A Business Research Methodology
On
“ Effect of Reality Shows on Youth”
Submitted by:
Sheetal Kurup (11035)
Leena Chellani (11015)
Nikunj Gajara (11046)
Chandan Pahelwani (11047)
Sanni Bhuva (11010)
Submitted to:
Dr. Bhavesh Vanparia
Tolani Institute of Management Studies, Adipur
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DECLARATION.
We hereby declare that the project work entitled “Effect of Reality Shows on
Youth” Submitted to Tolani Institute of Management Studies, Adipur.
Is a record of an original work done by us under the guidance of
Dr. Bhavesh Vanparia (Lecturer at TIMS), a n d t h i s p r o j e c t
w o r k i s s u b m i t t e d i n t h e p a r t i a l f u l f i l m e n t o f t h e requirements for the
award of the degree of PGDM.
The results embodied in this thesis have not been submitted to any other University or
Institute for the award of any degree or diploma.
Place: Adipur
Date: 16/4/2012
Name: Sheetal Kurup (11035)
Leena Chellani (11015)
Nikunj Gajara (11046)
Chandan Pahelwani (11047)
Sanni Bhuva (11010)
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Acknowledgment.
Wall needs support of the pillars to be strong, the pillars need the base of the plinth to
stand and the plinth needs the blessing of mother earth to exist. Its time we thank them who
acted as the walls the pillars and the plinth of our project
We have taken efforts in this project. However, it would not have been possible without
the kind support and help of many individuals and our organization. I would like to extend my
sincere thanks to all of them.
We are highly indebted to Tolani Institute of Management Studies, Adipur, for their
guidance and constant supervision as well as for providing necessary information regarding the
project & also for their support in completing the project.
We would like to express our special gratitude and thanks to
Dr. Bhavesh Vanparia for giving attention and time.
Our thanks and appreciations also go to our colleague in developing the project and
people who have willingly helped us out with their abilities.
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Table of contents
Sr No. Topic Page no.1 Declaration 2
2 Acknowledgement 3
3 Chapter 1
Introduction
Research questions
Research Objectives
5-7
8
8
4 Chapter 2 – Literature Review 9-20
5 Chapter 3 – Research
Methodology
21
6 Chapter 4 – Data Analysis 22-25
7 Chapter 5 – Findings 26-33
8 Chapter 6 – Conclusion 34-36
9 Chapter 7 – References 37
10 Chapter 8 – Appendix 38-39
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Chapter 1
Introduction.
Reality shows are the trump cards of the producers of the television Industry. Common audience have
become bored watching the never ending melodramatic daily soaps. From the urge for something new the idea
of reality shows sprang up.
Simultaneously they generate good revenues for Television Industry and create a very good platform for
thousands who want to achieve great things in their field of interests.
The popularity of the Indian reality shows lies in the fact that these are short termed yet these present the
perfect dose of entertainment. The characters that are part of the Indian reality shows are for real. As a result it
becomes easy for the audiences to relate to the participants.
The stardom associated with the reality shows is enough drawing attention of common mass. But there are other
shows also the idea of which is not praiseworthy like Swambar.
The Indian reality shows make the most of the emotional quotient of the viewers. However, not all the shows
have been equally successful. Whilst some of the Indian reality shows achieved unprecedented success, others
were rejected by the viewers despite being hosted by the celebrities. Another reason for the popularity of the
reality shows is that these are the only alternatives to the melodramatic daily soaps.
Moreover there are more believable than the episodes of the daily soaps which have somehow reached
a saturation point. The Indian reality shows have also been consistently successful in offering a wide variety.
Reality TV shows are selling like hot cakes. All you have to do is huddle up a handful of average people or
small time starlets create a dramatic situation and whoa, your reality TV show is ready to go on air! The best
part about reality TV shows is that they give quick fame and recognition even to average people like you and
me. Besides, the viewers get a kick out of all the emotional drama (which is scripted in most cases) that
happens on sets. There is really no dearth of reality TV show ideas, but most revolve around similar concepts.
So, in case you wish to air your own TV show some day, then you may have to come up with really good ideas
for TV shows. Given below are some interesting ideas for a reality TV show.
The Indian Reality Shows flourished itself in various fields such as singing, dancing, comedy, quiz, modelling,
hard core stunts and many other talents. The exciting amount of prize which has hardly been assumed by the
common people made a marked difference in the popularity of the Indian Reality shows. The presence of
popular celebrities has also contributed in raising interest of the commonmass.
