an approach to write research paper
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An Approach to Write Research Paper
Dr. Chandan A Chavadi, Associate Professor , Presidency Business School, Bangalore
1
A Practice as an Author
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General Outline of a Journal Article
I. Abstract
II. Introduction
III. Literature review
IV. Research DesignV. Results/Data Analysis
VI. Discussion/Managerial Implications
VII. Limitation and direction of future researchVIII. References
IX. Appendixes
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Before starting to write?
Spend some time to think about the article content. At
this stage, write down ideas in a free form, creating a
general outline for the paper.
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Try to answer these questions???
What is the message of the paper?
What is the new result or contribution that you
want to describe?
What do you want to convince people of?
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I) Abstract
The abstract should inform the reader in a succinct
manner as to what the article is about and what the
major contributions are that are discussed.
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Brand Relationships and Switching Behaviour for
Highly Used Products in Young Consumers
Abstract continued.
Thepurposeof this study is to:
(a) establish that brand relationships postulated in the
literature exist along all dimensions for youngconsumers in the emerging market context;
(b) investigate the influence of peer influence, familyinfluence, and brand relationships on switching
intentions amongst young consumers; and(c) examine the impact of price changes on switching
intentions in the context of brand relationships.
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Brand Relationships and Switching Behaviour for
Highly Used Products in Young Consumers
The results indicate that young consumers do form
relationships with brand(s) on all the six dimensions
of consumer brand relationship that have beenpostulated in the literature. The results suggest that
love and passion dimension of brand relationship is
stronger amongst teenagers as compared to young
adults; that family has a relatively stronger influence
than peers, and that consumers do compare price
irrespective of how strong the brand relationship is.
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Key words.
Brand Relationships, Brand Consumption, Switching
Intentions, Peer Influence, Family Influence, Price
Comparison.
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Title
Before title is evolved, identify the target journal and
area of focus.
Each journal/magazine normally has an area of focus.
Choose topic which is contemporaryand interest toscholars.
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Journal.
Example : ICFAI Journal of Marketing Management
Area of Focus - Marketing Strategy,
Marketing Research and Techniques Brand
Management, Advertising, Consumer Behavior,Emerging and Interdisciplinary Issues.
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Journal
Example: ICFAI Journal of Applied Finance
Area of Focus - Business Environment, Regulatory
Environment, Equity Markets , Debt Market,
Corporate Finance , Financial Services, PortfolioManagement, International Finance , Risk
Management
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Some broad categories of IIMB
Management Review
20: Banking(formerly NIBM)
30: Communication
40: Corporate and Business Finance, RiskManagement and Formulation of GrowthStrategy
45: Corporate Strategy and Policy
50: Economics 60: Economics & Social Sciences (ESS)
70: Economics, Environment Public Policy
80: Economics, Public Policy
90: Education
100: Entrepreneurship
110: Entrepreneurship, Development
120: ESS 130: Ess/Environment
140: Ess/Fin
150: Ess/Fin/Agri
160: Ess/Globalisation
170: Ess/Natural Resources
180: Ess/Public Policy
190: Ess/Tech & Environment
200: Ess/Trade
210: Finance
220: Finance & Accounting
230: Finance/CSR
240: HR/OB
250: HR/OB/Entrepreneurship
260: HR/OB/Ethics
270: Human Resources/Organisational Behaviour
(HR/OB)
280: Information & Communication Technologies (ICT)
290: Information Technology/Information Systems(IT/IS)
300: Intercultural Communication, Gender, Material
Culture
310: International Businesses
320: IS
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Some broad categories of IIMB
Management Review
330: IT/IS
340: IT/Strategy
350: Law
360: Management Information Systems
(MIS) 370: Marketing
380: Marketing/Entrepreneurship
390: OB
400: Organisational Behaviour and HumanResource Management
410: Organisational Development (OD),Corporate Social Responsibility (CSR)
420: POM
430: Production & Operations Management(POM)
440: POM/QMIS
450: Public Policy
460: Quantitative Methods & Information
Systems (QMIS)
470: QMIS
480: Public Policy &Management/Strategy
490: QMIS/Strategy
500: Strategy
510: Rural Marketing
520: Strategy, Competitiveness
530: Supply Chain Management,Information Systems
540: Strategy/Environment
550: Strategy/Policy
560: Tax
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Some broad categories of Vikalpa.
