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1. 1
A STUDY ON
THE IMPACT OF MOVIES ON YOUNGSTERS
CHAPTER - 1
1. INTRODUCTION:
To be alive is “being moved”. To be dead is “being still”. We say “The Sea is alive”
particularly because of the waves. There are fish around in the sea. When we look at babies,
they normally react to something or somebody moving. Man is an animal of curiosity. We all
get interested in something new and/or alive. Movies can show us a new world which we can
imagine. As we all know that we have grown here by hearing stories, which was eventually
converted to dramas and then to most fascinating movies. Now a day even a small town has
exposures to cinemas for entertainment. In this modern era, the highly intellectual people
admire the superheroes of movies.
1.1 ABOUT THE STUDY:
This study describes the changing of behaviour or attitude in human beings due to the
impact created by the creative & reality movies. This study gives both the positive and
negative impacts it created.
1.2 POSITIVE ASPECT OF THE MOVIES:
Movies often relate to current social problems, Political scenarios, love and romance,
friendship and almost every aspect of the lives. So, for a mature and educated audience,
movies can be reflections of the unknown alleys of the society, its people, customs, life etc.
For example, a recent movie called „parched‟ is a mirror to how women are mal treated in the
northern states of Rajasthan and Haryana. Movies can also be a great way of learning framing
and light/ shadow in photography. A keen observer will understand how beautiful some shots
can be. Also, movies convey important social messages.

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1.3 NEGATIVE ASPECT OF MOVIES:
In many movies there is an unnecessary show of pomp and luxury which can be
misleading and problematic to the youth. Movies often exaggerate violence which may
induce „mean world syndrome‟ and may spark violent traits among children and youngsters.
Movies also may force a cultural dilemma among the audience as the portrayal of characters
is sometimes far from reality. For example, in a movie a couple shown kissing on the road
may be great to look at but in India if you try that then there is a great possibility of being
arrested or being beaten up. Similarly, movies, mainly the popular drama based ones portray
a society which is far from real. For example, a hunk riding an Audi may be „awwww…‟ For
girls but if that is taken as a benchmark of awesomeness then probably it is not justified.
1.4. STATEMENT OF THE PROBLEM:
Although movies create changes in the life of youngsters, it also creates some
negative thoughts which leads to the destruction of lives. Anonymously it creates the same
information on both sides. Thus this study helps in analysing the negative impacts it created
in the society. Now we are undergoing a lots of destructive things in the society like woman
harassment, etc.,
1.5. NEED FOR THE STUDY:
Now a day, people are being more admired &getting indulged in movies. Movies are
sending information and bringing awareness to the people.
Movies also develop creativity in youngsters which also leads to the changes in their life
style. This study attempts to give you the psychological & physical changes happening to the
youngsters between the age groups of 14 – 25.
How the life of youngsters get changed after the arrival of superheroes

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1.6. OBJECTIVES:
The main objective of the research is
1. “To find whether the movies have an impact (positive and negative) on the real life of
the viewers”
2. Negative impacts of cinema – like promoting unhealthy habits like alcoholism and
smoking.
1.7. PROPOSED MODEL:
From the research papers we found that the movies already have some impact on
humans. What we are proposing here is trying to find the character change, behavioural
change and appearance change of the viewers based on the movie they watch. And we can
also suspect the changes that a particular movie can bring to the viewers and in turn we can
film a movie in a way to bring a good change to the society.
1.8. SCOPE OF THE STUDY:
This study focuses on the impact of movies on youngsters which create psychological
and physical changes in their life. Younger people, particularly teens, are much more likely to
be impacted than older adults because they are still developing and shaping their worldviews
Here we are focusing on the college students at and near Saravanampatti in Coimbatore. It
also focus on how the negative impacts could be changed to positively in their life.
1.9. LIMITATIONS:
As we have focused only on the particular region we cannot apply the same model to
all universally for different geographical regions where the movie patterns and viewers
perceptions will show a big difference. Time availability to complete the research and wide
coverage.

