Download 12_summary conclusions and recommendations

CHAPTER - V
SUMMARY, CONCLUSIONS AND RECOMMENDATIONS
The
purpose
the
association
800
rots,
a
long
physical
Education
of
of
high
efficiency
pradesh.This
efficiency
test
of
jump,
to
find
out
variables
(100
mts,
shot
to
battery
Entrance
helps
an
study was
independent
jump,
Common
the
to
test
Test
for
(PECET)
find
individual
put)
out
to
get
select
Physical
in
Andhra
the physical
admission
into
physical education colleges in Andhra Pradesh.
For
1060
this
BPED
(Bachelor
candidates.
candidates
per
To
who
cent
of
obtained
test
Thus,
candidates
for
data
standardise
in each
considered.
344
purpose
the
the
the
were
collected
Physical
the
Education)
data
minimum
expected to
from
only
those
standards
(30
qualify)
are
sample
is filtered down
purpose of
this study.
to
Data
are presented in the Appendices.
The
candidates
unitless
scores
have
been
attained
by
converted
the
into
individual
standard
scores with a mean value of 50 and standard
69
deviation
of
educational
10.
The
statistics
techniques
methods
"Multiple
analysis.
These results are compared with perturbed
by
calculating
for
linear
procedure"
results
applied
to
Regression
Analysis
were
and
applicable
statistical
perturbed
Multiple
linear regression model.
Multiple
applied
Physical
jump,
by
on
five
fitness
high
dropping
Linear
jump
a
regression
essential
scores
and
in
shot
variable
test
100
variables,
mts,
put.
each
procedure
time,
namely:
800 mts,
Analysis
like
in
was
was
long
done
the case
of forward selection in regression analysis.
To
find
out
the
association
of
each
variable with that of criterion variable and to find
out
whether the obtained association
is significant,
P - Ratio was calculated and the obtained F - value
was tested for significance at
.05 level
(5.63 Table
value).
In
on
5
this
variables
and
study
investigator
concentrated
their relationship with the test
70
battery.
long
Mainly
the
scores
and
high
jump .
jump
correlation
analysis
long
correlations
with
mts
high
jump),r
100
correlation
with
shot
This
means
high
with
other
positive
+
x2
+
x3
+
x^
+
confidence
level,
and
per cent confidential
level
19
model
this
per
long
cent
jump
increase
mts score,
21 per cent decrease
mts score,
31 per cent
jump
score,
shot
put
per
cent
18
per
score.
per
y=
all
the
at
. 05
accepted
2655413.25
x^
at
( >
5
5.63
cent
fluctuation
cent
of
in
the Battery test
weightage
of
100
in weightage of
800
increase
has
in
In
in
increase in weightage of high
This
and negative way.
87
is
significant
F =
jump).
association
model
is
positive
•
Dropping of
results
(excluding
long
The
model
the
positive
one
little
are
variable^
put
has
between
2
a
In
x5.
coefficients
has
(excluding
only
in
five
shot
jump
effects,.
variable
table value)
and
put
has
jump
In
jump
high
whereas
interpreted
resulted
weightage
in
in
both
weightage
total
in
this Model R 2 = 0.866
the
total
sample
of
of
89
positive
(almost
independent
71
variability),
combined
are
=
dependency
drawn
with
rather than
jump
R
and
the
0.864
help of
In
the
4
5 variables i.e.
shot
put.
the
The
per
100 mt. /
Model
is
( >
other
model
by
test
showing
cent
These
independent
545.9
battery
86
variability).
significance level F =
from
(almost
of
results
variables
800 mtS/
accepted
high
at
0.05
5.63 table value).
dropping
14
per
high
cent
jump
decrease
in weightage to 100 mts scores/
7 per cent decrease
in weightage to 800 mts scores/
34 per cent increase
in
weightage
to
long
jump
increase
in
weightage
to
shot
resulted
in
the
of
65
total
in
weightages
both
It
reduced
per
mts
and
put
by 44
0.852
21
increased
per
(
cent
of
489.25 ( >
per
are
and
100
way.
mts/
800
of
this
study
of
total
sample
(almost
85 per
0.851
variability).
