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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 Tolani Institute of Management Studies Page 1

Effect of Reality Shows on Youth

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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.

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Page 1: Effect of Reality Shows on Youth

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

Tolani Institute of Management Studies Page 1

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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

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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

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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

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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

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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

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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.

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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

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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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