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The boom in the Indian reality shows occurred right after the success story of Kaun Banega Crorepati, anchored
by Amitabh Bachchan. This show offered a maximum cash prize of Rs.1 Crore. The unprecedented success of
this reality show opened up numerous avenues for such shows on Indian television. The sponsors were ready to
invest and to top it all there were no dearth of participants. While Kaun Banega Crorepati changed the way
people looked at reality shows.
The rising popularity of the reality shows on television channels has added a new dimension to the production
of TV programs. These shows give opportunities to the prodigies residing in the interiors of the country to
showcase their talent. These shows have not only changed the destinies of many television channels but also of
many ordinary people. Celebrity reality shows are another aspect of reality television that has become
extremely popular with the audience.
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Research Questions
1. What is the perception of the viewer’s towards reality shows and daily soaps?
2. What is the behaviour of the viewer’s towards reality shows?
3. What is the future of reality shows?
Research Objectives.
The main objectives to do this research are as following:
1. To study the perception of the viewer’s towards reality shows and daily soaps.
(That is to know whether the viewers see reality shows as an opportunity.)
2. To study the behaviour of the viewer’s towards reality shows.
(That is to study how do viewers related their life with reality shows. Do they relate their characters
or their dreams with reality shows? Do they prefer voting for these reality shows or do they think
that voting is fair in reality shows.)
3. To know the future of reality shows.
(Whether it should be banned or encouraged.)
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Chapter 2
Literature Review
Sr.
No
.
Author (Year) Title of paper Country Samp
le
Size
Analysis
Tools
Findings &
Conclusion
1. Anthony Patino,
Velitchka D.
kaltcheva,
Michael F. Smith
(2011)
The Appeal of
Reality Television
For Teen and Pre-
Teen Audiences
United
States of
America
(USA)
1098 Descriptive
Analysis
In this research,
the authors
identified
psycho-
demographic
variables related
to connectedness
with reality
television
among preteens
and teens. The
results
showed that young
people who strove
for popularity and
physical
attractiveness
were more likely to
feel connected to
reality-television
programs.
2. Mohamma
d R Haq,
Syed H
Rahman.
(2011)
DEVELOPING A
MULTI-ITEM
MEASUREMENT
SCALE
FOR DEVELOPING
TEENAGERS’
INVOLVEMENT IN
REALITY TELEVISION
Bangladesh 400 Explorator
y factor
analysis
This
research has
identified
and tested
the multi-
item
measureme
nt scale for
the
construct
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developing
country
teenagers’
RTV
involvement.
RTV being a
most
vehicle in
the
electronic
media area,
such
findings may
or may not
be
representati
ve of other
TV vehicles.
3. Kimberly Lynn
Reynolds
(2010)
A QUALITATIVE AND
QUANTITATIVE
ANALYSIS OF
COUNTERNORMATIV
E BEHAVIOR
EXHIBITED IN
REALITY TELEVISION
PROGRAMMING
USA - Mixed
methodology,
which
includes a
content
analysis
identifying
both
quantitative
and
qualitative
data.
Reality
television, in
general, is
geared toward
young adults
aged 18-34.
Though the
episodes were
chosen in a
strategic
manner, more
powerful
evidence of the
misogynistic
themes may be
available by
analyzing all
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twelve episodes
in the season.
4. Anaghe Shukre
(2010)
Reality television
shows: entertaining,
money minting & or
tantalizing
India 150 Factor Analysis The audiences
have become
tired of the never
ending saga of
family dramas
and most of
them are
switching over to
the reality shows.
The popularity of
Indian reality
shows lies in the
fact that these
are short termed
yet these present
perfect dose of
entertainment.
From findings it is
clear that there
are mainly five
factors because
of which people
like to watch
reality shows.
These are
concept,
emotional
connect,
entertainment,
celebrity and
social
relatedness.
5. Dr. Debashish
Sengupta
Reality shows : the
new marketing tool
India - - Reality shows
have had their
share of
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(2009) controversy
along with their
popularity.
Surprisingly, even
controversies
have benefited
the marketers.
The advantages
of using reality
shows as a
marketing &
promotional
vehicle outweigh
most of the
traditional
marketing
mediums. And in
the years to
come, we may
see a spurt in
using reality
shows as a huge
marketing tool.