General
Accounting and Control
Agriculture and Rural Development
Communication
Economics
Finance
Global Management
Information Technology and Systems
Innovation and Entrepreneurship
Marketing
Organizational Behaviour and HRD
Strategic Management and Leadership
Public Systems
Operations Management
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http://www.vikalpa.com/article/article_list.php?action=article&SearchText=0http://www.vikalpa.com/article/article_list.php?action=article&SearchText=1http://www.vikalpa.com/article/article_list.php?action=article&SearchText=2http://www.vikalpa.com/article/article_list.php?action=article&SearchText=3http://www.vikalpa.com/article/article_list.php?action=article&SearchText=4http://www.vikalpa.com/article/article_list.php?action=article&SearchText=5http://www.vikalpa.com/article/article_list.php?action=article&SearchText=6http://www.vikalpa.com/article/article_list.php?action=article&SearchText=7http://www.vikalpa.com/article/article_list.php?action=article&SearchText=8http://www.vikalpa.com/article/article_list.php?action=article&SearchText=9http://www.vikalpa.com/article/article_list.php?action=article&SearchText=10http://www.vikalpa.com/article/article_list.php?action=article&SearchText=11http://www.vikalpa.com/article/article_list.php?action=article&SearchText=12http://www.vikalpa.com/article/article_list.php?action=article&SearchText=13http://www.vikalpa.com/article/article_list.php?action=article&SearchText=13http://www.vikalpa.com/article/article_list.php?action=article&SearchText=12http://www.vikalpa.com/article/article_list.php?action=article&SearchText=11http://www.vikalpa.com/article/article_list.php?action=article&SearchText=10http://www.vikalpa.com/article/article_list.php?action=article&SearchText=9http://www.vikalpa.com/article/article_list.php?action=article&SearchText=8http://www.vikalpa.com/article/article_list.php?action=article&SearchText=7http://www.vikalpa.com/article/article_list.php?action=article&SearchText=6http://www.vikalpa.com/article/article_list.php?action=article&SearchText=5http://www.vikalpa.com/article/article_list.php?action=article&SearchText=4http://www.vikalpa.com/article/article_list.php?action=article&SearchText=3http://www.vikalpa.com/article/article_list.php?action=article&SearchText=2http://www.vikalpa.com/article/article_list.php?action=article&SearchText=1http://www.vikalpa.com/article/article_list.php?action=article&SearchText=0 -
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Magazine
Example: Marketing Mastermind Magazine
Area of focusCover story, Marketing communication,
Marketing Strategy, Consumer survey, Emerging
trendsExample: Advertising Express Magazine
Area of focusAdvertising articles, Perspective,
Research, featuresviewpoint, news roundup andcase study
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Examples
Area of focus: Consumer behaviour
Title:Perceptions and Preferences of mobile
advertising in India
Target journal: Vikalpa
Title:Consumers Preferences for Financial Dailies: An
Empirical study in Bangalore
Target journal: IJMM
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II) Introduction
Start with an attention-getting broad statement that
establishes a general topic for the article.
Narrow the topic in successive sentences that outline
the state of the art and introduce a gap in knowledge. End the introduction with a general statement of the
problem and optional supporting/specifying
statements.
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Example of brief introduction
That customers evaluate brands, develop images of
brands, and have varying degrees of loyalty to brands
is well established (e.g., Park, Jun and Shocker, 1996;Keller, 1993). Scholars are now examining the
emotional dimensions of brand evaluation and
consumption and its impact on loyalty (e.g.,
Westbrook and Oliver 1991; Shiv and Fedorikhin1999; Albert,Merunka and Valette-Florence, 2008).