4. 4
CHAPTER – 2
REVIEW LITERATURE
1. Education through movies: improving teaching skills and fostering
reflection among students and teachers.
Cinema is the audiovisual version of storytelling. It enhances emotions and therefore sets
up the foundation for conveying concepts. Movie experiences act like emotional memories
for developing attitudes and keeping them as reflective reference in the daily activities and
events. The purpose is not to show the audience how to incorporate a particular attitude,
but rather to promote their reflection and to provide a forum for discussion.
In this paper, the authors relate their experiences in cinematic teaching, particularly the
effectiveness of the movie-clip methodology, in which multiple movie clips are shown in
rapid sequence, along with facilitator comments while the clips are shown. The movie clip
method can improve faculty teaching and stimulate their professional growth. Life stories
are a powerful resource in teaching. In ancient cultures, such as classical Greece, the art of
story-telling was often used to teach ethics and human values Stories are one reasonable
solution to the problem that most people, especially young people, can only be exposed to
with a limited range of life experiences.
2. Impact of Celebrity Personality on Buying Behavior of Teenagers
Celebrities from various fields like movies, sports acts in many advertisements on
television. Teenagers get more influenced by the celebrity endorsement. Most of the
company throws advertisement on television to attract the teenagers. This study show that
People like to watch celebrity advertisements as compared to non-celebrity
advertisements. But at the purchase time samples choose products according to their
choice and comfort. Celebrities do not affect much the purchase decision of samples.
3. Smoking in movies and smoking initiation in adolescents
There is now strong evidence base demonstrating that exposure to smoking imagery in
movies whether branded or generic is associated with an increased likelihood of smoking
in young people, and various authorities have concluded that this effect is likely to be

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causal. An association between exposure to film smoking and smoking uptake is highly
plausible. Tobacco advertising is a recognized driver of smoking uptake and although
paid-for advertising is now prohibited in most rich countries, promotion through other
means is unlikely to be any less effective. The example set by India, of requiring anti-
smoking messages to be shown before and during films containing smoking and subtitled
health warnings to be shown during smoking scenes could also be applied more widely to
both reduce the impact of the exposure, and discourage moviemakers from including
tobacco content. Whatever the solution however, the evidence now available indicates that
measures to protect young people from such imagery are long overdue.
4. Economic and social impacts of the media
This study shows an important opportunity emerges from the complementarity between
entertainment and education in the “educational entertainment” (or “edutainment”)
combination: entertainment shows that incorporate role model lessons. from the study that
releases of violent movies lower violent crime because they reduce the allocation of time
to even more pernicious activities. This is a surprising policy impact for a media genre
that generally is seen very critically. This finding is not likely isolated. More generally,
media entertainment that attracts groups with violent inclinations has the potential to play
an important positive role. The study of the economic and social impacts of the media is
an area in transition that exhibits great potential. The large majority of what we know in
the area did not even exist ten years ago. That only leads one to imagine what
breakthroughs lay ahead for the field.

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CHAPTER – 3
RESEARCH METHODOLOGY
3.1 INTRODUCTION:
This aim of this research study is to find the impact of the movies on the society. This
chapter includes the details of research design, data collection method, population, sampling
method and tools for data collection.
3.2 RESEARCH DESIGN:
In this research we are using descriptive statistics. Here we are using the collected
data to frame the description of the population behaviour by numerical calculations, graphical
representations and tables. We have used probability sampling methods for this research
design.
3.3 DATA COLLECTION – PRIMARY:
Here we are using primary data. The data are collected through a structured
questionnaire and few direct surveys (in movie theatres if possible) to the students of
Kumaraguru College of Technology and to the families staying in near-by apartments. We
have selected this population because this the teenage and young adult group which has the
passion for watching more new movies and spend their time in new entertainments. This
population is considered as the experiencers who are always in the search of new experience
and ready to give a try to all the new changes.
3.4 DATA COLLECTION – SECONDARY:
Secondary data is the already available data. We have not used any secondary for the
research outcome. The secondary sources are like book my show and online movie ticket
booking websites. We are going to do the analysis only with the help of primary data.