6. Manali
Bhattacharya
(2009)
Celebrity endorsed
reality TV shows: A
new marketing tool
India - - Having celebrities
in reality shows
adds more value
and glamor to
the brand.
Whatever be the
reason of
controversies,
from the
marketing
perspective, it
actually helps in
getting the
attention of the
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consumers. The
celebrity
endorsed reality
shows is
undoubtedly an
effective medium
to promote
product.
7. S John Gabriel The impact of
television
advertisements on
youth : A study
India 100 Sampling
method
adopted was
convenient &
random
sampling. Chi-
square
technique was
used to
analyze and
interpret data.
Youngsters are,
without doubt,
attracted to
advertisements.
So the onus is on
the advertisers,
not to produce
any
advertisement
which will
mislead the
uninformed.
Knowing the
considerable
impact of
advertisements
on youth, the
advertisers must
create
advertisements
which are both
realistic and
moral.
8. Joanne
Morreale
(2005)
Reality TV, Faking It,
and the
Transformation of
Personal Identity
USA - - Morreale
argues
that the
contents and
performance of
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the show
intensify the
link between
consumer
culture and
the fabrication
of identity by
teaching that
fulfillment
comes from
becoming,
rather than
having, a
commodity.
Faking It thus
puts on display
the processes
of fabrication
whereby the
self is created
and is best
understood
through the
logic of
simulation
rather than
representation.
9. Traci Inouye,
Johanna Lacoe,
Jennifer
Henderson-
Frakes.
(2004)
Youth Media’s
Impact on
Audience &
Channels of
Distribution: An
Exploratory
USA 224 Descriptive
Analysis
Specifically,
coming up with
a sampling
frame that is
both reflective
of youth
media’s target
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Study audiences, as
well as small
enough to be
meaningfully
reflective of
likely youth
media audience
members,
would present a
significant
challenge.
10. KRISTIN L.
CHERRY
(2008)
REALITY TV
AND
INTERPERSONAL
RELATIONSHIP
PERCEPTIONS
USA 406 Factor analysis Reality TV
shows are
influencing
people in many
ways. They
pervade our
popular culture.
You cannot hide
from reality TV;
it is
everywhere: in
discussions with
others, in
magazines or
newspapers, on
the Internet,
and even on
billboards. This
dissertation
suggests that
reality shows
might even
affect the
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manner in
which people
perceive
interpersonal
relationships.
There are many
other factors
that go into an
individual’s
ideology, but
this study
concluded that
reality TV is
related to an
individual’s
interpersonal
relationship
perceptions.
11. Steven J. Kirsh
(2005)
Cartoon violence
and aggression in
youth
USA - - Children are
exposed to
violence in
cartoons in a
greater
frequency than
in live-action
dramas.
Although adults
consistently
rate these
comedic
cartoons as
containing little
violence.
Findings
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suggest that
counteracting
the negative
effects of
cartoon
violence on
youth may be
as simple as
making an
active
mediation
statement
during viewing.
12. Rachel M.
Potratz
(2007)
WHEN IS
REALITY REAL?:
YOUTH
PERCEPTIONS OF
MTV REALITY
India 78 Descriptive
analysis
One of the
most
fascinating, and
potentially
impactful
results of this
research is
the ways in
which viewers
learned from
watching these
programs.
realism was
said to play a
role in how my
viewers
interpreted
what they were
watching, as
they said that
watching
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homosexuals on
a
scripted
program would
not have had
the same effect.
13. Dr. Kaoruko
Kondo
& Professor
Jeanette Steemers
Can Television be
good for Children?
USA 121 Descriptive
Analysis
This paper has
looked at the
potential
beneficial impact
of children’s
television on
children’s lives.
Television is
neither good nor
bad for children,
but its impact is
complex in the
way it affects
children’s
knowledge,
beliefs and
values. Debate
usually centres
on television’s
negative effects
but, as
expounded
across a range of
different studies,
it is clear that
television can
enhance
academic skills
such as school
readiness and
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vocabulary, as
well as pro-social
behaviours and
critical thinking
practices.
14. Affect, Inc.
(2000)
Exploring How to
Motivate Behavior
Change Among
Tweens in America
USA - - Tweens
appear to be
happy,
confident
and
optimistic
about their
futures.
Tweens
frequently
fantasize
about
achievement
and
recognition,
including the
desires to be
rich, famous,
and
successful.
•
Researchers
recommend
that
campaigns
Tweens learn
a lot
watching TV.
