Transcript Chapter Three - Directory UMM

Chapter Three
Research Design
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Chapter Outline
1)
2)
3)
4)
5)
Overview
Research Design: Definition
Research Design: Classification
Exploratory Research
Descriptive Research
i. Cross-Sectional Design
ii. Longitudinal Design
iii. Advantages and Disadvantages of Longitudinal
and Cross-Sectional Designs
6) Causal Research
7) Relationships Among Exploratory, Descriptive, and
Causal Research
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Chapter Outline
8) Potential Sources of Error
i. Random Sampling Error
ii. Non-sampling Error
a. Non-response Error
b. Response Error
9) Budgeting and Scheduling
10) Marketing Research Proposal
11) International Marketing Research
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Chapter Outline
12)
13)
15)
14)
15)
Ethics in Marketing Research
Internet and Computer Applications
Focus on Burke
Summary
Key Terms and Concepts
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Research Design: Definition
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A research design is a framework or
blueprint for conducting the marketing
research project. It details the
procedures necessary for obtaining the
information needed to structure or solve
marketing research problems.
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Components of a Research Design
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Define the information needed (Chapter 2)
Design the exploratory, descriptive, and/or causal
phases of the research (Chapters 3 - 7)
Specify the measurement and scaling procedures
(Chapters 8 and 9)
Construct and pretest a questionnaire (interviewing
form) or an appropriate form for data collection
(Chapter 10)
Specify the sampling process and sample size
(Chapters 11 and 12)
Develop a plan of data analysis (Chapter 14)
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A Classification of Marketing Research Designs
Fig. 3.1
Research Design
Conclusive
Research Design
Exploratory
Research Design
Descriptive
Research
Cross-Sectional
Design
Single CrossSectional Design
Longitudinal
Design
Multiple CrossSectional Design
Causal
Research
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Exploratory & Conclusive Research Differences
Table 3.1
Exploratory
Conclusive
Objective:
To provide insights and
understanding.
To test specific hypotheses and
examine relationships.
Characteristics:
Information needed is defined
only loosely. Research process
is flexible and unstructured.
Sample is small and nonrepresentative. Analysis of
primary data is qualitative.
Information needed is clearly
defined. Research process is
formal and structured. Sample is
large and representative. Data
analysis is quantitative.
Findings
/Results:
Tentative.
Conclusive.
Outcome:
Generally followed by further
exploratory or conclusive
research.
Findings used as input into
decision making.
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A Comparison of Basic Research Designs
Table 3.2
Exploratory
Descriptive
Causal
Objective:
Discovery of ideas Describe market
and insights
characteristics or
functions
Determine cause
and effect
relationships
Characteristics:
Flexible, versatile
Marked by the prior
formulation of
specific hypotheses
Manipulation of
one or more
independent
variables
Often the front
end of total
research design
Preplanned and
structured design
Expert surveys
Pilot surveys
Secondary data
Qualitative
research
Secondary data
Surveys
Panels
Observation and
other data
Methods:
Control of other
mediating
variables
Experiments
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Uses of Exploratory Research
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Formulate a problem or define a
problem more precisely
Identify alternative courses of action
Develop hypotheses
Isolate key variables and relationships
for further examination
Gain insights for developing an
approach to the problem
Establish priorities for further research
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Methods of Exploratory Research
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Survey of experts (discussed in Chapter
2).
Pilot surveys (discussed in Chapter 2).
Secondary data analyzed in a qualitative
way (discussed in Chapter 4).
Qualitative research (discussed in
Chapter 5).
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Use of Descriptive Research
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To describe the characteristics of relevant
groups, such as consumers, salespeople,
organizations, or market areas.
To estimate the percentage of units in a
specified population exhibiting a certain
behavior.
To determine the perceptions of product
characteristics.
To determine the degree to which marketing
variables are associated.
To make specific predictions
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Methods of Descriptive Research
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Secondary data analyzed in a quantitative as
opposed to a qualitative manner (discussed in
Chapter 4)
Surveys (Chapter 6)
Panels (Chapters 4 and 6)
Observational and other data (Chapter 6)
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Cross-sectional Designs
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Involve the collection of information from any given
sample of population elements only once.