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Example of brief introduction
Among the existing studies, there is none in our
knowledge that documents brand relationships of
young consumers in an emerging economy. Finally,
young consumers the world over are influenced bypeers and family in their brand-related decisions
(Singh, Kwon and Pereira, 2003). For marketers, it is
important to understand the impact of these factors on
brand relationships and brand switching intentions.
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How to express footnotean example
Indians are no longer in the mindset of collectivism,
cautious spending, and guilt associated with
spending.1
1Financial Express, 18 December 2005
[http://www.financialexpress.com/news/have-money-
will-spend/155335/0]
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Research Objectives
Clearly defined objectives help in solving the main
problem
These objectives tend to solve the problem or identify
opportunities The objectives should not be repetitive in nature
Framework and parameters of the study should be
selected carefully
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Example of Research objectives.
Title: Perceptions and Preferences of mobile advertising inIndia
Objectives
To understand perceptions of mobile users towards mobile
advertising To study preferences of mobile users regarding the nature of
mobile advertising
To find out differences in perceptions and preferencesacross gender and age
To study purposes for which mobile users use mobilehandsets and the frequency of use
To study what actions mobile users take notice once theyreceive the mobile advertising
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III) Literature review
The literature review identifies the seminalhistorical contributions,
outlines the state of knowledge, and justifies thenovelty of the articles contribution
A literature review is a body of text that aims toreview the critical points of current knowledgeincluding substantive findings as well astheoretical and methodological contributions to a
particular topic. Literature reviews are secondarysources, and as such, do not report any new ororiginal experimental work.
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Literature review
Its ultimate goal is to bring the reader up to date with
current literature on a topic and forms the basis for
another goal, such as future research that may be
needed in the area. A well-structured literature review is characterized by
a logicalflow of ideas; current and relevant
references with consistent, appropriate referencing
style; proper use of terminology; and an unbiased andcomprehensive view of the previous research on the
topic.
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http://en.wikipedia.org/wiki/Logicalhttp://en.wikipedia.org/wiki/Citationhttp://en.wikipedia.org/wiki/Citationhttp://en.wikipedia.org/wiki/Terminologyhttp://en.wikipedia.org/wiki/Terminologyhttp://en.wikipedia.org/wiki/Citationhttp://en.wikipedia.org/wiki/Citationhttp://en.wikipedia.org/wiki/Logical -
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ExampleHow celebrities are used in
Indian television commercials
Example of LR
There are multiple roles that a celebrity spokesperson mayplay (and the roles may not be mutually exclusive) (kamen,Azhari and Kragh, 1975) in an advertisement such as that ofa spokesperson, endorser, provider of a testimonial, or anactor. McCracken(1989) suggested four modes of celebrityendorses namely, Explicit mode, Implicit mode, Imperativemode and the Co-present mode. Both Kamen, Azhari andKragh(1975) and McCracken(1989) have not given anyindication about which mode of celebrity portrayal should
be used in which product category However, it wouldbe interesting to find out whether there is a dominant modeof celebrity portrayal in celebrity advertising.
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Hypothesis of Study
Hypothesis means statement of assumption.
We try to understand the behavior of the entire
population by analyzing the assumptions of the
sample. Hypothesis should get exposed or emerge from LR
Assumptions may be wrong or right i.e., Hypothesis
may be accepted or rejected.
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IV) Research Design
A research design specifies the methods andprocedures for conducting a particular study. Itincludes research approach, sampling method, sampleframework, sample units, number of sample units,
duration of the study, data collection mode, pilottesting of questionnaire for fine tuning of finalquestionnaire, scope of study, phase wise study andstatistical tools used.
Research Design can be grouped into three categoriesexploratory studies, descriptive research and causalresearch.
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Types of research design
Exploratory
studies
Literature
search
Experience
surveyFocus groups
Analysis of
selected cases
Descriptive
studies
Longitudinal
True panel Omnibus panel
Cross sectional
Sample survey
Causal Studies
Natural
experiments
Time series Cross sectionalCombination
of these two
Controlled
experiments
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Types of Research Designs
Exploratory Research(huh?) Designed to generate basic knowledge, clarify relevant
issues uncover variables associated with a problem,uncover information needs, and/or define alternatives
for addressing research objectives. A very flexible, open-ended process.