15. Christopher
Travers
The Effects of
Reality vs. Fantasy
Based First-Person
USA - - After reviewing
the literature,
there was no
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Shooting Video
Games on
Adolescent Behavior
evidence found
on the different
types of first-
person shooter
games. Today’s
youth are
bombarded
everyday with
new violent
media. School
violence,
aggression, and
video game
violence are all
interrelated for
video game
violence affects
aggression, and
aggression is
related to school
violence.
Therefore, violent
video games have
an extremely
important impact
on the effects of
adolescent
behavior and
consequentially
school violence.
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Chapter 3
Research Methodology.
Research Objective.
Primary objective:
i. To study the behaviour of the viewer’s towards reality shows.
ii. To know the future of reality shows.
iii. To study the perception of the viewer’s towards reality shows and daily soaps.
Secondary objective:
I. To know the effect of reality shows on TRP.
II. To know how reality show owners are earning via votes and sms.
Type of data required.
For doing this research we have used both secondary and primary data.
Primary data in the form of questionnaire and secondary data in the form of journal, literature and data from
internet.
Data collection method.
Data was collected through different means some of them are as following:
1. Personal administration of questionnaire.
2. Secondary data collected from websites and journals.
3. Informal inter5view, survey with individuals who use to watch T.V regularly.
Target population.
Due to the nature of our research title we had focused for youth between 15 to 30 years of age as target
population.
Sampling method.
Non probability convenience sampling.
Sample size.
The sample size for our research was 100 respondents.
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Chapter 4
Data Analysis.
The total number of respondent for our research was 100 respondents out of which 53 were male and 47 were
female.
Frequency Percent
Valid
Percent
Cumulative
Percent
Vali
d
Male53 53.0 53.0 53.0
Female 47 47.0 47.0 100.0
Total 100 100.0 100.0
Out of these 100 respondent majorities of them that’s 79% were watching televisions from 1 to 3 hours.
Frequency Percent
Valid
Percent
Cumulative
Percent
Vali
d
4-6 hrs21 21.0 21.0 21.0
1-3 hrs 79 79.0 79.0 100.0
Total 100 100.0 100.0
Most of respondent that is 37% preferred watching MTV channel may be due this channel offers both music
and reality shows.
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Multiple responses for best channel
Responses
Percent of
Cases
N Percent N
best
channel
Colors 8 7.9% 8.0%
star plus 5 5.0% 5.0%
zee tv 19 18.8% 19.0%
Sony 27 26.7% 27.0%
Mtv 37 36.6% 37.0%
channel V 5 5.0% 5.0%
Total 101 100.0% 101.0%
Out of these 100 respondent 7 male and 5 female that is a total of 12 respondent were not watching reality
shows and rest 88 respondent were watching reality shows.
Multiple responses for best type of shows
Responses
Percent of
Cases
N Percent N
type of
show
Dramas 11 3.9% 11.2%
Music 67 23.8% 68.4%
Animated 13 4.6% 13.3%
Documentaries 11 3.9% 11.2%
reality shows 88 31.2% 89.8%
Comedies 50 17.7% 51.0%
quiz shows 24 8.5% 24.5%
daily soaps 18 6.4% 18.4%
Total 282 100.0% 287.8%
Cross tabulation for gender and channel
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Sony Total
No Yes No
gender Male 40 13 53
Female 33 14 47
Total 73 27 100
Colors Total
No Yes No
gender Male 49 4 53
female 43 4 47
Total 92 8 100
zee tv Total
No Yes No
gender Male 43 10 53
female 38 9 47
Total 81 19 100
Mtv Total
No Yes No
gender Male 34 19 53
female 29 18 47
Total 63 37 100
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channel V Total
No Yes No
Gender Male 49 4 53
female 46 1 47
Total 95 5 100
star plus Total
No Yes No
Gender Male 49 4 53
female 46 1 47
Total 95 5 100
Cross tabulation for gender and type of shows
Animated Total
No Yes No
Gender male 47 6 53
female 40 7 47
Total 87 13 100
Dramas Total
no Yes No
Gender Male 49 4 53
female 40 7 47
Total 89 11 100
reality shows Total
no yes No
Gender Male 7 46 53
female 5 42 47
Total 12 88 100
quiz shows Total
No yes No
Gender Male 41 12 53
female 35 12 47
Total 76 24 100
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Comedies Total
No yes No
gender Male 22 31 53
female 28 19 47
Total 50 50 100
Music Total
no Yes No
Gender male 19 34 53
female 14 33 47
Total 33 67 100
daily soaps Total
No Yes No
Gender male 49 4 53
female 33 14 47
Total 82 18 100
Documentaries Total
no Yes No
Gender male 49 4 53
female 40 7 47
Total 89 11 100
Chapter 5
Findings.
