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    INTRODUCTION

    The newspaper has always been one of the most important providers of news and

    entertainment, despite of the rise of the Internet and of telecommunications as viable

    sources of information. People have different norms, values, and believes. When looking

    for a newspaper, people are interested in papers, which correspond to their beliefs; they

    are looking for a newspaper that they can identify themselves with. Consequently, it is

    important for newspapers to be able to tie customers to them, to deliver something that

    satisfies the customer, to give the customer an incentive to be loyal.

    Indian Newspaper Industry is witnessing high growth. Earlier all newspaper

    owners thought opportunity was within their own geographical area. But, in coming years

    Publishers will be spending over Rs 1410 crores to invade each others territories. The

    Newspaper market is bound to grow. New brands are coming into different territories.

    Unless the publishers recognize the preferences of readers, they could not succeed the

    hearts of the customers.

    According to a Price water house Coopers (PwC) survey for the year 2003 it is

    estimated that the news paper industry in India is around US$1.7 billion in 2003, and isexpected to grow to reach US$ 2.4billion in 2008. Publishers in India are ready to spend

    over Rs 1410 crores to invade each others territories.

    AN OVER VIEW OF INDIAN MARKET

    In fiscal year 2003-04, our gross domestic product (GDP) amounted to Rs 2,50,000 crore

    making us the 12th largest economy in the world.

    Indias economy is growing upwards of 8% over 2003-04. This makes us the second-

    fastest growing economy in the world, behind China.

    Over the past 10 years, India has registered the fastest growth among major

    democracies.It represents the fourth largest economy in terms of purchasing power

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    E P M L 121*

    Sakal group 120

    Deccan Chronicle 116

    Mid-Day Multimedia 93

    HOW INDIA SPENDS ON ADVERTISING

    THE NEW INDIAN EXPRESS (NIE)

    NIE group is a part of the Indian Express heritage. This great journalism of

    courage started in 1932 and slowly and gradually it got split into two, one looking at the

    north and west and the other south and Orissa.

    It has Newspapers in English (The New Indian express, The New Sunday

    Express) Tamil (Dinamani) & Kannada (Kannada Prabha); Magazines in Tamil (Tamilan

    Express) and Malayalam (Malayalam Vaarika). There are 19 printing centers spread

    across the four Southern States and Orissa. The New Indian Express group also has

    Internet Editions (indiavaarta.com) and an Event Management Company (Event Xpress)

    working under it.

    The New Indian Express Group was the first in India to conduct monthly

    discussion groups with different segments of readers throughout south India to identify

    3

    MEDIA EXPENDITURE IN INDIA (2004)

    50.5

    40

    2

    0

    6.5

    1

    PRESS

    TELEVISION

    RADIO

    CINEMA

    OUTDOOR

    INTERNET

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    their needs and their suggestions for improvement of the products. Growth vectors of this

    group can be identified as mainly, the evolving Product lines, New Editorial thrust,

    Innovations, Strategic Growth Initiatives, Delivery system, Operational excellence.

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    NEED OF STUDY

    Literacy of the public has gone up in India for the past decade to a great extent.

    New publications have come up in plenty in a short span. With the electronic mediagetting more and more popular and Internet has become a medium of information for the

    upper class segment and educated segment. New publications are yet to launch in

    Chennai like Times of India and DNA. Deccan chronicle has already launched. But the

    major English dailies are still The Hindu and The New Indian Express.

    There are a lot of new brands coming into different territories. In such a scenario,

    it is very important for the company to satisfy its readers so as to exist and win over the

    stiff competition. Indian express circulation in Chennai Circle has reached to 1.25 Lakh

    and still there is a long way to go. The company strongly believes that a loyal reader is

    the best advertiser for the companys brand. This has given the researcher an opportunity

    to explore and find out the loyalty level of readers.

    In the present study, the researcher will quantify the loyalty level of newspaper

    readers for the company. This factor is well accepted that each newspaper should develop

    its own Unique selling Proportion to retain its present readers and attract new ones. Thus,

    this study is an attempt to quantify the factors that help the company to understand the

    needs and wants of its readers and aggressively work on improving them.

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    OBJECTIVES

    Broad Objective:

    To study the factors affecting Loyalty of newspaper readers in Chennai

    Specific Objective:

    To analyze Editorial driven factors that directly affect the readers view points.

    To know the market driven factors in newspaper that readers prefer.

    To quantify the satisfaction level of the readers of a newspaper.

    To study the factors like Coverage of news, Availability, Overall Quality of the

    paper etc which are the prime deciding factor for their loyalty.

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    The respondents perception about coverage of news by the newspaper they prefer

    is same.

    Loyalty Based On Encouraging Friends & Relatives and Continuation with Same

    Paper is same

    SCOPE OF STUDY

    This study could be of greater help for NEW INDIAN EXPRESS in the following ways:

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    This study will help the organization to know the readers level of satisfaction on

    the services and news rendered by them.

    This study would help the organization to find out the readers loyalty for

    newspaper and areas of improvement for NIE.

    This study will help the company to decide upon the important factors both

    content wise (Editorial driven) and Product wise (Market driven) that directly

    affect the readers.

    Ultimately this study is intended to find out the loyalty level of readers towards the

    services and news offered.

    REVIEW OF LITRATURE

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    This section contains literature review on brand loyalty, and the Analytical Hierarchical

    Process.

    Brand Loyalty:

    Brands are more than logos. It conveys values.

    The individual buys brands because they speak trust," McManus said. "Only the

    brand fits the emotion of those experiences like a glove, and delivers on the promise." In

    light of this information, it is clear that brand loyalty can be an important factor in the

    success of a company. This is especially so in newspapers where studies show the

    emotional link readers create with newspapers.

    There are two different approaches for analyzing brand loyalty: the downstreamone, based on observing consistent purchases of a brand over a period of time and the

    upstream approach, which focuses on the motives that are behind a repeat purchasing of a

    brand.

    Brand loyalty for newspapers can be measured by using a simple questionnaire

    by asking two simple questions: What newspaper do you currently buy? and What

    newspaper do you plan to buy in the future? This data are then coded into the preferred

    newspaper to last purchased newspaper matrix and are used to calculate brand loyalty

    using the Preference Behavior Model.

    There are two aspects of brand loyalty, purchase loyalty and attitudinal loyalty.

    These can be seen as linking variables in the chain of effects from brand trust and brand

    affect to brand performance (market share and relative price). This includes product-

    level, category-related controls and brand-level controls. Results indicate that when the

    product- and brand-level variables are controlled for, brand trust and brand affect

    combine to determine purchase loyalty and attitudinal loyalty. Purchase loyalty, in turn,

    leads to greater market share, and attitudinal loyalty leads to a higher relative price for the

    brand.

    The Analytical Hierarchical Process:

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    Analytical Hierarchical Process relies on making pair-wise comparisons using a

    set of requirements on a scale of 1 9. One of the disadvantages of this model is that it

    tries to model requirements into a dominance hierarchy or network. Furthermore, there

    are restrictions on how many requirements should be used in the matrix and the use of the

    1 9 scale causes complications.

    Consistency measure is an essential component in the analytic hierarchy process

    (AHP), which is known to be a research method useful to both decision-making and

    empirical research in construction information and management. The measure helps to

    affirm that individual decision makers capture logical and reasonable preferences when

    making decisions. It also supports empirical research conducted by either practitioners or

    academic researchers to ensure that the questionnaires are not poorly answered. Measure

    of the consistency level is expected to be able to detect inconsistent responses. Results

    indicate that responses to the AHP method having acceptable consistency (the consistent

    group) were shown to be consistent with the responses from the simple rating method.

    This supports that the consistent responses are reliable. One tool of increasing the

    accuracy of AHP is known as the trust model, which improves performance of the

    decision making process.

    In news media, globalization of media organizations has brought accompanying

    debates about the proper education and professional standards for the journalists who

    work for them. Factors that shape media and news content, and include the individual

    journalist, news routines, organizational, extra-media, and ideological, with each carrying

    a different view of the professionalism issue.

    News as a special kind of social product requires something to have taken place in

    the first place, to be captured by news people and published by the media, and ultimately

    to be consumed by the audience. Every stage is crucial for the news manufacturing

    process. There is a triangular relationship among what editors regard as important news,

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    what the audience prefers and what the media actually cover. The convergence and

    divergence of opinions among the audiences and the editors and media performance in

    coverage of some specific types of stories in the global context have important

    implications for a better understanding of the processes and structure of international

    communication in society.

    News Media:

    Since newspaper readers form close bonds with their newspaper, the question

    arises whether publishers can dare make changes to the form or layout. Empirical

    evidence shows that market possibilities for innovation, obtained by analyzing the user-habits associated with paper-based newspapers and magazines are great. Results suggest

    that readers will adapt quickly to innovations.

    METHODOLOGY

    A. RESEARCH DESIGN

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    Research design used for the study is DESCRIPTIVE RESEARCH

    design. The researcher uses descriptive type of research to get valuable insights

    from the respondents about the level of loyalty on the service and news offered by

    the company to its readers.

    B. SAMPLING DESIGN

    Sampling design of the study consists of two steps:

    a) Selection of study area

    b) Selection of sample size

    a. Selection of the study area

    The selected area for conducting the study was Chennai. Since

    the company intends to find out the factors that influence theloyalty of newspaper readers, it was decided to select the

    Chennai as a study area.

    b. Selection of the sample size

    Since the population of the sample size is large and unknown,

    researcher followed non-probability sampling method. Thus

    convenience sampling was followed and 150 sample units was

    selected for the study. Out of this, 9 questionnaires were

    discarded based on unfilled and incomplete information. Finally

    the sample size of 141 samples are selected for the analysis and

    drawing the inference. Out of these, 2 respondents do not read

    newspapers at all. Thus the researcher is left with 139 sample

    size of eligible respondents, on the basis of which study is

    conducted.