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3.5 UNIVERSE:
Universe consists of all the elements of the survey used in the study. Here the
concentrated population is the teenagers, young adults and families. We have chosen this
population because this is the largest crowd which is more passionate about the movies. As
we all know today‟s youth are the tomorrow‟s pillars we have chosen age group from 15 –
30.
The location of the study population is in and around Saravanampatti and the students and
faculties of Kumaraguru College of technology.
3.6 SAMPLING METHOD:
We are going to use probability sampling method since it gives the more accurate
results and outcome. To be more specific about the sampling method we are going to use
simple random sampling and stratified random sampling. In simple random sampling we will
choose the samples from a large set of population randomly and entirely by chance. So that
each individuals have the same probability of being chosen at any time of the survey process.
In stratified random sampling we are going to group the population in to strata with certain
similar characteristics. To be more specific college students as one category, faculties as the
other category and family fall under the other category.
3.7 TOOLS FOR DATA COLLECTION:
For the research study of the impact of movies on the society we are going to use
SPSS, Ms-Excel data analysis, correlation, T-Tests, Anova, five point descriptive statistics.
The sample size taken for this study is 151.

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3.8 RELIABILITY TEST:
Table 3.8.1 Reliability Test
S.NO CONSTRUCTS CRONBATCH
ALPHA
1. Psychological factor
0.857
2. Emotional factor
3. Behavioral factor
4. Aspirational factor
5. Social factor
6. Changes and Impact
Inference:
The reliability test is used to find whether the collected data produces a stable and a
consistent result. For the taken constructs we have done the external reliability test and found
that the cronbatch alpha value is 0.857. Thus the data taken for the study is reliable.

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CHAPTER-4
ANALYSIS AND INTERPRETATION
This chapter deals with the analysis of demographic profile of the movie viewers,
exploring the questionnaires and the domains which were taken for the study using
statically tools like SPSS and Excel. We have collected the responses from about one
hundred and fifty one viewers. The analysis is done for one hundred and fifty one people
among the college students and few working professionals in Kumaraguru college of
technology, Coimbatore. The significance effect of the study is to find whether the
movies which we watch has any significant effect on the behaviour and habits of the viewer
and also to find whether the movies have any psychological impact on the viewers.
The constructs of the study can be as follows:
 Psychological factors
 Emotional factors
 Behavioural factors
 Aspirational factor
 Social factors
 Changes and Impacts
Based on the result of the analysis, we will find which factor has the high effect
on the movie viewers (i.e,) by watching a movie which factor of the viewer will be most
affected (Emotional, Behavioural, Psychological).

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4.1 DEMOGRAPHIC PROFILING
The demographic variables in the study are age, gender and marital status of
respondents. With the help of frequency analysis and percentage analysis, demographic
variables are classified as percentage.
4.1.1 Classification of respondent based on Age
The classification of respondent based on age groups are shown in the table 4.1.1,
the age groups are categorized into three groups,
i. 15-20 years
ii. 20-25 years
iii. 26-30 years
Table 4.1.1 Classification of Respondents based on Age
S.NO AGE NO OF
RESPONDENTS
PERCENTAGE OF
RESPONDENTS
1 15-20 21 13.9
2 21-25 106 70.2
3 26-30 24 15.9

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Interpretation:
The frequency of the age group contains 151 (one hundred and fifty one)
respondents. In that 106 respondents belonging to the age group 21-25 years old was the
highest percentage with 70.2 % of the sample size. The sample size of 21 respondents
belonging to the age group of 15-20 years is with the lowest percentage of 13.9 %.
4.1.2 Classification of respondent based on Gender
The classification of respondent based on Gender are shown in the table 4.1.3, the
gender is classified as Male and Female respondents.

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Table 4.1.2 Classification of respondent based on Gender
S.NO GENDER NO OF
RESPONDENTS
PERCENTAGE
OF
RESPONDENTS
1 Male 95 62.9
2 Female 56 37.1
151 100
Interpretation
The frequency of the Gender contains 151 (one hundred and fifty one) respondents.
In that 56 respondents are female and 95 are male, which is 37.1% female respondents and
62.9% male respondents.