Different measures used for 8 statements of likert scale.
One-Sample Test for statements of likert scale.
Test Value = 3
T Df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval
of the Difference
Lower Upper Lower Upper Lower Upper
Enjoy Watching 7.543 99 .000 .790 .58 1.00
Involve .429 99 .669 .050 -.18 .28
Share 3.113 99 .002 .380 .14 .62
Guess 2.875 99 .005 .350 .11 .59
good mood 3.761 99 .000 .400 .19 .61
Miss -.472 99 .638 -.060 -.31 .19
Unexpected 2.613 99 .010 .310 .07 .55
Appearance 2.184 99 .031 .290 .03 .55
There are 8 statements we have used for our likert scale in questionnaire. We have future calculated 1 sample t-
test with the help of given data.
Ho stands for null hypothesis and Ha stands for alternative or scientific hypothesis.
Ho for first and rest of the statement are.
Ho = there is no significance difference between opinion of the said statement and reality in audience.
Ha = there is significance difference between opinion of the said statement and reality in audience.
The significance value for the above statement can be obtained from the given table above that is .000 whereas
if significance value of any analysis is less than 0.05 then we always reject the null hypothesis that is Ho.
Therefore we will reject the null hypothesis.
Like for the following statement the Ho will be reject that is there is no significance difference between reality
and the said statement.
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1. I enjoy watching reality TV shows.
2. I like to share & talk about reality shows.
3. I enjoy trying to guess what will happen next in the reality show.
4. Reality shows keep me in good mood.
5. I like when some unexpected thing happens in reality shows.
6. Appearances is more important than intelligence in reality shows.
The significance value of 2 statements is greater than 0.05 therefore we will accept Ho and these statements are
as follows:
1. I get so involved that I don’t change the channel.
2. I hate when I miss an episode of reality show.
T value of only statement is on neutral level that is all are on disagree side. Rest all statement are above neutral
level that is all are on agree side.
Reliability analysis.
Reliability analysis is a measure to check the internal consistency of an instrument constructed with multiple
item scale. The null and alternative hypothesis for Cronbach’s Alpha are:
Ho = the test is not reliable, that is, the observed score is not related to the true score.
Ha = the test is reliable, that is, the observed score is related to the true score.
Cronbach’s Alpha is greater than 60 % then we reject Ho. The Cronbach’s Alpha value for data is 85 %.
Therefore we will reject Ho and accept Ha that is, the test is reliable.
Reliability Statistics
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Cronbach's
Alpha N of Items
.850 8
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy..842
Bartlett's Test of
Sphericity
Approx. Chi-Square 285.690
Df 28
Sig. .000
The KMO and Bartlett’s test table displays the result for interpreting the adequacy of the data for factor
analysis. Kaiser Meyer Olkin (KMO) is a measure of sampling adequacy and its value should be greater than
0.6 for the sample to be adequate to undertake factor analysis. Also, the p-value of Bartlett’s test of spherically
should be less than 0.05.
In our research the value of KMO test is 0.842 that is higher than 0.6 and the p-value of Bartlett’s test is .000
that is less than 0.05, therefore factor analysis can be undertaken using this dataset.
Component Number87654321
Eig
enva
lue
4
3
2
1
0
Scree Plot
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The scree plot determines the optimal number of components. It plots the eigenvalues of each component. The
number of component which fall on the steep slope are extracted because the eigenvalues of those components
are greater than 1.
Component Matrix(a)
Component
1
Share .767
good mood .764
Involve .738
Guess .736
Miss .733
Enjoy Watching .695
Unexpected .660
Appearance .518
1 component extracted.
The component matrix table shows the component that are extracted. The first factor is more highly correlated
with the variables than the second factor, and second factor is more highly correlated than the third factor and
so on.
Communalities
Extraction
Enjoy Watching .483
Involve .544
Share .588
Guess .542
good mood .583
Miss .537
Unexpected .435
Appearance .268
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Different measures used for types of shows.
Chi- Square.