    C. METHOD OF DATA COLLECTION

    The researcher used primary data collection method by Questionnaire method to

    collect data from the respondents. The questionnaire method was self administered by

    the readers.

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    D. FORMULATION OF THE QUESTIONNAIRE

    The information needed for the study was collected with the aid of a well

    structured questionnaire.

    The questionnaire consists of both closed ended and open ended questions.

    a) Closed ended questions

    In this type both questions and its respective answers are arranged in

    structured patterns. This includes:

    1. Dichotomous Questions

    Dichotomous questions are mainly used to collect Demographic

    and behavioral data where two answers logically exist. This is

    used in question no. 1- 7

    2. Multiple choice Questions

    Researcher uses multiple choice questions where the respondents

    are provided with the answers that help then to choose an

    alternative. This is used in the following Question No. - 8,9,10,

    12, 13,14,15,16 and 17.

    b) Open ended questions

    Question No. 8, 11 and 18 are open ended question wherein respondents

    are asked to write about the details of specific choice in the product and

    service of a newspaper.

    E. PERIOD OF STUDY

    The study has been undertaken for three months from 20th December 2005 to 10th

    April 2006. During the period, the researcher has worked extensively in the field of

    space marketing to bring out this work with utmost sincerity.

    F. PILOT STUDY

    The pilot study is requisite for any survey. It helps to remove unnecessary

    questions and questions which are irritative in nature to the respondents. Before

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    going to the actual field work, the rough draft of the Question was pre-tested with

    15 respondents which resulted in the necessary modifications and improvements.

    G. STATISTICAL DESIGN

    To draw the inferences from the collected data, appropriate conventional and non

    conventional statistical techniques ware used. The following techniques re used

    with the help of the Statistical Package for Social Sciences (SPSS) software for

    the analysis.

    a. CONVENTIONAL TECHNIQUES

    The researcher under conventional statistical techniques uses

    Percentage analysis and Chi- Square test

    i. Percentage analysis: It is used for nominal data that is

    Dichotomous and Multiple Choice single response and Multiple

    Choice Multi Response Questions.

    ii. Chi- Square test: It is a non- parametric test.

    b. NON- CONVENTIONAL TECHNIQUES

    The researcher has used non- conventional statistical techniques such

    as One Way Anova and Factor Analysis.

    LIMITATIONS OF THE STUDY

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    One of the major limitations was the time factor. Since the time was very limited, it is

    very difficult to study large sample size.

    The study has been conducted only in Chennai. Hence the conclusion would not be a

    generalized one.

    All the views and opinions provided by the respondents are subjected to personal

    bias.

    In spite of all these above limitations, the study could provide invaluable information,

    which might be taken into consideration both professionally and academically.

    TABLE 4.1: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    GENDER

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    Gender No. of Respondents Percentage

    Male 103 73.05

    Female 38 26.95

    Total 141 100.00

    Table 4.1 explains the gender details of the respondents, It is observed that out of 141

    respondents, 73.05 per cent are male and remaining 26.95 per cent are female.

    The above data is shown in Graph 4.1

    GRAPH 4.1: RESPONDENTS ON THE BASIS OF GENDER

    GENDER

    Female

    Male

    TABLE 4.2: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF AGE

    Age No. of Respondents Percentage

    Less than 15 16 11.35

    15-25 61 43.26

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    25-35 47 33.33

    Above 40 17 12.06

    Total 141 100.00

    Table 4.2 explains the age details of the respondents. It is observed that out of 141

    respondents, 11.35 per cent are less than 15 years, 43.26 per cent lie between the age of

    15 to 25 years, 33.33 Per cent respondents are between 25 and 35 years and remaining

    12.06 per cent are above 40 years of age.

    The above data is shown in Graph 4.2

    GRAPH 4.2: RESPONDENTS ON THE BASIS OF AGE

    AGE

    Above 40

    25-35

    15-25

    Less than 15

    TABLE 4.3: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    OCCUAPTION

    Occupation No. of Respondents Percentage

    Student 31 21.99

    Businessman 44 31.21

    Government Employees 47 33.33

    White-Collar MNC Employees 19 13.48

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    Total 141 100

    Table 4.3 explains the occupation details. It is observed that out of 141 respondents,

    21.99 per cent are students, 31.21 per cent are businessman, 33.33 per cent respondents

    government employees and remaining 13.48 per cent are white collar MNC working

    people.

    The above data is shown in Graph 4.3

    GRAPH 4.3: RESPONDENTS ON THE BASIS OF OCCUPATION

    OCCUPATION

    White-CollarMNC

    Employees

    Government

    Employees

    Businessman

    Student

    TABLE 4.4: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    ANNUAL FAMILY INCOME

    Family income No. of Respondents Percentage

    Less than 1 lakh 31 21.991-3 lakh 54 38.30

    3-5 lakh 31 21.99

    Above 5 lakh 25 17.73

    Total 141 100

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    Table 4.4 represents the Annual family income details of the respondents. It is observed

    that out of 141 respondents, 21.99 per cent of the respondents have less than Rs.1 Lakh of

    annual income, 38.30 per cent of them have income lying between Rs.1 and Rs.3 lakh,

    21.99 per cent of the respondents fall under the income between Rs.3 and Rs.5 lakh and

    remaining 17.73 per cent have annual family income of more than Rs.5 Lakh.

    The above data is shown in Graph 4.4

    GRAPH 4.4: RESPONDENTS ON THE BASIS OF ANNUAL FAMILY INCOME

    ANNUAL FAMILY INCOME

    Above 5 lakh

    3-5 lakh

    1-3 lakh

    Less than 1

    lakh

    TABLE 4.5: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THEIR

    HABIT OF READING NEWSPAPER

    Habit of Reading Newspaper No. of Respondents Percentage

    Yes 139 98.58

    No 2 1.42

    Total 141 100

    The information on habit of reading newspaper is shown in the Table 4.5. It is observed

    that out of 141 respondents, 98.58 per cent of the respondents read newspapers and

    remaining 1.42 Per cent do not read any newspaper.

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    The above data is shown in Graph 4.5

    GRAPH 4.5: RESPONDENTS ON THE BASIS OF HABIT OF NEWSPAPER

    READING

    HABIT OF NEWSPAPER READING

    No

    Yes

    As two respondents do not read newspapers at all, thus now onwards the researcher has

    decided upon a sample size of 139 respondents.

    TABLE 4.6: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THEIR

    FREQUENCY OF READING NEWSPAPER

    Frequency of Reading Newspaper No. of Respondents Percentage

    Regularly 83 59.71

    Occasionally 56 40.29

    Total 139 100

    Table 4.6 explains the frequency of reading newspaper by the respondents. It is observed

    that out of 139 respondents, 59.71 per cent of the respondents read newspapers regularly

    and only 40.29 Per cent of the respondents read it occasionally.

    The above data is shown in Graph 4.6

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    GRAPH 4.6: RESPONDENTS ON THE BASIS OF FREQUENCY OF READING

    NEWSPAPERS

    FREQUENCY OF READING NEWSPAPERS

    Occasionally

    Regularly

    TABLE 4.7: CLASSIFICATION OF RESPONDENTS ON THE BASIS OFREADING HABIT IN TERMS OF YEARS

    Started News Paper Reading Since No. of Respondents Percentage

    Less than 1 Year 21 15.11

    1-2 yrs 36 25.90

    2-5 yrs 50 35.97

    5-10 yrs 20 14.39

    More than 10 yrs 12 8.63

    Total 139 100

    Table 4.7 represents the respondents Reading Habit in Terms of years. It is noticed that

    out of 139 respondents, 15.11 per cent respondents read news paper for the past 1 year or

    less, 25.90 per cent of respondents have started reading news paper between 1-2 years

    back, 35.97 percent of respondents started 2-5 years back, 14.39 per cent of respondents

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    started between 5-10 years back, and 8.63 percent of respondents started this habit 10

    years back or so.

    The above data is shown in Graph 4.7

    GRAPH 4.7: RESPONDENTS ON THE BASIS OF NO. OF YEARS SINCE THEY

    STARTED READING NEWSPAPERS

    STARTED READING NEWSPAPERS IN YEARS

    More than 10

    yrs

    5-10 yrs

    2-5 yrs

    1-2 yrs

    Less than 1

    Year

    TABLE 4.8: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF FAMILY MEMBERS FOR THEIR NEWSPAPER READING

    HABIT

    Family Member influence No. of Respondents Percentage

    Most Influenced 31 22.30

    More Influenced 33 23.74

    Influenced 28 20.14

    Less influenced 24 17.27

    Least influenced 23 16.55

    Total 139 100

    TABLE 4.9: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF FRIENDS FOR THEIR NEWSPAPER READING HABIT

    Friends influence No. of Respondents Percentage

    Most Influenced 31 22.30

    More Influenced 36 25.90

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    Influenced 23 16.55

    Less influenced 22 15.83

    Least influenced 27 19.42

    Total 139 100

    Table 4.8 explains the influence of Family Members in on reading Newspaper. It is

    observed that out of 139 respondents 22.30 per cent are most influenced by family, 23.74

    per cent are more influenced, 20.14 per cent are just influenced, 17.27 per cent are less

    influenced and 16.55 per cent are least influenced by their families.

    Table 4.9 explains the influence of Friends on reading Newspaper, it is observed that out

    of 139 respondents 22.30 per cent are most influenced, 25.90 per cent are more

    influenced, 16.55 per cent are just influenced, 15.83 per cent are less influenced and

    19.42 per cent are least influenced by their friends.

