalidasan R. (2012)[12] aimed to “Prediction of
Kabaddi Playing Ability from Selected Anthropometrical and Physical Variables
among College Level Players.
4.
Kiran kumar N
S., et al. (2023), “Prediction of Soccer Playing Ability from Selected
Fundamental Skill Performances and Anthropometric Measurements of Soccer
Players”, Journal of Propulsion Technology, Vol. 44 No. 4, pp.3582-3591.
5.
Kumar Deepak
(2022), “Relationship between motor ability and anthropometric components of
Kho-Kho and Kabaddi players”, International Journal of Physiology,
Nutrition and Physical Education, Vol. 7 No. 2, pp. 200-203.
6.
Kathiresan K.,
Kumar A. Suman & Yokesh R. T. P. (2019), “Prediction of Handball Playing
Ability from Anthropometrical and Physical Ability Variables Among Tamil Nadu
Nationals Players”, International Journal of Advanced
Science and Technology, Vol. 28 No. 19, pp. 1222- 1227.
7.
Pandey A. K., Dr. Meena T. R., I. Kerketta
& B. Sunita (2016), “Relationship
between Selected Anthropometric Measurement and Volleyball Players
Performance”, International Journal of Physical Education, Sports and
Health 2016; Vol. 3 No. 5, pp. 217-219.
8.
D. Yuvaraj (2016), “Effect of aerobic
training on selected bio- chemical and anthropometrical variables of college
men”, International Journal of Physical Education, Sports and Health, Vol. 3
No. 5, pp. 206-207.
9.
Kaur Loveleen and Dr. Singh Amandeep
(2016), “Relationship of motor fitness parameters with performance among 100m
female sprinters”, International Journal of Physical Education, Sports and
Health, Vol. 3 No. 6, pp. 452-454.
10.
Letona I B.
& et al. (2015), “Identifying talented young soccer players: Conditional,
anthropometrical and physiological characteristics as predictors of
performance”, Revista Internacional de Ciencias del Deporte, Vol XI No. 39, pp.
79-95.
11.
Tabrizi H. B. & et al. (2013), “Comparing the
Static and Dynamic Balances and Their Relationship with the Anthropometrical
Characteristics in the Athletes of Selected Sports”, Middle East Journal of
Scientific Research, Vol. 15 No. 2.
12.
Devaraju K.
& Kalidasan R. (2012), “Prediction of Kabaddi Playing Ability from Selected
Anthropometrical and Physical Variables among College Level Players”, Asian
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