It often relies on secondary researchsuch as reviewingavailable literature and/or data, or qualitativeapproaches such as informal discussions with
consumers, employees, management or competitors,and more formal approaches through in-depthinterviews, focus groups, projective methods, casestudiesorpilot studies.
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Descriptive Research (who, what, where, how)
Designed to provide further insight into the research
problem by describing the variables of interest.
Can be used for profiling, defining, segmentation,
estimating, predicting, and examining associativerelationships.
Deals with everything that can be counted and studied.
For example, finding the most frequent disease that
affects the children of a town. The reader of theresearch will know what to do to prevent that disease
thus, more people will live a healthy life.
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Types and Characteristics of Descriptive
Studies
Cross-Sectional Study Easily the most common type of research project.
Typically involves conducting a survey of a sample ofpopulation elements at one point in time.
Useful because it provides a quick snapshot of whats going onwith the variables of interest for our research problem.
Longitudinal Study An investigation that involves taking repeated measures over
time.
Useful for conducting trend analysis, tracking changes in
behavior over time (e.g., brand switching, levels of awareness,turnover) and monitoring long-term effects of marketingactivities (e.g., market share, pricing effects)
True panel vs. omnibus panel
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Causal Research Designs
Experiments are the best way to satisfy elements of
causation.
Designed to provide information on potential cause-
and-effect relationships. May be Field Experiment or Laboratory Experiment
Tradeoff between realism versus control
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Causal Research
Examples of experimentation in marketing
Market test (test marketing)
Advertising response (recall, affect, attitude toward
ad elements)
Promotional design (consumer response to
promotional deals, incentives, tie-ins
Store layout and design Product positioning
Color tracking and package design
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Example: Causal research
Title: A study of variance in attitude towards Ad
across tweenagers to adults
An experimental approach was adopted to study theimpact of given communication cues in a controlledenvironment.
Communication cue was the manipulated variable with
three variantsmodel picture, model caricature andinformative copy.
Age group was the independent variable with fivelevels: 10-12 years(tweenagers), 13-17years(teenagers), 18-24 years (youth), 25-34 years(
young adults) and 35-45 years (adults). Communication cues across five age groups was
studied for two product categoriesmobile and biscuits
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Example of causal research
For each brand the theme and treatment were kept
same with only one element being changed in each
brand.
The first ad depicted the picture of a model.
The second ad was the same as the first one with the
replacement of the picture of the model with
caricature.
The third ad replaced picture/caricature with
informative copy.
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Determination of Sample Size
Sample size may be determined by using:
Subjective methods (less sophisticated methods)
The rule of thumb approach: eg. 5% of population
Conventional approach: eg. Average of sample sizes ofsimilar other studies;
Cost basis approach: The number that can be studied
with the available funds;
Statistical formulae (more sophisticated methods)
Confidence interval approach.
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Random table ..
http://stattrek.com/Tables/Random.aspx
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Simple Random Sampling
Also called
random sampling
Simplest method
of probabilitysampling
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
1 37 75 10 49 98 66 03 86 34 80 98 44 22 22 45 83 53 86 23 51
2 50 91 56 41 52 82 98 11 57 96 27 10 27 16 35 34 47 01 36 08
3 99 14 23 50 21 01 03 25 79 07 80 54 55 41 12 15 15 03 68 56
4 70 72 01 00 33 25 19 16 23 58 03 78 47 43 77 88 15 02 55 67
5 18 46 06 49 47 32 58 08 75 29 63 66 89 09 22 35 97 74 30 80
6 65 76 34 11 33 60 95 03 53 72 06 78 28 14 51 78 76 45 26 45
7 83 76 95 25 70 60 13 32 52 11 87 38 49 01 82 84 99 02 64 00
8 58 90 07 84 20 98 57 93 36 65 10 71 83 93 42 46 34 61 44 01
9 54 74 67 11 15 78 21 96 43 14 11 22 74 17 02 54 51 78 76 76
10 56 81 92 73 40 07 20 05 26 63 57 86 48 51 59 15 46 09 75 64
11 34 99 06 21 22 38 22 32 85 26 37 00 62 27 74 46 02 61 59 81
12 02 26 92 27 95 87 59 38 18 30 95 38 36 78 23 20 19 65 48 50
13 43 04 25 36 00 45 73 80 02 61 31 10 06 72 39 02 00 47 06 98
14 92 56 51 22 11 06 86 88 77 86 59 57 66 13 82 33 97 21 31 61
15 67 42 43 26 20 60 84 18 68 48 85 00 00 48 35 48 57 63 38 84
Need to use
Random
Number Table
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How to Use a Table of Random Numbers to Select a Sample
Your marketing research lecturer wants to randomly select 20 students from
your class of 100 students. Here is how he can do it using a random number table.