In single cross-sectional designs, there is only
one sample of respondents and information is
obtained from this sample only once.
In multiple cross-sectional designs, there are
two or more samples of respondents, and information
from each sample is obtained only once. Often,
information from different samples is obtained at
different times.
Cohort analysis consists of a series of surveys
conducted at appropriate time intervals, where the
cohort serves as the basic unit of analysis. A cohort
is a group of respondents who experience the same
event within the same time interval.
Consumption of Various Soft Drinks
by Various Age Cohorts
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Table 3.3
Percentage consuming on a typical day
Age
1950
1960
1969
1979
8-19
20-29
30-39
40-49
50+
52.9
45.2
33.9
23.2
18.1
62.6
60.7
46.6
40.8
28.8
C1
73.2
76.0
67.7
58.6
50.0
C2
81.0
75.8
71.4
67.8
51.9
C3
born
born
born
born
prior to 1900
1901-10
1911-20
1921-30
C1:
C2:
C3:
C4:
cohort
cohort
cohort
cohort
C5:
C6:
C7:
C8:
cohort
cohort
cohort
cohort
born
born
born
born
C8
C7
C6
C5
C4
1931-40
1940-49
1950-59
1960-69
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Longitudinal Designs
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A fixed sample (or samples) of population
elements is measured repeatedly on the same
variables
A longitudinal design differs from a crosssectional design in that the sample or
samples remain the same over time
Relative Advantages and Disadvantages of
Longitudinal and Cross-Sectional Designs
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Table 3.4
Evaluation
Criteria
Detecting Change
Large amount of data collection
Accuracy
Representative Sampling
Response bias
Cross-Sectional
Design
+
+
Longitudinal
Design
+
+
+
-
Note: A “+” indicates a relative advantage over the other
design, whereas a “-” indicates a relative disadvantage.
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Cross-Sectional Data May Not Show Change
Table 3.5
Brand Purchased
Time Period
Period 1
Survey
Brand A
Brand B
Brand C
Total
200
300
500
1000
Period 2
Survey
200
300
500
1000
Longitudinal Data May Show
Substantial Change
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Table 3.6
Brand
Purchased
in Period 1
Brand A
Brand B
Brand C
Total
Brand Purchased in Period 2
Brand A
100
25
75
200
Brand B
50
100
150
300
Brand C
50
175
275
500
Total
200
300
500
1000
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Uses of Casual Research
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To understand which variables are the
cause (independent variables) and
which variables are the effect
(dependent variables) of a phenomenon
To determine the nature of the
relationship between the causal
variables and the effect to be predicted
METHOD: Experiments
Potential Sources of Error in
Research Designs
Fig. 3.2
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Total Error
Non-sampling
Error
Random
Sampling Error
Response
Error
Researcher
Error
Surrogate Information Error
Measurement Error
Population Definition Error
Sampling Frame Error
Data Analysis Error
Interviewer
Error
Respondent Selection Error
Questioning Error
Recording Error
Cheating Error
Non-response
Error
Respondent
Error
Inability Error
Unwillingness Error
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Errors in Marketing Research
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The total error is the variation between the true
mean value in the population of the variable of
interest and the observed mean value obtained in the
marketing research project.
Random sampling error is the variation between
the true mean value for the population and the true
mean value for the original sample.
Non-sampling errors can be attributed to sources
other than sampling, and they may be random or
nonrandom: including errors in problem definition,
approach, scales, questionnaire design, interviewing
methods, and data preparation and analysis. Nonsampling errors consist of non-response errors and
response errors.
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Errors in Marketing Research
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Non-response error arises when some of the
respondents included in the sample do not respond.
Response error arises when respondents give
inaccurate answers or their answers are misrecorded
or misanalyzed.
Citicorp Banks on Exploratory, Descriptive,
and Causal Research
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Marketing Research at Citicorp is typical in that it is used to
measure consumer awareness of products, monitor their
satisfaction and attitudes associated with the product, track
product usage and diagnose problems as they occur. To
accomplish these tasks Citicorp makes extensive use of
exploratory, descriptive, and causal research. Often it is
advantageous to offer special financial packages to specific
groups of customers. In this case, a financial package is
being designed for senior citizens.