    TABLE 4.10: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF PROFESSION FOR THEIR NEWSPAPER READING HABIT

    Profession influence No. of Respondents Percentage

    Most Influenced 21 15.11

    More Influenced 27 19.42

    Influenced 29 20.86

    Less influenced 35 25.18

    Least influenced 27 19.42Total 139 100

    TABLE 4.11: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF RELATIVES FOR THEIR NEWSPAPER READING HABIT

    Relatives influence No. of Respondents Percentage

    Most Influenced 34 24.46

    More Influenced 35 25.18

    Influenced 24 17.27

    Less influenced 25 17.99

    Least influenced 21 15.11

    Total 139 100

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    Table 4.10 explains the influence of Profession on reading Newspaper, it is

    observed that out of 139 respondents 15.11 per cent are most influenced, 19.42 per cent

    are more influenced, 20.86 per cent are just influenced, 25.18 per cent are less influenced

    and 19.42 per cent are least influenced by their profession.

    Table 4.11 explains the influence of Relatives on reading Newspaper, it is

    observed that out of 139 respondents 24.46 per cent are most influenced, 25.18 per cent

    are more influenced, 17.27 per cent are just influenced, 17.99 per cent are less influenced

    and 15.11 per cent are least influenced by the relatives.

    TABLE 4.12: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF SCHOOLS FOR THEIR NEWSPAPER READING HABIT

    School influence No. of Respondents PercentageMost Influenced 29 20.86

    More Influenced 22 15.83

    Influenced 29 20.86

    Less influenced 29 20.86

    Least influenced 30 21.58

    Total 139 100

    TABLE 4.13: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF COLLEGE FOR THEIR NEWSPAPER READING HABIT

    College influence No. of Respondents Percentage

    Most Influenced 32 23.02

    More Influenced 31 22.30

    Influenced 28 20.14

    Less influenced 31 22.30

    Least influenced 17 12.23

    Total 139 100

    TABLE 4.14: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    INFLUENCE OF COMPETITIVE FORCES FOR THEIR NEWSPAPER

    READING HABIT

    Competitive forces influence No. of Respondents Percentage

    Most Influenced 39 28.06

    More Influenced 27 19.42

    Influenced 21 15.11

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    Less influenced 35 25.18

    Least influenced 17 12.23

    Total 139 100

    Table 4.12 explains the influence of school on reading Newspaper, it is

    observed that out of 139 respondents 20.86 per cent of respondents are Most Influenced ,

    15.83 per cent of respondents are more influenced, 20.86 per cent are influenced, 20.86

    per cent are less influenced and 21.58 are least influenced by their respective schools.

    Table 4.13 explains the influence of College on reading Newspaper; it is

    observed that out of 139 respondents 32 respondents say that they are Most Influenced ,

    31 respondents are More Influenced, 28 are only influenced, 31 are less influenced and

    17 are least influenced by their colleges.

    Table 4.14 explains the influence of Competitive Force on reading

    Newspaper; it is observed that out of 139 respondents 28.06 percent respondents are

    Most Influenced , 19.42 per cent are More Influenced, 15.11 are only influenced, 25.18

    are less influenced and 12.23 are least influenced by the competitive forces around

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    In order to test, Factors that influence Respondents to read News Paper is same, one way

    ANOVA is applied.

    H0: The Respondents opinion on influences to read Newspaper is same

    H1: The Respondents opinion on influences to read Newspaper is different

    Table 4.15: FACTORS THAT INFLUENCE READERS TO READ NEWSPAPER

    Factors Average Variance

    Family Members 2.834532 1.994161Friends 2.841727 2.076217

    Profession 3.143885 1.819727Relatives 2.741007 1.961422School 3.064748 2.075487College 2.784173 1.822646Competitive force 2.741007 2.0049

    F-Ratio:

    Source of Variation Sum Of

    Squares

    Degrees

    of

    Freedom

    Mean

    Sum Of

    Squares

    Calculated

    Value(F)

    Tabulated

    Value(F

    crit)Between Groups 21.56012 6 3.593354 1.828737 2.10795

    Within Groups 1898.129 966 1.964937

    Total 1919.69 972

    Since the calculated value (F=1.828737) is less than the tabulated value

    (2.10795), the null hypothesis is accepted. Hence the factors that influence readers to read

    Newspaper are same viz., Family Members, Friends, profession, Relatives, School,

    College and Competitive force.

    It is confirmed with mean scores of the Factors that influence the readers of the

    Newspaper, Family Members (2.834532) Friends (2.841727), Profession (3.143885),

    Relatives (2.741007), School (3.064748), College (2.784173), Competitive Force

    (2.741007)

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    TABLE 4.16: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    LANGUAGE OF NEWSPAPER READ

    Type Of News Paper Read No. of Respondents Percentage

    English 62 44.60

    Vernacular 11 7.91Both 51 36.69

    Anyone 15 10.79

    Total 139 100

    The details on the Language of newspaper read by the respondents are

    shown in the Table 4.16. It is observed that out of 139 respondents, 44.60 percent of

    respondents read English news paper, 7.91 percent of respondents read Vernacular

    newspaper, 36.69 percent read both the news paper and 10.79 percent of the respondents

    read any one news paper.

    The above data is shown in Graph 4.16

    GRAPH 4.16: RESPONDENTS ON THE BASIS OF NEWSPAPERS LANGUAGE

    LANGUAGE OF NEWSPAPER READ

    Both

    Vernacular

    English

    Anyone

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    Chi-Square test is applied to test the respondents Occupation and the language of

    Newspaper read

    H0: There is no significant relationship between Occupation and the type of Newspaper

    read.

    H1: There is a significant relationship between Occupation and the type of Newspaper

    read.

    TABLE 4.17: OCCUPATION OF RESPONDENTS AND THE LANGUAGE OF

    NEWSPAPER THEY READ

    Type of News Paper read

    Occupation English Vernacular Both Any One Total

    Student 21 14 17 10 62

    Business Man 1 1 5 4 11

    Government Job 8 20 18 5 51

    White Collar-MNC 1 7 7 0 15

    Total 31 42 47 19 139

    CHI-SQUARE TEST 21.742*

    Phi test 0.395*

    Cramers V test 0.228*

    Since the calculated value 21.742 is statistically not significant at 5 percent, the

    null hypothesis is not accepted. Therefore it is concluded that there is a significant

    relationship between the occupation of the respondents and the type of news paper that

    they read. It is also observed from the phi and Cramers V test that there is a moderate

    relationship between the above said items. The values are also statistically significant.

    TABLE 4.18: ANNUAL FAMILY INCOME OF RESPONDENTS AND THE

    LANGUAGE OF NEWSPAPER THEY READ

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    CHI-SQUARE TEST:

    Chi-Square test is applied to test the respondents Annual Family Income and the

    language of Newspaper read

    H0: There is no significant relationship between respondents Annual Family Income and

    the type of Newspaper read.

    H1: There is a significant relationship between respondents Annual Family Income and

    the type of Newspaper read.

    Type of News Paper read

    Income English Vernacula

    r

    Both Any one Total

    < 1 lakh 15 23 15 9 62

    1-3 lakh 2 5 2 2 11

    3-5 lakh 12 17 9 13 51

    > 5 lakh 2 8 4 1 15

    Total 31 53 30 25 139

    CHI-SQUARE TEST 6.029*

    Phi test 0.208*

    Cramers V test 0.120*

    The calculated chi-square value 6.029 is statistically significant at 0.05 level and the null

    hypothesis is accepted. Hence the Annual income of the Family of the respondents and

    the type of News paper read is not related. It is also observed from the phi and Cramers

    V test that there is a low level of relationship between types of news paper read and the

    respondents annual family income. The values are also statistically significant

    CHI-SQUARE TEST:

    Chi-Square test is applied to test the respondents habit of reading newspaper in term of

    years and the language of Newspaper read

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    H0: There is no significant relationship between respondents habit of reading newspaper

    in term of years and the language of Newspaper read.

    H1: There is a significant relationship between respondents habit of reading newspaper

    in term of years and the language of Newspaper read.

    TABLE 4.19: HABIT OF READING NEWSPAPER IN TERM OF YEARS AND

    THE LANGUAGE OF NEWSPAPER READ

    Type of News Paper read

    Income English Vernacular Both Any one Total

    < 1 lakh 9 13 21 10 9

    1-3 lakh 3 2 4 2 0

    3-5 lakh 7 17 17 7 3

    > 5 lakh 2 4 8 1 0

    Total 21 36 50 20 12

    CHI-SQUARE TEST 10.602*

    Phi test 0.276*

    Cramers V test 0.159*

    Since the calculated value 10.602 is statistically significant at 5 percent, thus the null

    hypothesis is accepted. Therefore the habit of reading newspaper in terms of years of the

    respondents and the type of News paper read is not related. It is also observed from the

    phi and Cramers V test that there is a moderate relationship between the above said

    items. The values are also statistically significant

    TABLE 4.20: RESPONDENTS OPINION ON THE BASIS OF ENGLISH DAILY

    READ

    Type Of News Paper Read No. of Respondents Percentage

    Indian Express 30 21.58

    The Hindu 53 38.13

    The Times Of India 24 17.27

    Deccan Chronicle 21 15.11

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    Others English Daily 11 7.91

    Total 139 100

    Table 4.20 explains the English Daily preferred by the respondents. It is observed that out

    of 139 respondents, 21.58 per cent of respondents read Indian Express, 38.13 per cent

    read The Hindu, 17.27 percent read The Times of India, and 15.11 percent read Deccan

    Chronicle and 7.91 percent other English Daily.