Chi-square is used to examine the association between two or more variables measured on categorical scales.
Chi-square tests the hypothesis whether two or more samples drawn from the same population have similar
characteristics or not.
The Chi-square test is a statistical technique to examine the association or statistical independence between the
row and column variables in a tow way table.
The null and alternative hypothesis for Chi-square test are:
Ho = there is no association between the type of show and gender.
Ha = there is association between the type of show and gender.
Chi-Square Tests for drama shows and gender.
The value of Pearson Chi-square is 1.373 and associated significance value is 0.241 (which is greater than 0.05)
therefore, the null hypothesis is accepted and we say there is no association between drama type shows and
gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 1.373(b) 1 .241
Continuity Correction(a) .725 1 .394
Likelihood Ratio 1.380 1 .240
Fisher's Exact Test .340 .197
Linear-by-Linear
Association1.360 1 .244
N of Valid Cases 100
Chi-Square Test for music shows and gender.
The value of Pearson Chi-square is 0.414 and associated significance value is 0.520 (which is greater than 0.05)
therefore, the null hypothesis is accepted and we say there is no association between music shows and gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square .414(b) 1 .520
Continuity Correction(a) .185 1 .667
Likelihood Ratio .415 1 .519
Fisher's Exact Test .532 .334
Linear-by-Linear
Association.410 1 .522
N of Valid Cases 100
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Chi-Square Test for animated shows and gender.
The value of Pearson Chi-square is 0.281 and associated significance value is 0.596 (which is greater than 0.05)
therefore, the null hypothesis is accepted and we say there is no association between animated shows and
gender.
documentary shows and gender.
The value of Pearson Chi-square is 1.373 and associated
significance value is 0.241 (which is greater than 0.05) therefore, the null hypothesis is accepted and we
say there is no association between documentary shows and gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 1.373(b) 1 .241
Continuity Correction(a) .725 1 .394
Likelihood Ratio 1.380 1 .240
Fisher's Exact Test .340 .197
Linear-by-Linear
Association1.360 1 .244
N of Valid Cases 100
Chi-Square Test for reality shows and gender.
The value of Pearson Chi-square is 0.156 and associated significance value is 0.693 (which is
greater than 0.05) therefore, the null hypothesis is accepted and we say there is no association between
reality shows and gender.
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Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square .281(b) 1 .596
Continuity Correction(a) .054 1 .816
Likelihood Ratio .281 1 .596
Fisher's Exact Test .767 .407
Linear-by-Linear
Association.278 1 .598
N of Valid Cases 100
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square .156(b) 1 .693
Continuity Correction(a) .007 1 .931
Likelihood Ratio .157 1 .692
Fisher's Exact Test .765 .468
Linear-by-Linear
Association.154 1 .695
N of Valid Cases 100
Chi-Square Test for comedy shows and gender.
The value of Pearson Chi-square is 3.252 and associated significance value is 0.071 (which is greater than 0.05)
therefore, the null hypothesis is accepted and we say there is no association between comedy shows and gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 3.252(b) 1 .071
Continuity Correction(a) 2.569 1 .109
Likelihood Ratio 3.270 1 .071
Fisher's Exact Test .109 .054
Linear-by-Linear
Association3.219 1 .073
N of Valid Cases 100
Chi-Square Test for quiz shows and gender.
The value of Pearson Chi-square is 0.114 and associated significance value is 0.736 (which is greater
than 0.05) therefore, the null hypothesis is accepted and we say there is no association between quiz type of
shows and gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square .114(b) 1 .736
Continuity Correction(a) .011 1 .918
Likelihood Ratio .114 1 .736
Fisher's Exact Test .816 .458
Linear-by-Linear
Association.113 1 .737
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N of Valid Cases 100
Chi-Square Test for daily soaps and gender.
The value of Pearson Chi-square is 8.348 and associated significance value is 0.004 (which is less than 0.05)
therefore, the null hypothesis is rejected and we say there is association between daily soaps and gender.
Value Df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 8.348(b) 1 .004
Continuity Correction(a) 6.909 1 .009
Likelihood Ratio 8.666 1 .003
Fisher's Exact Test .004 .004
Linear-by-Linear
Association8.264 1 .004
N of Valid Cases 100
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Chapter 6
Conclusion.