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4.2 EXPLORING STUDY CONSTRUCTS
Table 4.2.1 Psychological factors
S.NO
PSYCHOLOGICAL
FATCOR
MEAN
STANDATD
DEVIATION
1.
I prefer watching movie
alone
2.9470
1.30531
2.
I am depressed after watching
a sad movie
2.4503 1.12954
3.
I had a mood swing after
watching a movie
2.2252 1.12055
Chart 4.2.1 Psychological factor
Interpretation
From the mean values for the variables in psychological factors , it is found that movies have
a good impact on the viewer‟s psychology and factor 1 (watching movie alone) has a
greater mean value as 2.947 and it is considered to be highly contributing for
psychological factor. It can be concluded that movies have a high impact on the
psychological factors.
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
CI1 CI2 CI3
Mean
Mean

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Table 4.2.2 Emotional factors
S.NO EMOTIONAL FATCOR MEAN
STANDATD
DEVIATION
1.
I've cried while watching a
sensitive scene in a movie
2.3444
1.16073
2. I've felt the fear while
watching a horror movie
2.15656 1.12801
3. I‟ve forgotten all my sorrows
while watching the comedy
film
2.0530 1.01842
4.
I‟ve had the feeling of
confidence and hope after
watching a motivational film
1.8940 0.748445
Chart 4.2.2 Emotional factor
Interpretation
From the mean values for the variables in emotional factors , it is found that movies have a
good impact on the viewer‟s emotions and factor 1 (cried watching a sad movie) has a
greater mean value as 2.344 and it is considered to be highly contributing for
0
0.5
1
1.5
2
2.5
3
CI1 CI2 CI3 CI4
Mean
Mean

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emotional factor. It can be concluded that movies have a high impact on the emotional
factors.
4.2.3 Behavioural factors
Table 4.2.3 Behavioural factors
S.NO EMOTIONAL FATCOR MEAN
STANDATD
DEVIATION
1.
I've had got pierced (ear, nose
or others) after seeing the
actor/actress
3.1258
1.41565
2. I've tried a imitating the
actor/actress after watching a
movie
2.7682 1.35864
3. I've tried smoking /
consumed alcohol after
watching a movie
actor/actress involving in
such activities
3.4834 1.56569
Chart 4.2.3 Behavioural factors
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
CI1 CI2 CI3
Mean
Mean

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Interpretation
From the mean values for the variables in behavioural factors , it is found that movies have a
good impact on the viewer‟s behaviour and factor 3 (smoking and alcohol consumption) has
a greater mean value as 3.4834 and it is considered to be highly contributing for
behavioural factor. It can be concluded that movies have a high impact on the behavioural
factors.
4.2.4 Aspirational factors
Table 4.2.4 Aspirational factors
S.NO
ASPIRATIONAL
FATCOR
MEAN
STANDATD
DEVIATION
1.
I've been inspired by seeing
the motivational movies (eg:
dhoni, dhangal)
1.9735 0.99965
2. I've aspired to be fit after
watching a movie star
2.3667 1.06448
3. I've aspired to act (in
movies, short film, tik tok)
after watching a movie
2.8533 1.41605
Chart 4.2.4 Aspirational factors
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
CI1 CI2 CI3
Mean
Mean

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Interpretation
From the mean values for the variables in aspirational factors , it is found that movies have a
good impact on the viewer‟s behaviour and factor 3 (to act in short films) has a greater
mean value as 2.8533 and it is considered to be highly contributing for aspirational
factor. It can be concluded that movies also give some aspiration to the viewers.
4.2.5 Social factors
Table 4.2.5 Social Factors
S.NO SOCIAL FATCOR MEAN
STANDATD
DEVIATION
1.
I will accept movie star as a
political leader (by seeing the
way he/she acts in a movie)
2.98 1.46306
2. I will watch my favourite
star's movie on first day first
show
2.5867 1.29629
3. I will support star worship
2.9667 1.41619
4. I will support fan fights
3.4667 1.54428
Chart 4.2.5 Social Factor
0
0.5
1
1.5
2
2.5
3
CI1 CI2 CI3 CI4
Mean
Mean

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Interpretation
From the mean values for the variables in social factors , it is found that movies have a good
impact on the viewer‟s social behaviour and factor 4 (supporting fan fights) has a greater
mean value as 3.4667 and it is considered to be highly contributing for social factor. It
can be concluded that movies also affect the sociology of the viewers.
4.2.6 Impact and changes
Table 4.2.6 Impact and changes
S.NO IMPACT AND CHANGES MEAN
STANDATD
DEVIATION
1.
My love and affection
towards my family had
increased after watching a
movie
2.5869 1.24882
2. I've started caring old
people/animals/children after
watching a movie
2.4600 1.11506
3. I've got inspired by the actor
and tried (succeeded) six
pack or at least hit the gym
2.8133 1.37781
4. I've changed my hair style
after watching the
actor/actress in a movie
2.1131 1.40539
5. I've started using many
accessories (bracelets,
chains, rings etc ) after being
influenced by the
actor/actress
2.1724 1.22675