    The above data is shown in Graph 4.20

    GRAPH 4.20: RESPONDENTS ON THE BASIS OF THE ENGLISG DAIRY

    READ BY THE READERS

    ENGLICH DAIRY READ

    Others

    Deccan

    Chronicle

    The Times Of

    IndiaThe Hindu

    Indian

    Express

    CHI-SQUARE TEST:

    H0: There is no significant relationship between age of respondent and English Daily

    read.

    H1: There is a significant relationship between age of respondent and English Daily read

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    TABLE 4.21: AGE OF RESPONDENTS AND THE ENGLISH DAILY THEY

    READ

    English Daily Read

    Indian

    Express

    Hindu TOI Deccan

    Chronicle

    Other Total

    < 15 Years 3 6 3 1 3 16

    15 25 Years 18 25 6 7 4 60

    25 40 Years 7 18 12 7 3 47

    > 40 Years 2 4 3 6 1 16

    Total 30 53 24 21 11 139

    CHI-SQUARETEST

    17.573*

    Phi test 0.356*

    Cramers V test 0.206*

    Since the calculated value 17.573 statistically significant at 5 per cent, therefore the null

    hypothesis is accepted. Hence the English daily read and the Age of respondent is not

    related. It is also observed from the phi and Cramers V test that there is a moderate

    relationship between the above said items. The values are also statistically significant

    CHI-SQUARE TEST:

    Chi-Square test is applied to test the respondents Occupation and the English Daily read

    H0: There is no significant relationship between Occupation and the English Daily read

    TABLE 4.22: OCCUPATION OF RESPONDENTS AND THE ENGLISH DAILY

    THEY READ

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    English Daily Read

    Indian

    Express

    Hindu TOI Deccan

    Chronicle

    Other Total

    Student 9 12 3 4 3 31

    Businessman 8 15 9 8 2 42

    Government Job 11 18 9 7 2 47

    White-Collar MNC 2 8 3 2 4 19

    Total 30 53 24 21 11 139

    CHI-SQUARE TEST 10.178*

    Phi test 0.271*

    Cramers V test 0.156*

    Since the calculated value 10.178 is less than the tabulated value (21.03) at 5 percent of

    significance, the null hypothesis is accepted. Therefore the English daily read and the

    Occupation of respondent is not related. It is also observed from the phi and Cramers V

    test that there is a moderate relationship between the above said items. The values are

    also statistically significant

    CHI-SQUARE TEST:

    Chi-Square test is applied to test the respondents Annual Family Income and the English

    Daily read

    H0: There is no significant relationship between Annual Family income and the English

    Daily read

    H1: There is significant relationship between Annual Family income and the English

    Daily read

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    TABLE 4.23: ANNUAL FAMILY INCOME OF RESPONDENTS AND THE

    ENGLISH DAILY THEY READ

    English Daily Read

    Annual Income Indian

    Express

    Hindu TOI Deccan

    Chronicle

    Other Total

    < 1 Lakh 8 14 4 3 2 31

    1 3 Lakh 15 17 5 13 3 53

    3 5 Lakh 5 12 6 4 3 30

    > 5 Lakh 2 10 9 1 3 25

    Total 30 53 24 21 11 139

    CHI-SQUARE TEST 19.175*

    Phi test 0.371*

    Cramers V test 0.214*

    Since the calculated value 19.175 is less than the tabulated value: 21.03 at 5 percent of

    significance, the null hypothesis is accepted. Hence the English daily read and the Annual

    Family income of respondent is not related. It is also observed from the phi and Cramers

    V test that there is a moderate relationship between the above said items. The values are

    also statistically significant

    CHI-SQUARE TEST

    Chi-Square test is applied to test the respondents Frequency of Reading Newspaper

    and the English Daily read

    H0: There is no significant relationship between Frequency of News Paper Read and the

    English Daily read

    H1: There is significant relationship between Frequency of News Paper Read and the

    English Daily read

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    TABLE 4.24: RESPONDENTS FREQUENCY OF READING NEWSPAPER AND

    ENGLISH DAILY THEY READ

    English Daily Read

    Frequency Of News

    Paper Read

    Indian

    Express

    Hindu TOI Deccan

    Chronicle

    Other Total

    Regularly 19 37 10 9 8 83

    Occasionally 11 16 14 12 3 56

    Total 30 53 24 21 11 139

    CHI-SQUARE TEST 8.914*

    Phi test 0.253*

    Cramers V test 0.253*

    Since the calculated value 8.914 is less than the tabulated value: 9.49 at 5 percent of

    significance we reject the null hypothesis. Hence the English daily read and the Annual

    Family income of respondent is related. It is also observed from the phi and Cramers V

    test that there no relationship between the above said items. The values are also

    statistically significant

    CHI-SQUARE TEST:

    Chi-Square test is applied to test the respondents language of Newspaper read and

    number of years since they started reading news paper

    H0: There is no significant relationship between language of Newspaper read and number

    of years since they started reading news paper

    H1: There is significant relationship between language of Newspaper read and number of

    years since they started reading news paper

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    TABLE 4.25: READING HABIT OF RESPONDENTS INTERMS OF YEARS

    AND ENGLISH DAILY THEY READ

    Since the calculated value 11.245 is more than the critical value, the null hypothesis is

    not accepted. Therefore the language of Newspaper read and number of years since they

    started reading news paper are not related. It is also observed from the phi and Cramers

    V test that there is a no significant relationship between the above said items.

    TABLE 4.26: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    PREFERRED PAGE IN THE NEWS PAPER

    Type Of News Paper Read No. of Respondents Percentage

    Sports 23 16.55

    Political 33 23.74Film 28 20.14

    Business 17 12.23

    Supplements 15 10.79

    Only Advertisements 10 7.19

    No Preference 6 4.32

    Others 7 5.04

    Years Indian

    Express

    Hindu TOI Deccan

    Chronicle

    Other Total

    < 1 year 6 7 5 3 0 21

    1-2 years 7 16 4 7 2 36

    2-5 years 12 16 5 5 7 50

    5-10 years 3 9 3 3 1 20

    > 10 years 2 5 3 3 1 12

    Total 30 53 21 21 11 139CHI-SQUARE TEST 11.245*

    Phi test 0.284*

    Cramers V test 0.142*

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    Total 139 100

    Table 4.26 shows details of the page preferred by the respondents in newspaper. It is

    observed that out of 139 respondents, 16.55 per cent respondents prefer sports page,

    23.74 per cent prefers political page, 20.14 per cent readers prefer film, and 12.23 per

    cent respondents like business page, 10.79 per cent of readers like the supplement issue,

    and 7.19 per cent only looks for advertisements and 4.32 have no preferences. Remaining

    5.04 per cent respondents have other preferences like editorial page, some specific

    columns in the paper etc.

    The above data is shown in Graph 4.26

    GRAPH 4.26: RESPONDENTS ON THE BASIS OF THEIR PREFERENCE OF

    PAGES IN THE NEWSPAPERS

    PREFERENCE OF PAGES

    Only

    Advertiseme

    nt

    No

    PreferenceOthers

    Supplements

    Business Film

    Political

    Sports

    TABLE 4.27: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF UPDATING

    KNOWLEDGE

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    TABLE 4.28: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF PRESENTATION OF

    NEWS

    TABLE 4.29: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF ISSUES ROSE

    Details of Updating Knowledge No. of Respondents Percentage

    Excellent 16 11.51

    Good 21 15.11

    Satisfactory 32 23.02

    Poor 51 36.69Very poor 19 13.67

    Total 139 100

    Presentation of News No. of Respondents Percentage

    Excellent 11 7.91

    Good 17 12.23

    Satisfactory 26 18.71

    Poor 43 30.94

    Very poor 42 30.22

    Total 139 100

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    Table 4.27 explains respondents preferred Newspaper in terms of Updating

    Knowledge, it is observed that out of 139 respondents 11.51per cent feel that their

    preferred paper is Excellent, 15.11 per cent feel that its Good, 23.02 per cent are Satisfied

    with their paper, 36.69 per cent feel that its poor and 13.67 per cent respondents say that

    its Very poor

    Table 4.28 explains respondents preferred Newspaper in terms of

    Presentation of News, it is observed that out of 139 respondents 7.91 per cent feel that

    their preferred paper is Excellent in terms of Presentation, 12.23 per cent feel that its

    Good, 18.71 per cent are Satisfied with the presentation style, 30.94 per cent feel that its

    poor and 30.22 per cent respondents say that its Very poor

    Table 4.29 explains respondents preferred Newspaper in terms of Issues

    Rose, it is observed that out of 139 respondents 6.47 per cent feel that their preferred

    paper is Excellent in terms of Raising Various Issues, 9.35 per cent feel that its Good,19.42 per cent are Satisfied, 33.81 per cent feel that its poor and 30.94 per cent

    respondents say that its Very poor

    Issues Raised by the Paper No. of Respondents Percentage

    Excellent 9 6.47

    Good 13 9.35

    Satisfactory 27 19.42

    Poor 47 33.81

    Very poor 43 30.94

    Total 139 100

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    TABLE 4.30: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF PRESENTING FACTS

    TABLE 4.31: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF SUPPORTING HUMAN

    RIGHTS

    TABLE 4.32: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    IMPORTANCE OF NEWS PAPER ON THE BASIS OF SUPPLIMENTS THEY