Step 1: Assign all the 100 members of the population a unique number.You may
identify each element by assigning a two-digit number. Assign 01 to the first name
on the list, and 00 to the last name. If this is done, then the task of selecting the
sample will be easier as you would be able to use a 2-digit random number table.
NAME NUMBER NAME NUMBER
Adam, Tan 01 Tan Teck Wah 42
Carrol, Chan 08 Tay Thiam Soon 61
. .. Jerry Lewis 18 Teo Tai Meng 87
. .
Lim Chin Nam 26
. Yeo Teck Lan 99
Singh, Arun
30 Zailani bt Samat 00
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Step 2: Select any starting point in the Random Number Table and find the first number that
corresponds to a number on the list of your population. In the example below, # 08 has been
chosen as the starting point and the first student chosen is Carol Chan.
10 09 73 25 33 76
37 54 20 48 05 64
08 42 26 89 53 19
90 01 90 25 29 09
12 80 79 99 70 80
66 06 57 47 17 34
31 06 01 08 05 45
Step 3: Move to the next number, 42 and select the person corresponding to that number into
the sample. #87 Tan Teck Wah
Step 4: Continue to the next number that qualifies and select that person into the sample.
# 26 -- Jerry Lewis, followed by #89, #53 and #19
Step 5: After you have selected the student # 19, go to the next line and choose #90. Continue
in the same manner until the full sample is selected. If you encounter a number selected
earlier (e.g., 90, 06 in this example) simply skip over it and choose the next number.
Star ting po int :
mo ve r ight to the end
of the row, then down
to the next row row;
mo ve left to the end,
then down to the nextrow, and so on.
How to use random number table to select a random sample
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Conventional approach of Sample size
determination
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Sample sizes used in different marketing research studies
TYPE OF STUDY MINIMUM
SIZE
TYPICAL
RANGE
Identifying a problem (e.g.marketsegmentation) 500 1000-2500
Problem-solving (e.g., promotion) 200 300-500
Product tests 200 300-500
Advertising (TV, Radio, or print Media
per commercial or ad tested) 150 200-300
Test marketing 200 300-500Test market audits 10
stores/outlets
10-20
stores/outlets
Focus groups 2 groups 4-12 groups
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Sample size
Example
A publishing wants to know what percent of thepopulation might be interested in a new magazine onmaking the most of your retirement. Secondary data
(that is several years old) indicates that 22% of thepopulation is retired. They are willing to accept an errorrate of 5% and they want to be 95% certain that theirfinding does not differ from the true rate by more than
5%. What is the required sample size? http://www.statpac.com/statistics-calculator/
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Sample size calculator
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Sample size calculator
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Output from sample size calculator
Best estimate of the population size: (left blank)
Best estimate of the rate in the population (%): 22
Maximum acceptable difference (%): 5
Desired confidence level (%): 95
Required sample size = 263
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Graphical Depiction of SamplingErrors
Total Population
Sampling Frame Error
Random Sampling Error
Sampling Frame
Planned
Sample
Non-Response Error
Respondents(actual
sample)
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Specifying the sampling method
Probability Sampling
Every element in the target population or universe [sampling
frame] has equal probability of being chosen in the sample for the
survey being conducted.
Scientific, operationally convenient and simple in theory.