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Chart 4.2.6 Impacts and changes
Interpretation
From the mean values for the variables in impact and change factors , it is found that movies
have a good impact on the viewer‟s and factor 3 (going to gym add maintain fitness) has a
greater mean value as 2.8133 and it is considered to be highly contributing for the
change factor. It can be concluded that movies have a significant overall impact on the
viewers.
4.3 DESCRIPTIVE STATISTICS AND EXPLORING THE DOMAINS
The domains taken for the study are, Emotional factor, Behavioural factor, Social
factor and Aspirational factor.
Table 4.3.1 Exploration of domains
S.NO CONSTRUCTS MEAN
STANDARD
DEVIATION
1. PSYMEAN 7.620 2.63
2. EMEAN 6.56 2.59
3. BMEAN 11.246 4.04
4. ASMEAN 9.520 3.29
5. SOCMEAN 12.00 4.79
6. IMPMEAN 13.49 5.18
0
0.5
1
1.5
2
2.5
3
CI1 CI2 CI3 CI4 CI5
Mean
Mean

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Interpretation:
The descriptive statistics for each of the constructs has been taken. The constructs
used in the study are PSYMEAN – mean of the psychological factors is 7.62 and the standard
deviation is 2.63; EMEAN – the mean of the emotional factor is 6.56 and the standard
deviation is 2.59; BMEAN – the mean value of the behavioural factor is 11.24 and the
standard deviation is 4.04; ASMEAN - the mean value of the aspirational factor is 9.52 and
the standard deviation is 3.29; SOCMEAN - the mean value of the social factor is 12.00 and
the standard deviation is 4.79; IMPMEAN - the mean value of the impact and changes is
13.49 and the standard deviation is 5.18. Thus the social factor and behavioural factors are
highly impacted with a high mean value.
4.4 ANOVA TEST:
4.4.1 Test to find whether the Age affects the constructs:
Hypothesis:
H0: Age doesn‟t have a significant impact on the construct
Ha: Age has a significant impact on the construct
ANOVA
Sum of Squares df Mean Square F Sig.
Age_1
Between Groups 533.491 34 15.691 1.352 .143
Within Groups 812.118 70 11.602
Total 1345.609 104
Age_2
Between Groups 208.382 34 6.129 .868 .669
Within Groups 494.220 70 7.060
Total 702.602 104
Age_3
Between Groups 450.207 34 13.241 .931 .582
Within Groups 996.123 70 14.230
Total 1446.329 104

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Interpretation:
This anovo test was carried out to find which age group has a high impact on the
various constructs. Thus the significant value is greater than 0.05 so we will fail to reject the
null hypothesis. So age have a significant impact on all the constructs. From this test we can
see that the age group 2 (21-25 years) is the most affected group.
4.5 CORRELATION:
Correlation is used to test if there is an association or relation between two variables. The
correlation test has been used to find relationship between constructs, it is given in the table
below.
Table 4.5.1 Correlation between Emotional factor, Behavioural factor,
Aspirational factor and Social factor:
Construct Psychological Emotional Behavioral Aspirational Social
Psychological 1
Emotional 0.319 1
Behavioral 0.522 0.283 1
Aspirational 0.543 0.347 0.69 1
Social 0.340 0.154 0.799 0.558 1
Interpretation:
If the correlation factor is form 0.0 to 0.2 little correlation, 0.2 to 0.4 weak correlation, 0.4 to
0.7 correlated, 0.7 to 0.9 strong correlation, 0.9 to 1 strong correlation.
Emotional factor and Behavioural factor have no correlated.
Emotional factor and Aspirational factor are weakly correlated.
Emotional factor and Social factor have no correlation.
Behavioural factor and Aspirational factor are highly correlated.