    BRING OUT

    Presenting facts by paper No. of Respondents Percentage

    Excellent 11 7.91Good 29 20.86

    Satisfactory 45 32.37

    Poor 48 34.53

    Very poor 6 4.32

    Total 139 100

    Supporting human rights No. of Respondents Percentage

    Excellent 18 12.95

    Good 19 13.67

    Satisfactory 24 17.27

    Poor 44 31.65

    Very poor 34 24.46

    Total 139 100

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    Table 4.30 explains respondents preferred Newspaper in terms of presenting

    facts, it is observed that out of 139 respondents 7.91 per cent feel that their preferred

    paper is Excellent in terms of Presenting Facts, 20.86 per cent feel that its Good, 32.37

    per cent are Satisfied, 34.53 per cent feel that its poor and 4.32 per cent respondents say

    that its Very poor

    Table 4.31 explains respondents preferred Newspaper in terms of

    supporting Human Rights it is observed that 12.95 per cent feel that their preferred paper

    is Excellent in terms of Supporting Human Rights, 17.27 per cent feel that its Good,

    31.65 per cent are Satisfied, 24.46 per cent feel that its poor and 24.46 per cent

    respondents say that its Very poor

    Table 4.32 explains respondents preferred Newspaper in terms of

    Supplements they Bring out, it is observed that, 10.07 per cent feel that their preferred

    paper is Excellent in terms of bringing Supplements, 23.74 per cent feel that its Good,

    25.90 per cent are Satisfied, 30.94 per cent feel that its poor and 9.35 per cent

    respondents say that its Very poor

    TABLE 4.33: CLASSIFICATION OF RESPONDENTS ON THE BASIS OFIMPORTANCE OF NEWS PAPER ON THE BASIS OF PAPER QUALITY

    Supplement issues the newspaper

    come up with

    No. of

    Respondents

    Percentage

    Excellent 14 10.07

    Good 33 23.74

    Satisfactory 36 25.90

    Poor 43 30.94

    Very poor 13 9.35

    Total 139 100

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    Table 4.33 explains respondents preferred Newspaper in terms of Paper

    Quality, it is observed that 18.71 per cent feel that their preferred paper is Excellent in

    terms of Paper Quality, 38.85 per cent feel that its Good, 19.42 per cent are Satisfied,

    14.39 per cent feel that its poor and 8.63 per cent respondents say that its Very poor

    Table 4.34 explains respondents preferred Newspaper in terms of Paper

    Layout, it is observed that 18.71 per cent feel that their preferred paper is Excellent in

    terms of Paper Layout, 26.62 per cent feel that its Good, 30.94 per cent are Satisfied,

    14.39 per cent feel that its poor and 9.35 per cent respondents say that its Very poor

    Table 4.35 explains respondents preferred Newspaper in terms of Type &

    Font used, it is observed that out of 139 respondents 31 respondents feel that their

    preferred paper is Excellent in terms of Type & Font used, 37 respondents feel that its

    Good, 47 respondents are Satisfied, 18 respondents feel that its poor and 6 respondents

    say that its Very poor

    TABLE 4.36: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    THEIR PREFERENCE OF COLOR PAGES IN THE NEWSPAPER

    Type and size of font used No. of Respondents Percentage

    Excellent 31 22.30

    Good 37 26.62

    Satisfactory 47 33.81

    Poor 18 12.95

    Very poor 6 4.32

    Total 139 100

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    TABLE 4.37: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    THEIR PREFERENCE OF CLARITY IN THE PICTURE IN NEWSPAPERS

    TABLE 4.38: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    THEIR PREFERENCE ABOUT OVERALL NEWSPAPER QUALITY

    Color pages in newspaper No. of Respondents Percentage

    Excellent 44 31.65

    Good 27 19.42

    Satisfactory 36 25.90

    Poor 23 16.55

    Very poor 9 6.47

    Total 139 100

    Color pages in newspaper No. of Respondents Percentage

    Excellent 52 37.41

    Good 39 28.06

    Satisfactory 21 15.11

    Poor 18 12.95

    Very poor 9 6.47

    Total 139 100

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    Table 4.36 explains respondents preferred Newspaper in terms of Colour

    Pages included, it is observed that 31.65 per cent of respondents feel that their preferred

    paper is Excellent in terms of Colour Pages included in the News Print, 19.42 per cent

    feel that its Good, 25.90 per cent are Satisfied, 16.55 per cent feel that its poor and 6.47

    per cent respondents say that its Very poor

    Table 4.37 explains respondents preferred Newspaper in terms of Clarity in

    Picture, it is observed that 37.41 per cent feel that their preferred paper is Excellent in

    terms of Clarity of Picture, 28.06 per cent feel that its Good, 15.11 per cent are Satisfied,

    12.95 per cent feel that its poor and 6.47 per cent respondents say that its Very poor

    Table 4.38 explains satisfaction level among the respondents in terms of

    Overall News Paper Quality included, it is observed that 33.09 per cent of respondents

    feel that their preferred paper is Excellent in terms of Overall Quality, 23.02 per cent feel

    that its Good, 20.86 per cent are Satisfied, 13.67 per cent feel that its poor and 9.35 per

    cent respondents say that its Very poor

    Overall newspaper quality No. of Respondents Percentage

    Excellent 46 33.09

    Good 32 23.02

    Satisfactory 29 20.86

    Poor 19 13.67

    Very poor 13 9.35

    Total 139 100

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    TABLE 4.39: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    THEIR PREFERENCE ABOUT NEWSPAPER CONFESSING THEIR

    MISTAKES

    TABLE 4.40: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    RELIABILITY OF INFORMATION PROVIDED

    TABLE 4.41: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    ACCURACY OF INFORMATION PROVIDED

    Confessing mistakes done No. of Respondents PercentageExcellent 42 30.22

    Good 32 23.02

    Satisfactory 27 19.42

    Poor 25 17.99

    Very poor 13 9.35

    Total 139 100

    Reliability of information No. of Respondents Percentage

    Excellent 48 34.53

    Good 38 27.34

    Satisfactory 19 13.67

    Poor 22 15.83

    Very poor 12 8.63

    Total 139 100

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    Table 4.39 explains satisfaction level among the respondents in terms of

    their preferred Newspaper in terms of Confessing the mistakes, it is observed that 30.22

    per cent of respondents feel that their preferred paper is Excellent in terms of Overall

    Quality, 23.02 per cent feel that its Good, 20.86 per cent are Satisfied, 13.67 per cent feel

    that its poor and 9.35 per cent respondents say that its Very poor

    Table 4.40 explains satisfaction level among the respondents in terms of

    Reliability of Information their preferred Newspaper provided, it is observed that 34.53

    per cent of respondents feel that their preferred paper is Excellent in terms of Reliable

    Information they provide, 27.34 per cent feel that its Good, 13.67 per cent are Satisfied,

    15.83 per cent feel that its poor and 8.63 per cent respondents say that its Very poor

    Table 4.41 explains satisfaction level among the respondents in terms of

    Accuracy of preferred Newspaper, it is observed that 33.09 per cent of respondents feel

    that their preferred paper is Excellent in terms of Accuracy of information provided,

    34.53 per cent feel that its Good, 15.83 per cent are Satisfied, 10.79 per cent feel that its

    poor and 5.76 per cent respondents say that its Very poor

    TABLE 4.42: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    ACCURATE SERVICE PROVIDED BY THE NEWSPAPER

    Accuracy of information No. of Respondents Percentage

    Excellent 46 33.09

    Good 48 34.53

    Satisfactory 22 15.83

    Poor 15 10.79

    Very poor 8 5.76

    Total 139 100

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    TABLE 4.43: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PROMPT SERVICE PROVIDED

    TABLE 4.44: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    KEEPING UP THE PROMISE MADE BY THE PAPER

    Accurate service No. of Respondents Percentage

    Excellent 40 28.78

    Good 50 35.97

    Satisfactory 22 15.83

    Poor 17 12.23

    Very poor 10 7.19

    Total 139 100

    Prompt service No. of Respondents Percentage

    Excellent 45 32.37

    Good 42 30.22

    Satisfactory 14 10.07

    Poor 21 15.11

    Very poor 17 12.23Total 139 100

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    Table 4.42 explains satisfaction level among the respondents in terms of

    Accurate Service Provided by the Newspaper, it is observed that out of 139 respondents

    40 are highly satisfied and rated excellent in the services provided, 50 respondents feel

    that its Good, 22 respondents are Satisfied, 17 respondents feel that its poor and 10

    respondents say that its Very poor

    Table 4.43 explains satisfaction level among the respondents in terms of

    Prompt Service Provided by the Newspaper, it is observed that 32.37 per cent feel that

    their preferred paper is Excellent in prompt Service, 30.22 rated as good, 10.07 per cent

    respondents are Satisfied, 15.11 percent respondents feel that its poor and 12.23 per cent

    respondents say that its Very poor

    Table 4.44 explains satisfaction level among the respondents in terms of

    Keeping up the promise, it is observed that out of 139 respondents 45 respondents feel

    that their preferred paper is Excellent in Keeping promises, 40 respondents rated good, 27

    respondents are Satisfied, 17 respondents feel that its poor and 10 respondents say that

    its Very poor

    TABLE 4.45: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    CLARIFICATION OF DOUBTS

    Keeping up promises made No. of Respondents Percentage

    Excellent 45 32.37

    Good 40 28.78

    Satisfactory 27 19.42

    Poor 17 12.23

    Very poor 10 7.19

    Total 139 100

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    Table 4.45 explains satisfaction level among the respondents in terms of their preferred

    Newspaper in terms of Clarifying Doubts promise, it is observed that out of 139

    respondents 46 respondents feel that their preferred paper is Excellent in Clarifying

    Doubts, 20 respondents rated good, 32 respondents are Satisfied, 29 respondents feel that

    its poor and 12 respondents say that its Very poor

    TABLE 4.46: MEAN SCORE AND ITS STANDARD DEVIATION OF THE

    ATTRIBUTES OF NEWSPAPERS

    Clarifying doubts No. of Respondents Percentage

    Excellent 46 33.09

    Good 20 14.39

    Satisfactory 32 23.02

    Poor 29 20.86

    Very poor 12 8.63

    Total 139 100

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    ATTRIBUTES OF NEWSPAPERS MEANSTANDARD

    DEVIATION

    Updating Knowledge 3.26 1.21

    Presentation of news 3.63 1.25Issues Raised 3.73 1.18

    Presenting Facts 3.06 1.02

    Supporting Human Rights 3.41 1.34

    Supplements 3.06 1.15

    Paper quality 2.55 1.20

    Newspaper layout 2.69 1.20

    Type and Size of Font 2.50 1.11

    No. of Color Pages included 2.47 1.27

    Clarity in Pictures 2.23 1.26

    Overall Newspaper Quality 2.49 1.32

    Confessing Mistakes 2.53 1.34

    Reliable Information 2.47 1.33

    Accurate Information 2.49 1.18

    Accurate Service 2.73 1.22

    Prompt Service 2.46 1.39

    Keeping the Promise 3.33 1.25

    Clarifying Doubts 2.58 1.36

    Table 4.46 denotes the mean score of attributes of newspaper which the readers

    prefer. It is observed that there is no variables which give highest satisfaction to the

    reader as none of these variables have mean score greater than 4.5 and less than 5. This

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    proves that alone editorial driven factors do not give complete satisfaction to the readers,

    they want more.

