Cite this article:
Kumar Singh, Lal, Patel, and Chaudhary (2021). Prediction of Libero’s Performance on the basis of Selected Anthropometric Characteristics. Journal of Ravishankar University (Part-A: SOCIAL-SCIENCE), 27(1), pp. 89-98.
Prediction of Libero’s Performance on the basis of
Selected Anthropometric Characteristics
Mithilesh
Kumar Singh1, Rajender Lal2, Rakesh Kumar Patel3, Rajeev Chaudhary4
1School of Studies in
Physical Education, Pt. Ravishankar Shukla University, Raipur (C.G.).
2Physical Education, Deshbandhu
College, University of Delhi
3 DIET, Shahjahanpur
(U.P.)
4
School of Studies
in Physical Education, Pt. Ravishankar Shukla University, Raipur (C.G.).
*Corresponding author: drrajender01@gmail.com

|
Abstract. The objective of
the study was to predict of Libero’s performance on the basis of selected
anthropometric characteristics. In this study, Libero’s performance was
selected as dependent variable (DV) and selected anthropometric characteristics i.e. LP (Libero’s Performance), LH (Libero’s
Height), LW (Libero’s Weight), LAL (Libero’s Arm Length), LFAL (Libero’s Fore
Arm Length, LUAL (Libero’s Upper Arm Length), LUAC (Libero’s Upper Arm
Circumference), LWC (Libero’s Waist Circumference), LHC (Libero’s Hip Circumference),
LLL (Libero’s Leg Length), LLLL (Libero’s Lower Leg Length), LTC (Libero’s
Thigh Circumference) and LCC (Libero’s Calf Circumference) were observed as
independent variables (IV). For
the purpose of the present study, the subjects were selected from
Inter-university level Volleyball Tournament. A total of 75 male Liberos were
purposively selected for the study. The age of the subjects ranged between
18-28 years. To find out relationship between Dependent Variable (Libero’s
Performance) and Independent Variables (selected Anthropometric
Characteristics), Product Moment correlation and multiple correlations were
applied. For predicting Dependent Variable (Libero’s Performance) on the basis
of Independent Variables (selected Anthropometric Characteristics), multiple
regression equation was applied. Established regression models are: (1) Libero’s
Performance = 114.163-551X Libero’s Height (2) Libero’s Performance = 137.345
-1.171 X Libero’s Height+.913 X Libero’s Leg Length (3) Libero’s Performance =
95.165 -.944 X Libero’s Height+1.296 X Libero’s Leg Length -1.024 X Libero’s
Calf Circumference. The findings suggest that
performance is associated with anthropometric characteristics with biomechanical
implications that may
be used to
provide a more
complete evaluation of
Libero’s performance.
Keywords:
Libero’s Performance,
Anthropometric Characteristics, Volleyball
Introduction
The Fédération
Internationale de Volleyball introduced a new concept of specialized
player, the ‘Libero’ in 1996 (FIVB, 2016). Libero is an inevitable product of
modern volleyball having crucial and rich role in the field of Volleyball (Marcelino
et al., 2009). The Libero player is specialist in defense, wears a uniform that
is different from rest of the team players and plays at the back row and not
allowed to complete an attack hit if at the moment of contact the ball entirely
higher than the top of the net. The player of this position is usually
responsible for receiving the service, setting the ball and passing the ball in
such a way that can be utilized by his team players to convert it into a good
attack. A Libero is supposed to have a good ability of passing, digging, ball
handling, quickness and consistency. In game situations, sometimes a Libero can
be a turning point of match winning. Numerous factors may affect the
performance of a Libero in game situations, including his anthropometric
characteristics, technical skills, mental toughness etc. (Valladares et.al., 2016;
Bergeles et.al., 2009; Mesquita et.al., 2007; João et.al.,
2006). The present paper makes an attempt to predict the performance of
Libero on the basis of selected anthropometric characteristics.
Objective
The objective of the study was to predict of Libero’s performance on the
basis of selected anthropometric characteristics.
Materials and Methods
Subjects of the Study
For the purpose of the present study, the
subjects were selected from Inter-university level Volleyball Tournament. A
total of 75 male Liberos were purposively selected for the study. The age of
the subjects were ranged from 18 - 28 Years.
Procedures
Anthropometric data included 13 traits,
chosen among those considered to be important indicators for performances of
Liberos because they have landmarks on the skeleton and minimal changes, within
the limits of instrumental error. All measurements were taken by trained experts
according to the techniques recommended by Weiner and Lourie. Using specific
equipment consisting of small and large calipers and an anthropometer. In
addition, each Liberos self-reported for all variables measurement.
Variables of the Study
In this study, libero’s performance was selected as dependent variable
(DV) and selected anthropometric characteristics i.e. LP (Libero’s Performance), LH (Libero’s
Height), LW (Libero’s Weight), LAL (Libero’s Arm Length), LFAL (Libero’s Fore
Arm Length, LUAL (Libero’s Upper Arm Length), LUAC (Libero’s Upper Arm
Circumference), LWC (Libero’s waist Circumference), LHC (Libero’s Hip
Circumference), LLL (Libero’s Leg Length), LLLL (Libero’s Lower Leg Length),
LTC (Libero’s Thigh Circumference) and LCC (Libero’s Calf Circumference) were
observed as independent variables (IV).
Statistical Analysis
To find out relationship
between Dependent Variable (Libero’s Performance) and Independent Variables
(selected Anthropometric Characteristics), product moment correlation and
multiple correlations were applied. For predicting Dependent Variable (Libero’s
Performance) on the basis of Independent Variables (selected Anthropometric
Characteristics), multiple regression equation was applied.
Result and discussion
The findings of the study
have been presented in tables 1 to 6 and illustrated vide figures 1-3.
Table - 1
Table showing Pearson Correlation Coefficient and
Significance (1-tailed) in relation to Libero’s Performance and selected
Anthropometric Characteristics
|
|
LP
|
LH
|
LW
|
LAL
|
LFAL
|
LUAL
|
LUAC
|
LWC
|
LHC
|
LLL
|
LLLL
|
LTC
|
LCC
|
Pearson
Correlation Coefficient
|
LP
|
1
|
-.481**
|
-.395**
|
-.432**
|
-.423**
|
-.282*
|
-.399**
|
-.467**
|
-.120
|
-.358**
|
-.461**
|
-.329**
|
-.479**
|
LH
|
-.481**
|
1
|
.781**
|
.954**
|
.920**
|
.510**
|
.849**
|
.851**
|
.519**
|
.924**
|
.943**
|
.836**
|
.863**
|
LW
|
-.395**
|
.781**
|
1
|
.735**
|
.674**
|
.674**
|
.653**
|
.695**
|
.453**
|
.682**
|
.718**
|
.702**
|
.654**
|
LAL
|
-.432**
|
.954**
|
.735**
|
1
|
.929**
|
.523**
|
.835**
|
.795**
|
.503**
|
.929**
|
.890**
|
.839**
|
|