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Behavioural factor and Social factor are strongly correlated.
Aspirational factor and Social factor are highly correlated.
Psychological and Aspirational factor are highly correlated.
4.6 REGRESSION ANALYSIS:
Assessing the impact of movies on the behavioural, social, emotional, psychological and
aspirational factors of the viewers:
Regression is used in estimating the magnitude of the relation between
variables. In this study impact and changes is the dependent variable and the
other constructs like psychological factor, emotional factor, behavioural factor,
social factor and aspirational factors are the independent variables. So with the
help of these dependent and independent variables the multiple linear regression
test has been performed using SPSS and results has been produced below.
Table 4.6.1 Impact of movies on various constructs
MODEL B
Std.
ERROR
BETA t Sig.
Constant -1.168 0.993 -1.176 0.241
PSYMEAN 0.332 0.122 0.169 2.712 0.008
EMEAN 0.374 0.108 0.187 3.475 0.001
BMEAN 0.477 0.128 0.312 3.730 0.000
ASMEAN 0.297 0.116 0.188 2.563 0.011
SOCMEAN 0.124 0.091 0.115 1.370 0.173

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Table 4.6.2 Model Summary
R 0.804
R SQUARE 0.646
ADJUSTED R SQUARE 0.633
Std. ERROR OF THE ESTIMATE 3.136
Interpretation:
The model summary in the table 4.6.2 interprets R, R2
, Adjusted R2
,
standard error of the estimate and the model fit.
From the table 4.6.1 the significant values of the constructs psychological
factor, emotional factor, behavioural factor, aspirational factor and social factor
are 0.008, 0.001, 0.000, 0.011 and 0.173 respectively. If the significance value
is less than 0.05 (the significance level with 95% confidentiality) we will reject
the null hypothesis and if the significant value is greater than 0.05 we will fail to
reject the null hypothesis (i.e.,) we will accept the null hypothesis. Here the
significance value is less than 0.05 for two constructs Emotional and behaviour.
The regression model implies that the movies have a significant impact
on psychology, behaviour, emotion, aspiration and social behaviour of the
viewers.
Impact = -1.168 + 0.332(PSYMEAN) + 0.374(EMEAN) + 0.477(BMEAN) +
0.297(ASMEAN) + 0.124(SOCMEAN)
From the regression equation given above it is found that there is a
highest impact of the movies on the behaviour of the viewers and it is followed
by emotions, psychology, aspiration and social behaviours.

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4.7 T-TEST
To study whether there is a same level of impact on the constructs with respect
to the gender of the respondent the t-test was carried out and the null hypothesis
and alternative hypothesis are formulated as follows:
Hypothesis:
H0: There is no significance difference in the impact on the young viewers
based on the gender.
Ha: There is a significance difference in the impact on the young viewers based
on the gender.
Table 4.7.1 T-test for testing the significance difference
S.NO Constructs Gender Mean F Sig T
Sig.
(2
tailed
)
1. PSYMEAN Male 7.9574 3.162 0.77 2.057 0.041
Female 7.0536 2.182 0.031
2. EMEAN Male 6.8191 1.262 0.263 1.593 0.113
Female 6.1250 1.608 0.111
3. BMEAN Male 11.2128 0.462 0.498 -.132 0.895
Female 11.3036 -.130 0.849
4. ASMEAN Male 9.4255 0.002 0.967 -.454 0.650
Female 9.6786 -.450 0.654
5. SOCMEAN Male 11.8617 6.067 0.015 -.456 0.649
Female 12.2321 -.438 0.662

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6. IMPMEAN Male 13.6383 0.001 0.975 0.443 0.658
Female 13.2500 0.443 0.659
Interpretation:
Significant value is greater than 0.05 so we will fail to reject the null hypothesis. Null
hypothesis is accepted. There is no significance difference significant impact on the
constructs.
The t-test results indicates that there is no significance difference of impact on the
emotional, behavioural, aspirational, social behaviour and the overall impact with respect to
the gender of the respondents. Whereas the psychological factor there is a significant
difference, as we all know there is always a huge difference between the male psychology
and female psychology. These results are driven from the significance value of the 2 tailed t-
test.