    Next comes the variables that provide satisfaction to the readers, as there mean

    score lies between 3.5 and 4.5. These variables are: Updating Knowledge, Presentation of

    news, and Issues Raised by the newspapers.

    Factors with mean score between 2.5 and 3.5 are just acceptable by the readers,

    they are not very satisfied but these parameters are manageable for them. They are:

    Presenting Facts, Supporting Human Rights, Keeping the Promise, Supplements, Paper

    quality, Newspaper layout, Clarifying Doubts, Reliable Information, Accurate

    Information, Accurate Service, Prompt Service, Confessing Mistakes, Overall Newspaper

    Quality and Type and Size of Font used in the newspapers.

    Certain factors are dissatisfactory for the readers of newspapers. These factors

    need to be taken care of. The mean score of these variables lie within the range of 1.5 and

    2.5. These factors are listed as: No. of Color Pages included and Clarity in Pictures.

    Lastly, few factors result in high dissatisfaction to the readers. According to the

    responses for this study, there is no such factor exists. As the mean score of all factors lie

    above 1.5, thus the newspapers can retain them by improving upon above mentioned

    factors.

    TABLE 4.47: KM0 AND BRATLETTS TEST

    Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.718

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    Loadings Loadings

    Component Total% of

    Variance

    Cumulative

    %Total

    % of

    Variance

    Cumulative

    %

    1 3.981 20.950 20.950 3.736 19.663 19.663

    2 3.495 18.394 39.344 3.590 18.894 38.557

    3 1.915 10.077 49.421 1.679 8.835 47.391

    4 1.419 7.469 56.890 1.395 7.342 54.733

    5 1.199 6.311 63.201 1.315 6.922 61.656

    6 1.104 5.811 69.011 1.254 6.602 68.258

    7 1.017 5.355 74.366 1.160 6.108 74.366

    The PCA extracted seven factors, which describes the readers satisfaction of

    reading newspaper through the varimax rotation method and the extracted factors

    accounted 74.366 per cent (Table 4.48) variance and clearly indicates that the above

    variables (19 items) are important to explain the readers satisfaction level from editorial

    factors of any newspaper.

    TABLE 4.49: ATTRIBUTES OF THE NEWSPAPER TO ITS READERS

    ATTRIBUTESFACTOR

    SCOREALPHA

    EIGEN

    VALUE

    Quality of news in the Newspaper .9648 3.981

    Overall Newspaper Quality 0.967

    Confessing Mistakes 0.966

    Reliable Information 0.937

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    Factor 4: Additional services indicate the parameters like Presenting Facts and

    Supplements the newspapers come out with. The variance percentage is 7.342 per cent

    and its internal consistency value is just .3640 which is less than suggested level. Thus, it

    has been concluded that they are very less reliable attributes.

    Factor 5: Knowledge and awareness to reader like presenting news in the paper,

    Issues raised by the newspaper and Updating Knowledge of the reader are also very less

    significant parameters as the internal consistency value is just .3728 and the percentage of

    variance is 6.922 per cent.

    Factor 6: Appearance of the newspaper indicates parameters like Clarity in the

    pictures of newspaper and Paper quality. These factors are also not significant according

    to the respondents as the internal consistency is just .1612 which is very less than

    suggested level value and this factor attributes to the variance level of 6.602 per cent.

    Finally factor 7: Other factors include factors like Color pages in the newspaper

    and supporting human rights have no affect at all. The internal consistency is negative i.e.

    -.1043 and the variance is 6.108 per cent.

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    58

    Quality ofnews in theNewspaper

    Knowledgeand awarenessto reader

    Outlook ofthenewspaper

    Additionalservices

    Appearanceof the

    newspaper

    Otherfactors

    Serviceprovided bynewspaper

    Satisfactionof

    readers

    .850*.100

    .54

    -.63

    .210**

    -.29

    .04

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    TABLE 4.50: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS REPUTATION IN THE MARKET

    Reputation of paper No. of Respondents Percentage

    Excellent 42 30.22

    Good 43 30.94

    Satisfactory 26 18.71

    Poor 17 12.23

    Very poor 11 7.91

    Total 139 100

    TABLE 4.51: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS AVAILABILITY IN THE MARKET

    TABLE 4.52: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS READER FRIENDLINESS

    Availability of paper No. of Respondents Percentage

    Excellent 48 34.53

    Good 47 33.81

    Satisfactory 18 12.95

    Poor 14 10.07

    Very poor 12 8.63

    Total 139 100

    59

    Quality ofnews in theNewspaper

    Knowledgeand awarenessto reader

    Outlook ofthenewspaper

    Additionalservices

    Appearanceof the

    newspaper

    Otherfactors

    Serviceprovided bynewspaper

    Loyaltyof

    readers

    .780*.088

    .083

    -.044

    .200**

    -.026

    -.01

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    Table 4.50 explains satisfaction level among the respondents in terms of

    Reputation of Newspaper in the market, it is observed that out of 139 respondents 42

    respondents feel that their preferred paper is Excellent in reputation , 43 respondents

    rated good, 26 respondents are Satisfied, 17 respondents feel that its poor and 11

    respondents say that its Very poor

    Table 4.51 explains satisfaction level among the respondents in terms of

    Availability of News Paper in the Market, it is observed that out of 139 respondents 48

    respondents feel that their preferred paper is Excellent in availability, 47 respondents

    rated good, 18 respondents are Satisfied, 14 respondents feel that its poor and 12

    respondents say that its Very poor

    Table 4.52 explains satisfaction level among the respondents in terms of

    Reader Friendliness of the News Paper they prefer, it is observed that 36.69 percent of

    respondents feel that their preferred paper is Excellent in Reader Friendliness, 25.18 per

    cent respondents rated good, 23.74 percent respondents are Satisfied, 7.19 per cent of

    respondents feel that its poor and 7.19 respondents say that its Very poor

    TABLE 4.53: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS OVERALL PRODUCT QUALITY

    Reader friendliness No. of Respondents Percentage

    Excellent 51 36.69

    Good 35 25.18

    Satisfactory 33 23.74

    Poor 10 7.19

    Very poor 10 7.19

    Total 139 100

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    TABLE 4.54: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS IN CATERING TO A FAMILY NEED

    TABLE 4.55: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    PREFERRED NEWS PAPERS ACCORDING TO ITS GOODWILL AND TRUST

    BUILDING IN THE MARKET

    Overall product quality No. of Respondents Percentage

    Excellent 41 29.50

    Good 38 27.34

    Satisfactory 26 18.71

    Poor 27 19.42

    Very poor 7 5.04

    Total 139 100

    Catering family needs No. of Respondents Percentage

    Excellent 53 38.13

    Good 38 27.34

    Satisfactory 19 13.67

    Poor 15 10.79

    Very poor 14 10.07

    Total 139 100

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    Table 4.53 explains satisfaction level among the respondents in terms of

    Overall Product Quality, it is observed that out of 139 respondents 41 respondents feel

    that their preferred paper is Excellent in Overall Product quality, 38 respondents rated

    good, 26 respondents are Satisfied, 27 respondents feel that its poor and 7 respondents

    say that its Very poor

    Table 4.54 explains satisfaction level among the respondents in terms of

    Catering to Family Need, it is observed that out of 139 respondents 53 respondents feel

    that their preferred paper is Excellent in catering to Family need of Respondents, 38

    respondents rated good, 19 respondents are Satisfied, 15 respondents feel that its poor

    and 14 respondents say that its Very poor

    Table 4.55 explains satisfaction level among the respondents in terms of

    Good Will & Trust that the respondents News Paper has built, it is observed that out of

    139 respondents 52 respondents feel that their preferred paper is Excellent in Building

    trust & Good Will, 47 respondents rated good, 19 respondents are Satisfied, 14

    respondents feel that its poor and 7 respondents say that its Very poor

    H0: The features preferred by the respondents are same in comparison to other

    newspapers.