Consider the scenario of the Indian television around seven-eight years before. What comes to our mind
when we think of that time? I think Simplicity and yet pure entertainment was the main focus of Indian
television of that time. Each channel provider had something different to provide according to variety of tastes
of different people. With limited number of providers and limited number of serials, the quality of both was
maintained at its best. Reality shows emerged as the new found idea that interested many who despised Serials.
Many got a fresh lease of life from the boring and repetitive serials .But now the situation has even got worse.
The number of reality shows in the television has even gone past the number of serials.
Reality shows to find the best singers, best dancers, best comedians, best quizzers and even shows to
find the luck of a person has captured the minds of persons. Almost all the languages in India and almost every
channel in the country will have their own reality shows.
With Big Boss and Swayamvar ruling the TRP ratings, it is time to analyze the consequences of these
shows. Big Boss is just crap show, so is the much hyped Roadies show in MTV. The contestants in these shows
are encouraged to use the bad words which directly or indirectly impact the viewers. Such shows inculcate a
degrading personality among the youth of the country. A child gets affected far worse due to this. Moral aspects
are left out and an India with morally degrading youth is on the verge of emergence.
The need for special boards to stop such vulgarities in the television seems to be the need of the hour.
Let us make our old Mahabharata and Ramayana to come back . Though boring, it can instil values amongst the
youth and children. The acceptance of western culture among the youth can be widely being attributed to these
shows which dignify the western culture.
Reality television has come to dominate the television industry. There are educational reality shows and
non educational reality shows. They both have their entertainment values. The difference is one is productive
television, and one is counterproductive. There is good and bad in everything, and everything is good in
moderation, but counterproductive TV is taking over productive TV.
The time slots to watch educational reality shows are generally later in the evening.
Tolani Institute of Management Studies Page 35
These prime time shows for non educational reality shows target youth, but they do not teach lessons. In
fact, they do the opposite, since many young people think it okay to emulate these reality show stars.
TV is the greatest gift of science and technology. Our ancestors used to get the information from the radio or
newspaper, but today’s generation can get that information more clearly by watching it or even live telecasting.
But in our opinion, whatever our surroundings, we learn to adapt it in our daily life. Same happens with us
while watching TV. Television has both its pros and cons. It depends on us how we use it.
There are many serial which shows bad things like crime, glamour etc which has very bad impact on our
society. While watching these shows they get involved in the fantasy of that character and try to be like that in
their day to day life. Television is considered as a source entertainment rather than source of knowledge.
So it misleads our youth they are diverting from their study specially the school going children. So
parents should have a check on them so that their child will learn to have a balance between his studies and
entertainment. The young people must understand that watching is one thing and implementing what you've
seen on the screen is a totally different one. And it has bad results too.
There’s no doubt that the different reality shows aired on various channels are doing wonders for the
channels and its producers. People like these shows and with good TRP’s the channels are collecting huge
funds through commercials. Even the singing based kids reality shows like Zee’s Sa Re Ga Ma Pa Lill Champs
and Star Plus’s Chotte Ustad are receiving huge amount of viewers. But are we doing justice with the future of
these innocent kids? Where, every year the rate of students committing suicide due to syllabus pressure is
increasing at a tremendous rate, the kids participating in these kind of shows lose a lot of their valuable
schooling as their time is been wasted rehearsing for these competitions.
“It surely has, as for six months I didn’t get time to study. But I have always been good in studies and
score above 90%. So, I am sure I would recover my studies pretty soon,” speaks Anamika Chodhary, the
winner of Zee’s Sa Re Ga Ma Pa Little Champs second season. We hope that this young kid copes up with her
lost syllabus. But what again the question arises that about the kids who aren’t as brilliant as Anamika in
studies? Being six months away from your schooling isn’t at all an easy thing to recover with.
Zee TV’s marketing head Tarun Mehra believes there’s nothing wrong if the kids are losing out on their
studies. “See, in the past also when there wasn’t any reality show, parent has to encourage their kids who had
special talents. Ultimately you have to choose a career. I think it’s fine if they lose on some months of their
schooling to do what they really love to do,” speaks Tarun.
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Whereas, Veteran music-director-singer Bappi Lahiri too encourages kids based reality shows but also
accepts that some measures should be taken so they don’t lose out on their valuable education. “Singing,
dancing, etc are god-gifted talent and the kids with these talents should be encouraged to showcase their talents
in front of the viewers. Education is also very important and I accept that these shows do has an effect on it, but
I feel the schools should co-operate by giving such students special privilege as after all their even their school
is getting famous. They should held special exams for the kids by giving them time to recover their lost time,”
believes Bappi Lahiri.