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CHAPTER-5
RESULTS AND DISCUSSIONS
5.1 FINDINGS:
Descriptive findings:
 The analysis was done using 151 respondents of students in and around
Kumaraguru College of Technology.
 From the descriptive tests used here the mean and standard deviation for all
the demographic factors like age and gender was calculated.
 The percentage of age group 15-20 is 13.9% ; 20-25 is 70.2% and 25 – 30 is
15.9%. The maximum respondents are from the age group 20-25.
 The percentage of male respondents is 62.9% and the percentage of female
respondents is 37.1%. Thus we have maximum number of male respondents.
 The mean for each constructs have been found. For the constructs
Psychological, Emotional, Behavioural, Aspirational, Social and Impact are
7.620, 6.50, 11.240, 9.520, 12 and 13.49 respectively.
 The standard deviations for each constructs have been found. For the
constructs Psychological, Emotional, Behavioural, Aspirational, Social and
Impact are 2.63, 2.59, 4.04, 3.29, 4.99 and 5.18respectively.
Inferential findings:
 The anovo test was carried out to find which age group has a high impact on
the various constructs. It was found that the age group 2 (21-25 years) is the
most affected group.
 From the correlation test it was found that the Behavioural factor and the
Social factor are strongly correlated with a correlation factor of 0.799.
 We could also found that there has been change in the behaviours of the
youngsters who watch movies regularly.

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 Regression is used to find the magnitude of the relation between the variables,
whereas the correlation is used to find whether the variables are related or not.
 From the regression model we have found that the movies have a significant
impact on psychology, behaviour, emotion, aspiration and social behaviour of
the viewers.
Impact = -1.168 + 0.332(PSYMEAN) + 0.374(EMEAN) +
0.477(BMEAN) + 0.297(ASMEAN) + 0.124(SOCMEAN)
 From the t test, we have found that there has been change in the psychological,
behaviour, emotion, aspiration and social behaviour but not respect to the
gender of the viewers. Thus the gender of the viewers has no significant effect
on the impact of the movies.
 From the responses to the questions asked it is found that about 33.11% of the
youngsters had answered they had tried smoking and liquor consumption
because they had seen the actors doing the same in movies. Thus this is a bad
impact from movies.
 From the questionnaire it is found that nearly 78.88% of the youngsters had
answered that the motivational movies are helping them to gain confidence.
Thus this is one of the good positive impact of the movies.
5.2 SUGGESTIONS:
From the study it is very clearly proved that in one or the other way movies have a
great impact on the viewers in both the positive and negative way. The social factors and
behavioral factors are highly affected, so we can suggest the future needs more good film to
bring the youngsters in the right path.
From the study it is found that the movies have some good impacts on the youngsters.
And it can be listed as follows:
 The motivational movies have improved the confidence among the youngsters
which will build them as a confident and successful person. So it can be
suggested that in colleges, hostels and schools they can play few motivational
movies in help the students gain confidence. It can also be implemented in
offices for the employees who shows poor performance and for those who feel

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bad for their performance.
 Another notable good impact of the movies among the youngsters is the love
and affection towards their families has been improved along with the care
shown to the elderly people and animals. So this in turn cultivates kindness
among the young people and help them to control anger, on the whole
violence is reduced. It can be suggested these kind of movies can be played in
prison where the crime rate can be reduced.
 The third positive impact of the movies is the students get inspired from the
science fictional films and thus they get a good awareness on the digital world.
It will improve their thinking and contributions to the scientific world.
 One of negative impact from movies is there is a high chance of students /
youngsters may involve in unhealthy habits like smoking, liquor consumption,
women objectification and unneeded luxurious life. So it is highly advisable in
such cases the viewers should only see movie as an entertainer and not as the
reflection of their own on the screen. It is suggested that these kind movies
should be avoided as much as possible.
 The suggestions to avoid this negative impact is the government policies can
be made stricter since the banners, cautions are not noticeable. Another
suggestion to the government while accepting a movie for release they can
have the limitations for the number of scenes which is promoting or picturing
the unhealthy habits. Depending on this the certifications can be provided to
the particular film.
5.3 CONCLUSION:
From the research we have concluded that movies are influencing its viewers both
positively and negatively. The positive aspect is that the viewers are motivated to do certain
activities that are good for the society and also some are getting aspired to become greater
self. As every coin has two side there are some negatives also, some youths are influenced
towards unethical activities. In future the moviemaker‟s should be more responsible and
should produce some good movies that influence the youngster‟s in a positive way.