    H1: The features preferred by the respondents are different in comparison to other

    newspapers

    Goodwill & building trust in

    market

    No. of

    Respondents

    Percentage

    Excellent 52 37.41

    Good 47 33.81

    Satisfactory 19 13.67

    Poor 14 10.07

    Very poor 7 5.04

    Total 139 100

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    Table 4.56: PREFEERED FEATURES OF RESPONDENTS

    Factors Average Variance

    Reputation in market 2.3669 1.5673

    Availability 2.2446 1.6064

    Readers friendly 2.2302 1.4973Overall product quality 2.4317 1.5370

    Complete Family need 2.2734 1.7943

    Goodwill & Building trust 2.1151 1.3635

    F-Ratio:

    Source of Variation Sum Of

    Squares

    Degrees

    of

    Freedom

    Mean

    Sum Of

    Squares

    Calculated

    Value(F)

    Tabulated

    Value(F

    crit)

    Between Groups 8.543 5 1.709 1.095 2.225

    Within Groups 1292.475 828 1.561Total 1301.018 833

    Since the calculated value (F=1.095) is less than the tabulated value (2.225), the null

    hypothesis is accepted. Hence the preferred features in newspaper by the respondents are

    same.

    It is confirmed with mean scores of preferred features in newspaper is Reputation in

    market (2.3669), Availability (2.2446), Readers friendly (2.2302), Overall product

    quality (2.4317), Complete Family need (2.2734) and Goodwill & Building trust (2.1151)

    is same.

    TABLE 4.57: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERAGE OF LOCAL NEWS

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    TABLE 4.58: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING REGIONAL NEWS

    TABLE 4.59: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING NATIONAL NEWS

    Coverage of local news No. of Respondents Percentage

    Excellent 43 30.94

    Good 43 30.94

    Satisfactory 23 16.55

    Poor 16 11.51

    Very poor 14 10.07

    Total 139 100

    Coverage of regional news No. of Respondents Percentage

    Excellent 56 40.29

    Good 34 24.46

    Satisfactory 24 17.27

    Poor 14 10.07

    Very poor 11 7.91Total 139 100

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    Table 4.57 explains satisfaction level among the respondents in terms of

    Coverage Of Local News in their preferred Newspaper, it is observed that 30.94 percent

    of respondents feel that their preferred paper is Excellent in Coverage of Local News,

    30.94 percent feel that Coverage is good, 16.55 percent respondents are Satisfied with the

    Local News, 11.51 respondents feel that its poor and 10.07 respondents say that its Very

    poor

    Table 4.58 explains satisfaction level among the respondents in terms of

    Coverage Of Regional News in their preferred Newspaper, it is observed that out of 139

    respondents 56 feel that their preferred paper is Excellent in Coverage of Regional News,

    34 feel that Coverage is good, 24 respondents are Satisfied with the Regional News, 14

    respondents feel that its poor and 11 respondents say that its Very poor

    Table 4.59 explains satisfaction level among the respondents in terms of

    Coverage Of National News in their preferred Newspaper, it is observed that out of 30.94

    percent of respondents feel that their preferred paper is Excellent in Coverage of National

    News, 32.37 percent feel that Coverage is good, 17.27 percent respondents are Satisfied

    with the National News, 10.79 respondents feel that its poor and 8.63 respondents say

    that its Very poor

    TABLE 4.60: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING INTERNATIONAL NEWS

    Coverage of national news No. of Respondents Percentage

    Excellent 43 30.94

    Good 45 32.37

    Satisfactory 24 17.27

    Poor 15 10.79

    Very poor 12 8.63

    Total 139 100

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    TABLE 4.61: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING SPORTS NEWS

    TABLE 4.62: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING POLITICAL NEWS

    Coverage of international news No. of Respondents Percentage

    Excellent 48 34.53

    Good 37 26.62

    Satisfactory 28 20.14

    Poor 13 9.35

    Very poor 13 9.35

    Total 139 100

    Coverage of sports news No. of Respondents Percentage

    Excellent 48 34.53

    Good 45 32.37

    Satisfactory 25 17.99

    Poor 16 11.51

    Very poor 5 3.60Total 139 100

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    Table 4.60 explains satisfaction level among the respondents in terms of

    Coverage Of International News in their preferred Newspaper, it is observed that out of

    139 respondents 48 feel that their preferred paper is Excellent in Covering International

    News, 37 feel that Coverage is good, 28 respondents are Satisfied with the International

    News, 13 respondents feel that its poor and 13 respondents say that its Very poor

    Table 4.61 explains satisfaction level among the respondents in terms of

    Coverage Of Sports News in their preferred Newspaper, it is observed that out of 34.53

    percent of respondents feel that their preferred paper is Excellent in Coverage of Sports

    News, 32.37 percent feel that Coverage is good, 17.99 percent respondents are Satisfied

    with the Sports News, 11.51 respondents feel that its poor and 3.60 respondents say that

    its Very poor

    Table 4.62 explains satisfaction level among the respondents in terms of

    Coverage Of Political News in their preferred Newspaper, it is observed that out of 139

    respondents 58 feel that their preferred paper is Excellent in Covering Political News, 48

    feel that Coverage is good, 18 respondents are Satisfied with the Political News, 10

    respondents feel that its poor and 5 respondents say that its Very poor

    TABLE 4.63: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF THE

    COVERING FILM HULCHUL

    Coverage of political news No. of Respondents Percentage

    Excellent 58 41.73

    Good 48 34.53

    Satisfactory 18 12.95

    Poor 10 7.19

    Very poor 5 3.60

    Total 139 100

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    TABLE 4.64: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    BRINGING OUT SUPPLIMENTS (EDUCATION, HEALTH, WOMEN)

    Table 4.63 explains satisfaction level among the respondents in terms of

    Coverage Of Filmi Hulchul News in their preferred Newspaper, it is observed that 42.45

    respondents feel that their preferred paper is Excellent in Covering Filmi News, 32.37

    Coverage of Filmi hulchal No. of Respondents Percentage

    Excellent 59 42.45

    Good 45 32.37

    Satisfactory 19 13.67

    Poor 9 6.47

    Very poor 7 5.04

    Total 139 100

    Bringing out the supplements No. of Respondents Percentage

    Excellent 59 42.45

    Good 39 28.06

    Satisfactory 23 16.55

    Poor 14 10.07Very poor 4 2.88

    Total 139 100

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    feel that Coverage is good, 13.67 respondents are Satisfied with the Filmi News, 6.47

    respondents feel that its poor and 5.04 respondents say that its Very poor

    Table 4.64 explains satisfaction level among the respondents in terms of

    Bringing out Supplements on Women, Health, Children etc.. in their preferred

    Newspaper, it is observed that out of 139 respondents 59 respondents feel that their

    preferred paper is Excellent in bringing out supplements, 39 feel that Coverage is good,

    23 respondents are Satisfied with the Supplements their Newspaper bring, 14 respondents

    feel that its poor and 4 respondents say that its Very poor

    H0: The respondents perception about coverage of news by the newspaper they prefer is

    same.

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    H1: The respondents perception about coverage of news by the newspaper they prefer is

    different

    Table 4.65: RESPONDENT PERCEPTION ABOUT THE NEWS COVERAGE IN

    THE NEWSPAPER OF THEIR PREFERENCE

    Factors Average Variance

    Local news 2.3885 1.7031

    Regional News 2.2086 1.6591

    National News 2.3381 1.5877

    International News 2.3237 1.6698

    Sports News 2.1727 1.2888

    Political Drama 1.9640 1.1654

    Filmi Hulchul 1.9928 1.2826

    Supplements 2.0288 1.2600

    F-Ratio:

    Source of Variation Sum Of

    Squares

    Degrees

    of

    Freedom

    Mean

    Sum Of

    Squares

    Calculated

    Value(F)

    Tabulated

    Value(F

    crit)

    Between Groups 27.0351 7 3.8622 2.6598 2.0179

    Within Groups 1603.0647

    1104 1.4521

    Total 1630.099

    8

    1111

    Since the calculated value (F=2.6598) is more than the tabulated value (2.10795),

    the null hypothesis is rejected. Hence the perception of respondents about the news

    coverage by their preferred newspapers is different.

    It is confirmed with mean scores of the perception of respondents about the Local

    news (2.3885), Regional News (2.2086), National News (2.3381), International News

    (2.3237), Sports News (2.1727), Political Drama (1.9640), Filmi Hulchul (1.9928) and

    Supplements (2.0288) is different.

    TABLE 4.66: CLASSIFICATION OF RESPONDENTS ON THE BASIS OVER

    ALL SATISFACTION LEVEL

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    Overall Satisfaction Level No. of Respondents Percentage

    Highly Satisfied 40 28.78

    Satisfied 48 34.53

    Manageable 24 17.27

    Dissatisfied 18 12.95Highly Dissatisfied 9 6.47

    Total 139 100

    Overall satisfaction level of the readers of newspaper read details of the respondents are

    shown in the Table 4.66. It is observed that out of 139 respondents, 28.78 per cent of

    respondents are highly satisfied, 34.53 per cent of respondents are satisfied, 17.27 per

    cent are managing with the newspaper they read, 12.95 per cent readers are not satisfies

    and remaining 6.47 are highly dissatisfied readers.

    The above data is shown in Graph 4.66

    GRAPH 4.66: RESPONDENTS ON THE BASIS OF OVERALL SATISFACTION

    OVERALL SATISFACTION

    Highly

    Dissatisfied

    Dissatisfied

    ManageableSatisfied

    Highly

    Satisfied

    TABLE 4.67: CLASSIFICATION OF RESPONDENTS ON THE BASIS OF

    ENCOURAGING FREIENDS & RELATIVES TO READ PREFERRED PAPER

    Encourage Friends & Relatives to Read No. of

    Respondents

    Percentage

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    Strongly Agree 41 29.50

    Agree 41 29.50

    Cant say 25 17.99

    Disagree 15 10.79

    Strongly Disagree 17 12.23

    Total 139 100

    Loyalty of newspaper readers judged on the basis of their recommendation

    to friends and relatives is shown in the Table 4.67. It is observed that out of 139

    respondents, 29.50 per cent of respondents strongly recommend their friends and

    relatives to read their preferred newspaper, 29.50 per cent of respondents do recommend,

    10.79 per cent disagree, 12.23 per cent strongly disagree to recommend and 17.99 per

    cent readers are neutral for this statement.