In the past the glamour industry has seen many cases of stars suffering from depression after them loose
their stardom. Even these kids achieve instant but brief fame by participating in reality shows, but have we
really analyzed the after effects of it.
“Here the parent’s role is of uttermost important. They are the ones who can understand and groom their
kids in a way that the success doesn’t affect them. I have seen once the kids achieve fame participating in these
competitions they start doing various stage shows which in a way affects their voice due to excessive singing,”
feels Bappi Lahiri.
“See these kinds of things happen in every industry and that’s all I want to say,” says Tarun Mehra in an
angry tone. It may be happening in every industry, but children don’t work in those industries. Are these small
kids matured enough to cope up with downfalls of life at such tender age when it’s even difficult for us adults
to cope up with.
Well, we too want to see these kids performing, but we feel that certain measures should have to be
taken so that their education doesn’t gets affected and also the limelight doesn’t take over their innocent
mindset.
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Chapter 7
References
Gabriel, J. S. (2006). The Impact of Television Advertisements on Youth: A Study. The ICFAI Journal of Marketing Management , 5 (3), 70-79.
Shukre, A. (2010). Reality Television Shows: Entertaining, Money Mining or Tantalizing ? Indian Journal of MARKETING , 40 (7), 8-20.
Bhattacharya, M. (2009). Celebrity Endorsed Reality TV Shows: A New Marketing Tool. Advertising Express , 9 (7), 41-45.
Sengupta, D. (2009). Realtiy Shows: The New Marketing Tool. Indian Journal of MARKETING , 39 (1), 17-19.
Keane, M., & Moran, A. (2008). Televisions' New Engines. Television & New Media, Sage , 9 (2), 155-169.
Kumari, D. (n.d.). Reality Shows on the Indian Television: Implications for the channels and advertisers. Changing paradigms in management Practices , 130-135.
WWW.Google.com
WWW.Wikipedia.org
WWW.ebsco.com
WWW.oppapers.com
Tolani Institute of Management Studies Page 38
Chapter 8
Appendix
Questionnaire for “Effect of Reality Shows on Youth”Please spare few minutes and fill this questionnaire.
How many hours a day do you watch T.V (daily)?0 4 – 61 – 3 7 – 10
What kinds of TV shows do you watch? (can tick more than 1 optionsDramas Reality ShowsMusic ComediesAnimated Quiz ShowsDocumentaries Daily Soaps
If yes, what are your most favored Reality shows?(rank the more preferred show as 1st an least as 8th )
Show name Rank Show name RankRoadies Dance India DanceBig Boss Indian IdolSpiltsvilla India’s Got TalentKaun Banega Crorepati Emotional
Atyachaar
Do you think there is too many Reality programmers’?Yes No
Do you think there’s an even balance between Reality TV and other genre type programmers’.Yes No
Do you think Reality TV is purposely aimed towards a specific audience? Yes No
What is their impact on the society? Positive Negative
If Positively, how?Knowledge wise Emotionally economically
If Negatively, how?By spoiling the culture increased voilence Wastage of precious time
Do u think few reality shows are creating vulgarity? Yes No
Does Reality shows acts as a platform for new talents? Yes No
Do you prefer voting for reality shows? Yes No
Is SMS voting system fair in Reality shows? Yes No
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Do you think the concept of children participation in reality is correct? Yes No
Reality shows are better means of entertainment? Yes No
Which channel televises best Reality show? Colors Sony Star Plus MTV Zee TV Channel V
Do you think the morals and values of reality shows are good or bad? Good Bad
Should these Reality Shows beBanned Encourage
STATEMENT Strongly disagree
Disagree Neither yes nor no
agree Strongly agree
1. I enjoy watching reality TV shows.2. When I watch reality TV shows, I get so
involved I don't change the channel.3. I like 2 share/talk about reality TV shows with
people I know.4. I enjoy trying to guess what will happen on
reality TV shows.5. I like reality TV because it puts me in a good
mood.6. I hate when I miss an episode of a popular
reality show and everyone’s talking about it.7. I like it when something unexpected occurs on
reality TV shows.8. Watching reality TV makes me think that
appearance is often more important than intelligence.
Name: ____________________ What gender are you?
Male Female What age group are you?
Under 18 23-2618-22 27-30
Thank you for sparing your valuable time for filling this questionnaire.
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