Results may be generalized.
Non-Probability Sampling
Every element in the universe [sampling frame] does not have
equal probability of being chosen in the sample. Operationally convenient and simple in theory.
Results may not be generalized.
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Probability Sampling
Appropriate for
homogeneous population
Simple random sampling Requi res the use of a
random number table.
Systematic sampl ing
Requi res the sample frame
only, No random number table is
necessary
Appropr iate for
heterogeneous population
Stratif ied sampling Use of random number table
may be necessary
Cluster sampling
Use of random number table
may be necessary
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Four types of probabil i ty sampling
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Choosing Probability vs. Non-Probability
sampling
Probability Evaluation Cri teri a Non-probabilitysampling samplingConclusive Nature of r esearch Exploratory
Larger sampling Relative magni tude Larger non-sampling
errors sampling vs. errornon-sampling error
High Population vari abil ity Low[Heterogeneous] [Homogeneous]
Favorable Statistical Considerations Unfavorable
High Sophistication Needed Low
Relatively Longer Time Relatively shorter
High Budget Needed Low
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Stratified sample
To choose a stratified sample, divide the population into groups
called strata and then take a sample from each stratum.
For example, you could stratify (group) your college population
by department and then choose a simple random sample from
each stratum (each department) to get a stratified random sample. To choose a simple random sample from each department,
number each member of the first department, number each
member of the second department and do the same for the
remaining departments. Then use simple random sampling tochoose numbers from the first department and do the same for
each of the remaining departments. Those numbers picked from
the first department, picked from the second department and so
on represent the members who make up the stratified sample.Dr. Chandan A Chavadi, Associate Professor , Presidency Business School, Bangalore
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Cluster sample
To choose a cluster sample, divide the population intostrata and then randomly select some of the strata. Allthe members from these strata are in the cluster sample.
For example, if you randomly sample four departments
from your stratified college population, the fourdepartments make up the cluster sample. You could dothis by numbering the different departments and thenchoose four different numbers using simple random
sampling. All members of the four departments withthose numbers are the cluster sample.
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Systematic sample
To choose a systematic sample, randomly select astarting point and take every nth piece of data from alisting of the population.
For example, suppose you have to do a phone survey.
Your phone book contains 20,000 residence listings.You must choose 400 names for the sample. Numberthe population 1 - 20,000 and then use a simple randomsample to pick a number that represents the first nameof the sample. Then choose every 50th name thereafter
until you have a total of 400 names (you might have togo back to the of your phone list). Systematic samplingis frequently chosen because it is a simple method.
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Determine the type of sampling used (simple
random, stratified, systematic, cluster)
1. A soccer coach selects 6 players from a group of boysaged 8 to 10, 7 players from a group of boys aged 11 to 12,and 3 players from a group of boys aged 13 to 14 to form arecreational soccer team.
2. A pollster interviews all human resource personnel in five
different high tech companies.3. An engineering researcher interviews 50 women engineers
and 50 men engineers.
4. A medical researcher interviews every third cancer patientfrom a list of cancer patients at a local hospital.
5. A high school counselor uses a computer to generate 50random numbers and then picks students whose namescorrespond to the numbers.
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Solutions
1) Stratified
2) Cluster
3) Stratified
4) Systematic
5) Simple random
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Which Statistical test to use?
http://www.ats.ucla.edu/stat/spss/whatstat/
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Non-probability samples
Convenience sampling
Drawn at the convenience of the researcher. Common in exploratory research.
Does not lead to any conclusion.
Judgmental sampling
Sampling based on some judgment, gut-feelings or exper ience of the researcher.
Common in commercial marketing research projects. I f inference drawing is not
necessary, these samples are quite useful.
Quota sampling
An extension of judgmental sampling. I t is something l ike a two-stage judgmental
sampli ng. Quite dif fi cult to draw.
Snowball sampling
Used in studies involving respondents who are rare to f ind. To start with, the
researcher compiles a shor t l ist of sample units from various sources. Each of
these respondents are contacted to provide names of other probable respondents.