    The above data is shown in Graph 4.67

    GRAPH 4.67: RESPONDENTS ON THE BASIS OF RECOMMENDATION OF

    THEIR PREFERRED NEWSPAPER TO FRIENDS AND RELATIVES

    RECOMMENDATION TO FRIENDS AND

    RELATIVES

    Strongly

    Disagree

    Disagree

    Cant say

    Agree

    Strongly

    Agree

    TABLE 4.68: CLASSIFICATION OF RESPONDENTS ON THE BASIS

    INTENDING TO CONTINUE WITH SAME PAPER

    Continue with the Same Paper No. of Respondents Percentage

    Strongly Agree 49 35.25

    Agree 49 35.25

    Cant say 19 13.67

    Disagree 8 5.76

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    Strongly Disagree 14 10.07

    Total 139 100

    Loyalty of newspaper readers judged on the basis of their continuation with the same

    paper is shown in the Table 4.68. It is observed that out of 139 respondents, 35.25 percent of respondents strongly want to continue with their present newspaper, 35.25 per

    cent of respondents agree, 5.76 per cent disagree, 10.07 per cent strongly disagree to

    recommend and 13.67 per cent readers are neutral for this statement.

    The above data is shown in Graph 4.68

    GRAPH 4.68: RESPONDENTS ON THE BASIS OF CONTINUATION WITH

    THE SAME NEWSPAPER

    CONTINUATION WITH SAME PAPER

    Strongly

    Disagree

    Disagree

    Cant say

    Agree

    Strongly

    Agree

    H0: Loyalty Based on Encouraging Friends & Relatives and Continuation with Same

    Paper is same

    H1: Loyalty Based on Encouraging Friends & Relatives and Continuation with SamePaper is different

    Table 4.69: RESPONDENTS LOYALTY BASED ON RECOMMENDATION TO

    FRIENDS & RELATIVES AND CONTINUATION WITH SAME PAPER

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    Factors Average Variance

    Encouraging Friends 2.468 1.801

    Continuation with same Newspaper 2.201 1.597

    F-Ratio:

    Source of Variation Sum Of

    Squares

    Degrees

    of

    Freedom

    Mean

    Sum Of

    Squares

    Calculated

    Value(F)

    Tabulated

    Value(F

    crit)

    Between Groups 4.924 1.000 4.924 2.898 3.875Within Groups 468.964 276.000 1.699Total 473.89 277

    Since the calculated value (F=2.898) is less than the tabulated value (3.875), the null

    hypothesis is accepted. Hence the Loyalty of Respondents based on Encouraging Friends

    & Relatives and Continuation with Same Paper is different

    It is confirmed with mean scores of Encouraging friends & Relatives and Continuation

    with same newspaper is same

    TABLE 4.70: CLASSIFICATION OF RESPONDENTS ON THE BASIS

    MOTIVATINAL FACTOR TO CHANGE NEWS PAPER

    Motivation For Changing News

    Paper

    No. of

    Respondents

    Percentage

    Cost 15 10.79

    Sales Promotion 12 8.63

    Colorful Supplements 11 7.91

    More Reader Friendly 17 12.23

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    Regionalizing 17 12.23

    Focus on Advertisement category 5 3.60

    Brand of News Paper 18 12.95

    Cost, Brand 9 6.47

    Cost, regionalizing 10 7.19

    Cost, regionalizing, Reader friendly 14 10.07Cost, color supplement 11 7.91

    Total 139 100

    The factors that motivate readers to switch over to other news papers are

    studied in Table 4.70, it is observed that 10.79 percent of respondents are

    motivated cost of Newspaper, 8.63 percent of respondents are motivated by sales

    promotion, 7.91 percent of respondents are motivated by Colorful supplements

    which are included in the other Newspapers, 12.23 percent of respondents are

    motivated by Reader friendliness in Newspapers, 3.60 percent of respondents

    Focus on Advertisement category for which they switch over to other Newspaper,

    12.95 percent of respondents are motivated by Brand Of the Newspaper, 6.47

    percent of respondents are motivated by Cost and Brand of Newspaper, 7.19

    percent of respondents are motivated by Cost & Regionalizing factors, 10.07

    percent of respondents are motivated by factors like Cost, Regionalizing &

    Reader Friendliness of a Newspaper, and 7.91 percent of respondents are

    motivated by Cost and Color supplements.

    Graph 4.70: RESPONDENTS ON THE BASIS OF THEIR MOTIVATIONAL

    FACTORS TO READ NEWSPAPER

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    M O T IVATIO NAL FACT

    Cost ,

    regionalizi

    C ost , colosuppleme

    Cost ,

    regionalizin

    R e a d e r

    friendly

    C o s

    Sales

    Promot io

    Colorful

    S u p p l e m e n

    More Read

    Friendly

    Regional iz i

    F o c u s o n

    Advert iseme

    category

    Brand o f

    N e w s P a p

    Co st , Bran

    SUMMARY AND FINDINGS

    The newspaper has always been one of the most important providers of news and

    entertainment, despite of the rise of the Internet and of telecommunications as viable

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    sources of information. People have different norms, values, and believes. When looking

    for a newspaper, people are interested in papers, which correspond to their beliefs; they

    are looking for a newspaper that they can identify themselves with. Consequently, it is

    important for newspapers to be able to tie customers to them, to deliver something that

    satisfies the customer, to give the customer an incentive to be loyal.

    According to a Price water house Coopers (PwC) survey for the year 2003 it is

    estimated that the news paper industry in India is around US$1.7 billion in 2003, and is

    expected to grow to reach US$ 2.4billion in 2008. Publishers in India are ready to spend

    over Rs 1410 crores to invade each others territories

    NIE group is a part of the Indian Express heritage. This great journalism of

    courage started in 1932 and slowly and gradually it got split into two, one looking at the

    north and west and the other south and Orissa.

    It has Newspapers in English (The New Indian express, The New Sunday

    Express) Tamil (Dinamani) & Kannada (Kannada Prabha); Magazines in Tamil (Tamilan

    Express) and Malayalam (Malayalam Vaarika). There are 19 printing centers spread

    across the four Southern States and Orissa. The New Indian Express group also has

    Internet Editions (indiavaarta.com) and an Event Management Company (Event Xpress)

    working under it.

    The New Indian Express Group was the first in India to conduct monthly

    discussion groups with different segments of readers throughout south India to identify

    their needs and their suggestions for improvement of the products. Growth vectors of this

    group can be identified as mainly, the evolving Product lines, New Editorial thrust,

    Innovations, Strategic Growth Initiatives, Delivery system, Operational excellence.

    OBJECTIVES

    Broad Objective:

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    To study the factors affecting Loyalty of newspaper readers in Chennai

    Specific Objective:

    To analyze Editorial driven factors that directly affect the readers view points.

    To know the market driven factors in newspaper that readers prefer.

    To quantify the satisfaction level of the readers of a newspaper.

    To study the factors like Coverage of news, Availability, Overall Quality of thepaper etc which are the prime deciding factor for their loyalty

    Research design used for the study is DESCRIPTIVE RESEARCH design. The

    researcher uses descriptive type of research to get valuable insights from the

    respondents about the level of loyalty on the service and news offered by the

    company to its readers. The selected area for conducting the study was Chennai.

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    Since the population of the sample size is large and unknown, researcher followed

    non-probability sampling method. Thus convenience sampling was followed and

    150 sample units was selected for the study. Out of this, 9 questionnaires were

    discarded based on unfilled and incomplete information. Finally the sample size of

    141 samples are selected for the analysis and drawing the inference. Out of these, 2

    respondents do not read newspapers at all. Thus the researcher is left with 139

    sample size of eligible respondents, on the basis of which study is conducted. The

    researcher used primary data collection method by Questionnaire method to collect

    data from the respondents

    The study has been undertaken for three months from 20th December 2005 to 10th

    April 2006. During the period, the researcher has worked extensively in the field of

    space marketing to bring out this work with utmost sincerity.

    The researcher under conventional statistical techniques uses Percentage analysis

    and Chi- Square test

    i. Percentage analysis: It is used for nominal data that is

    Dichotomous and

    Multiple Choice single response and Multiple Choice Multi Response

    Questions.

    ii. Chi- Square test: It is a non- parametric test.

    iii. The researcher has used non- conventional statistical techniques

    such as

    One Way Anova and Factor Analysis under Non Conventional Technique

    FINDINGS

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    1. 73.05 per cent are male and remaining 26.95 per cent are female. Around 88 per

    cent of the respondents are below 40 years of age.

    2. 21.99 per cent are students, 31.21 per cent are businessman, 33.33 per cent

    respondents government employees and remaining 13.48 per cent are white

    collar MNC working people. Around 82.28 per cent of respondents annual family

    income is less than Rs. 5 lakh

    3. 98.58 per cent of the respondents read newspapers and remaining 1.42 Per cent

    do not read any newspaper.

    4. 59.71 per cent of the respondents read newspapers regularly and only 40.29 Per

    cent of the respondents read it occasionally. Around 85 per cent of respondents

    are having more than 1 year of reading habit of Newspaper.

    5. 22.30 per cent are most influenced by family, and 16.55 per cent are least

    influenced by their families.

    6. 22.30 per cent of respondents are most influenced, and 19.42 per cent are least

    influenced by their friends

    7. 15.11 per cent are most influenced, 19.42 per cent are least influenced by their

    profession.

    8. 24.46 per cent


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