The following seven-step process was taken by marketing
research to help in the design.
Citicorp Banks on Exploratory, Descriptive,
and Causal Research
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1) A taskforce was created to better define the market
parameters to include all the needs of the many Citicorp
branches. A final decision was made to include Americans
55 years of age or older, retired, and in the upper half of
the financial strata of that market.
Citicorp Banks on Exploratory, Descriptive,
and Causal Research
2) Exploratory research in the form of secondary data analysis
of the mature or older market was then performed and a study
of competitive products was conducted. Exploratory qualitative
research involving focus groups was also carried out in order to
determine the needs and desires of the market and the level of
satisfaction with the current products.
In the case of senior citizens,
a great deal of diversity was
found in the market. This
was determined to be due to
such factors as affluence,
relative age, and the
absence or presence of a
spouse.
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Citicorp Banks on Exploratory, Descriptive,
and Causal Research
3) The next stage of research was brainstorming. This
involved the formation of many different financial
packages aimed at the target market. In this case, a
total of 10 ideas were generated.
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Citicorp Banks on Exploratory, Descriptive,
and Causal Research
4) The feasibility of the 10 ideas generated in step 3 was then tested.
The ideas were tested on the basis of whether they were possible in
relation to the business. The following list of questions was used as
a series of hurdles that the ideas had to pass to continue on to the
next step.
• Can the idea be explained in a manner that the target
market will easily understand?
• Does the idea fit into the overall strategy of
Citicorp?
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Citicorp Banks on Exploratory, Descriptive,
and Causal Research
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 Is there an available description of a specific target market
for the proposed product?
 Does the research conducted so far indicate a potential
match for target market needs, and is the idea perceived to
have appeal to this market?
 Is there a feasible outline of the tactics and strategies for
implementing the program?
 Have the financial impact and cost of the program been
thoroughly evaluated and determined to be in line with
company practices?
In this study, only one idea generated from the brainstorming session
made it past all the listed hurdles and on to step 5.
Citicorp Banks on Exploratory, Descriptive,
and Causal Research
5) A creative work-plan was then generated. This plan was to
emphasize the competitive advantage of the proposed product as
well as better delineate the specific features of the product.
6) The previous exploratory research was now followed up with
descriptive research in the form of mall intercept surveys of people
in the target market range. The survey showed that the list of
special features was too long and it was decided to drop the
features more commonly offered by competitors.
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Citicorp Banks on Exploratory, Descriptive,
and Causal Research
7) Finally, the product was test marketed in six of
the Citicorp branches within the target market.
Test marketing is a form of causal research.
Given successful test marketing results, the
product is introduced nationally.
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Marketing Research Proposal
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Executive Summary
Background
Problem Definition/Objectives of the Research
Approach to the Problem
Research Design
Fieldwork/Data Collection
Data Analysis
Reporting
Cost and Time
Appendices
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The Greenfield of Online Research
Greenfield
Online
Research
Center,
Inc.
(http://www.greenfieldonline.com), based in Westport,
Connecticut, is a subsidiary of the Greenfield Consulting
Group. The Online Research Center conducts focus
groups, surveys, and polls over the Internet. The
company has built up a “panel” of close to 200,000
Internet users, from which it draws survey samples. The
samples may be used for descriptive research designs
like single or multiple cross-sectional designs, as well as
longitudinal designs. Causal designs can also be
implemented. Respondents may also be chosen from the
registered Internet users.
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The Greenfield of Online Research
Internet users wishing to take part in surveys and other
projects begin by registering online at the company’s Web site.
The registration consists of a “sign-up survey” that asks for email address, type of computer used, personal interests and
information about the respondent’s household.
Once an
Internet user is registered, Greenfield Online matches the user
with research studies that are well-suited to his or her interests.
Incentives to take part in focus groups or special surveys are
offered by the companies whose products or services are being
researched.
This incentive is cash or valuable prizes.
Incentives are also offered to Internet users to encourage them
to register with Greenfield’s Internet panel. New registrants
automatically qualify for prizes that are awarded in monthly
drawings.