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Data Analysis and Interpretation
Analysis of Data is done using statistical tools
followed by interpretation
Facts of similar research add value to the
interpretation
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Chi-square Example
A drug manufacturing company conducted a survey of customers.The research question is: Is there a significant relationship between
packaging preference (size of the bottle purchased) and economicstatus? There were four packaging sizes: small, medium, large, and
jumbo. Economic status was: lower, middle, and upper. Thefollowing data was collected.
lower middle upper
small 24 22 18 medium 23 28 19
large 18 27 29
jumbo 16 21 33
------------------------------------------------
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Chi-square Output
Chi-square statistic = 9.743
Degrees of freedom = 6
Probability of chance = .1359
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Findings
Summarizes the various outcomes of the study
Must answer all the objectives of study
(Research Objectives)
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Example of Research Design
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Example of Research Design
Do private brands result in store loyalty? An empirical study
in Bangalore
Research approach - Exploratory study - explorethe factors from LR, interacting with organizedretailers and customersoutcome - 30 attributes
Pretestingwith 25 respondentsoutcome -
finalized 20 attributes which affect store choice First phase - exploration of attributes
Second phase - Association between importantvariables
Third phasecontribution of private labels interms of total sales and growth rate
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Sampling method - convenience sampling
Sample framework - organized retailers
Sample units - customers visiting shoppers stop,
lifestyle, Food world, etc Number of sample units - 350 customers and 25
organized retailers
Data collection mode - Personal interview using
structured questionnaire Duration - March 2010 to June 2010
Statistical tools -Chi-square and factor analysis
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Managerial Implications
Takeaways to management
Explores the variables which impact the
business operations
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Conclusion
The vital information that author wishes to
communicate it to the reader
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Scope for future research
Possibility areas of future research
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Limitations of the Study
The article may have any limitations.
Limitations of the sample
Limitations of sampling technique
Limitations of subject scope
Talks what the article couldnt cover
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References
The sources of secondary data to be
mentioned.
Follow the standards of writing references
APA: American Psychological Association Style
MLA: Modern Language Association Style
CMS: Chicago Manual Style
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Modern Language Association Style(MLA)
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Book with one author
Author's last name, First name and Initial. Title underlined. Publication
location:
Publishing company, year.
example:
Townsend, Robert M. The Medieval Village Economy. Princeton: Princeton UP,
1993.
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Chicago Manual Style (CMS)
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Book with one author
Author's last name, First name and Initial. title italics. Publication location:
Publishing company, Year.
example:
Townsend, Robert. The Medieval Village Economy. Princeton: Princeton
University
Press, 1993.
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Appendix
Any additional information that supports the article.
The information will enable the reader to understand
the article in a better way.
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What factors are considered in judging
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What factors are considered in judging
papers?
1) Whats new?
- Does the paper make a significant, value added
contribution to current thinking?
2) So What?- Will the results likely change practice of the
organization?
- Are solutions proposed for remedying allegeddeficiencies in current theories
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3) Why so?
- Are the underlying logic and supporting evidencecompelling?
- Are the authors assumption explicit?
- Are the authors views believable?
4) Well done?
- Does the paper reflect seasoned thinking, conveying
completeness and thoroughness?- Do the arguments reflect a broad, current
understanding of the subject?
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5) Done well?- Is the paper well written?
- Does it flow logically?
- Is it well done?
- Does the papers appearance reflect high professionalstandards?
6) Why now?
- Is this topic of contemporary interest to scholars in this
area?- Will it likely advance current discussions, stimulate
new discussions or revitalize old discussions?
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Outlook of a Research Based
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Outlook of a Research Based
Article
Header, Title, Author
Abstract
Introduction
Review of Literature
Research Objectives
Research design
Data Analysis andInterpretation
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Managerial Implications
Conclusion
Future Research
Limitation of study
References
Appendix
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Outlook of an Abstract Article
Header, Title, Author
Abstract
Introduction
Industry
Significance of study
Applications of the study Conclusion
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List of indian journals
http://www.indianajournals.com/indiana%20Jo
urnals.asp
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