29. 29
REFERENCE
[1] The MediaEval 2016 Emotional Impact of Movies Task
Dellandrea, Emmanuel 2016-11-22
[2] Smoking in movies and smoking initiation in adolescents: systematic review
and meta-analysis
Jo Leonardi-Bee1, PhD, Maryanne Nderi1, MPH, John Britton1, FRCP.
[3] The impact of emotions on the helpfulness of movie reviews
R. Ullaha, A. Zeba, W. Kima,b,
[4] ECONOMIC AND SOCIAL IMPACTS OF THE MEDIA
Stefano DellaVigna, Eliana La Ferrara
[5] Education through Movies: Improving teaching skills and fostering reflection among
students and teachers.
Blasco, Pablo Gonzalez, Scientific Director at SOBRAMFA- Brazilian Society of Family
Medicine.
Medical Education and Humanism
Moreto, Graziela, SOBRAMFA- Brazilian Society of Family Medicine. Medical Education
and
Humanism,
Blasco, Mariluz González, SOBRAMFA- Associate Professor.
Levites, Marcelo Rozenfeld, SOBRAMFA- Brazilian Society of Family Medicine. Medical
Education and Humanism,
Janaudis, Marco Aurelio, SOBRAMFA- Brazilian Society of Family Medicine. Medical
Educationand Humanism,
[6] Obesogenic Behavior and Weight-Based Stigma in Popular Children‟s Movies, 2012 to
2015
[7] Impact of Celebrity Personality on Buying Behavior of Teenagers
Piyush Arun Chavan
Dr. Sarang Shankar Bhola

30. 30
RESEARCH QUESTIONS:
GENERAL DETAILS:
1. Gender: (A) Male (B) Female
2. Age:
15-20
21-25
26-30
3. My favourite actor/actress is/are ___________________
Reason
(optional):__________________________________________________
__________
4. What of genres you prefer?
Romance
Action
Comedy
Horror
Family
Science fiction
Fiction/drama
Documentary
Thriller
Others: ________________
5. Which language movie do you prefer the most?
Tamil
English
Hindi
Telugu
Kannada
Others: _________________

31. 31
6. How many movies do you see per month?
Less than 1, 1, 2, 3, more than three
7. Do you repeatedly see the movie which you liked the most?
Yes
No
8. If yes how many times?
1, 2, 3, 4, 5, more than 5
9. Where will you prefer watching movies?
Theatres
Digital platform (Netflix, Amazon video, etc)
Others: ____________
10.Are you a member of any fan club?
Yes
Name of the club: ___________
No
Note for the following questions: 1- strongly agree ………..5- strongly Disagree
PSYCHOLOGICAL FACTORS 1 2 3 4 5
12 I prefer watching movie alone
13 I am depressed after watching a sad movie
14 I had a mood swing after watching a movie
EMOTIONAL FACTOR 1 2 3 4 5
15 I've cried while watching a sensitive scene in a movie
16 I've felt the fear while watching a horror movie
17 I‟ve forgotten all my sorrows while watching the comedy film
18
I‟ve had the feeling of confidence and hope after watching a
motivational film *
BEHAVIOURAL FACTORS 1 2 3 4 5
19 I've had got pierced (ear, nose or others) after seeing the actor/actress
20 I've tried a imitating the actor/actress after watching a movie
21
I've tried smoking / consumed alcohol after watching a movie
actor/actress involving in such activities
ASPIRATIONAL FACTOR 1 2 3 4 5
22
I've been inspired by seeing the motivational movies (eg: dhoni,
dhangal)
22 I've aspired to be fit after watching a movie star
23 I've aspired to act (in movies, short film, tik tok) after watching a

32. 32
movie
24
I've aspired to become a involved in any welfare activities after
watching a movie character
SOCIAL FACTOR 1 2 3 4 5
25
I will accept movie star as a political leader (by seeing the way he/she
acts in a movie)
26 I will watch my favourite star's movie on first day first show
27 I will support star worship
28 I will support fan fights
CHANGES AND IMPACTS 1 2 3 4 5
29
My love and affection towards my family had increased after watching
a movie
30 I've started caring old people/animals/children after watching a movie
31
I've got inspired by the actor and tried (succeeded) six pack or at least
hit the gym
32 I've changed my hair style after watching the actor/actress in a movie
33
I've started using many accessories (bracelets, chains, rings etc ) after
being influenced by the actor/actress