5.63 Table value).
fluctuation
jump and
cent
significant
This
negative
of
cent
long
R~2 =
dependency
per
of
Result
variability)
total
coefficients
85
cent
importance
importance
10
score.
put
per
positive
cent
cent.
almost
independent
in
and
scores
at
.05
shot
is R2
All
level.
=
the
F
=
72
Influence
the
Battery
test
Mathematical
Regression
involved
scores
are
in
the
regression procedure
is
10.
direction
But
the
each
the
the
previous
with
Linear
Human
measurement.
The
way
and
by
adding
are
scores
presented
These scores are
i.e.
Multi
linear
Mean is 50 and S.D.
the results have not
from
in
the
tables
model
fwhere
of
individual
4.5 and 4.6.).
first
Jump
"Multi
view
either
in
High
calculated
in
(Interpretation
with
and
applying
taking
fractions
Tables4.4,
correlated
by
in
Jump
also
keeping
perturbed
calculation,
the
are
Method"
excluding
Long
procedure
errors
in
of
shown sign ! f i cant
model
(i.e.
unperturbed
scores).
CONCLUSIONS
Within
the
limitations
identified
and
on
the basis of the results of the study the following
conclusions are drawn.
1. All
the
test
efficiency
items
test
are
reflated
to
significant
physical
at
.05
73
level
i.e.
100 mrs/
Long jump,
800 mtS/
High Jump and Shot put.
100 mtS/
out
Run
speed
test
is
essential
component,
Endurance/
Shot
put
Shoulder
strength/
and
Jump both are
High
find
to
800
mts
for
for
Arm
and
Long
Jump
whereas
related to find
out the leg strength.
3. Dropping
jump
of
is
either
long
jump
resulting
in
fairly
results
of
a
concluding
calculating
scores
ro
high
suitable
candidate
for
in
physical
efficiency test.
4. Physical
either
efficiency
way
by
test
can
dropping
be
long
done
jump
or
high jump.
5. Conduct
time
time,
injury
High
consuming
chances
long
of
to
jump
less
the
test
jump
and
has
labourious,
high
candidates/
and
injury
where
relatively tak,es
physical
chance
is
as
less
exhaustion lesser
almost
contribution to the test score
equal
74
6. Dropping
of
long
not
affecting
for
physical
relation
to
Entrance
Test.
7. Test
can
variables
jump
the
or
High
Physical
100
rats,
put
shot
by
is
scores
test
Education
conducted
be
jump
elegibility
efficiency
i .e.
and
jump
in
Common
with
four
mts,
long
dropping
High
800
jump.
RECOMMENDATIONS
Based
on
the
conclusions
of
the study the
following recommendations have been made.
1. For
standardized
test
in
Entrance
battery
Physical
Test
test
Physical
Education
(PECET)
is
efficiency
four
Common
variable
suitable rather
than
five variable test.
2. The
Test
standardized
Physical
efficiency
is:
a) 100 mts Run to find out speed;
75
b)
800
mts
c)
Long
Run
jump
to
to
find
out
findout
Endurance;
Leg
Strength.
d) Shot put to findout Arm & Shoulder
Strength.
3. Same study may be conducted for further
simplifying the Test Battery.
4. Same
study
finalise
may
be
Battery
recommended
test
for
to
various
effeciency tests.
5. Study
gives
test
to
6. Study
an
idea
findout
guides
to
to
formulate
related
exact
components.
formulate
standards
and norms for test battery.
7. Study
interprets
according
to
the
the
changes
standards
resulting
in
human efficiency level.
8. Same
study
may
be
conducted
on
other
physical fitness Battery Test.
9. Same
study
formulate
may
be
standards
recommended
for
to
subjective
rating.
10.
A
standardised
pattern
may
out to fix the correct norms.
be
worked