MKT 400 Marketing Research
MKT 400 Marketing Research
Lecture 3
Lecture 3
Dr. Anjala Krishen
Dr. Anjala Krishen
Dept. of Marketing
Dept. of Marketing
2 2
Research Design:
Research Design:
Delineating What Data to
Delineating What Data to
Collect and How to Collect It
Collect and How to Collect It
the type of information to be collected
the type of information to be collected
(consistent with the project objectives)
(consistent with the project objectives)
possible data sources
possible data sources
the data collection procedure
the data collection procedure
(accurate, economical and timely)
(accurate, economical and timely)
A research design is the basic plan
A research design is the basic plan
that guides data collection and
that guides data collection and
analysis. It must specify:
A Classification of Marketing
A Classification of Marketing
Research Designs
Research Designs
Single Single Cross-Sectional Sectional Design Design Multiple Multiple Cross-Sectional Sectional Design Design Research Design Research Design Conclusive Conclusive Research Research Design Design Exploratory Exploratory Research Research Design Design Descriptive Descriptive Research Research Causal Causal Research Research Cross-Sectional Sectional Design Design Longitudinal Longitudinal Design Design4 4
Exploratory & Conclusive Research
Exploratory & Conclusive Research
Differences
Differences
Objective: Objective: Character-istics: istics: Findings/ Findings/ Results: Results: Outcome: Outcome:To provide insights and
To provide insights and
understanding.
understanding.
Information needed is
Information needed is
defined only loosely.
defined only loosely.
Research process is
Research process is
flexible and unstructured.
flexible and unstructured.
Sample is small and
Sample is small and
non-representative. Analysis representative. Analysis of primary data is of primary data is qualitative. qualitative. Tentative. Tentative. Generally followed by Generally followed by further exploratory or further exploratory or
To test specific hypotheses
To test specific hypotheses
and examine relationships.
and examine relationships.
Information needed is
Information needed is
clearly defined. Research
clearly defined. Research
process is formal and
process is formal and
structured. Sample is large
structured. Sample is large
and representative. Data
and representative. Data
analysis is quantitative.
analysis is quantitative.
Conclusive.
Conclusive.
Findings used as input into
Findings used as input into
decision making.
decision making.
E
3-1c Conclusive Research: Narrowing
3-1c Conclusive Research: Narrowing
Down Strategic Alternatives
Down Strategic Alternatives
Descriptive research
Descriptive research
characterizes
characterizes
marketing phenomena without testing for
marketing phenomena without testing for
cause-and-effect relationships. It is used for:
cause-and-effect relationships. It is used for:
determining the frequency of certain marketingdetermining the frequency of certain marketing
phenomena
phenomena
determining the degree of association betweendetermining the degree of association between
marketing variables
marketing variables
making predictions regarding marketingmaking predictions regarding marketing
phenomena
phenomena
Causal research
Causal research
gathers evidence on cause-
gathers evidence on
cause-Conclusive research aims to narrow the field
Conclusive research aims to narrow the field
of strategic alternatives down to one.
of strategic alternatives down to one.
Two
Two
types:
6 6
Designs
Designs
Objective: Objective: Characteristics Characteristics : : Methods: Methods: Discovery of Discovery of ideas and ideas and insights insights Flexible, Flexible, versatile versatileOften the front
Often the front
end of total end of total research design research design Expert surveys Expert surveys Pilot surveys Pilot surveys Secondary Secondary data: data: Describe market Describe market characteristics or characteristics or functions functions Marked by the Marked by the prior formulation prior formulation of specific of specific hypotheses hypotheses Preplanned and Preplanned and structured design structured design Secondary data: Secondary data: quantitative quantitative analysis analysis Surveys Surveys Panels Panels Determine cause Determine cause and effect and effect relationships relationships Manipulation of Manipulation of one or more one or more independent independent variables variables Control of other Control of other mediating mediating variables variables Experiments Experiments E Exxpplloorraattoorryy DDeessccrriippttiivvee CausalCausal
Uses of Exploratory Research
Uses of Exploratory Research
Formulate a problem or define a problemFormulate a problem or define a problem
more precisely
more precisely
Identify alternative courses of actionIdentify alternative courses of action
Develop hypothesesDevelop hypotheses
Isolate key variables and relationships forIsolate key variables and relationships for
further examination
further examination
Gain insights for developing an approachGain insights for developing an approach
to the problem
to the problem
8 8
Use of Descriptive
Use of Descriptive
Research
Research
To describe the characteristics of To describe the characteristics of relevantrelevant
groups, such as
groups, such as consumers, salespeople,consumers, salespeople,
organizations, or market areas.
organizations, or market areas.
To estimate the percentage of units in a To estimate the percentage of units in a
specified population exhibiting a certain
specified population exhibiting a certain
behavior.
behavior.
To determine the perceptions of product To determine the perceptions of product
characteristics.
characteristics.
To determine the degree to which marketing To determine the degree to which marketing
variables are associated.
variables are associated.
Research
Research
1.
1. Market sMarket studietudies that dess that describe tcribe the size ohe size of the markef the market,t,
buying power of the consumers, availability of
buying power of the consumers, availability of
distributors, and consumer profiles.
distributors, and consumer profiles.
2.
2. Market shMarket share studare studies that deties that determiermine the propne the proportioortionn
of total sales received by a company and its
of total sales received by a company and its
competitors.
competitors.
3.
3. Sales anSales analysialysis studs studies that dies that descriescribe sales bbe sales byy
geographic region, product line, type, and size of
geographic region, product line, type, and size of
the account.
the account.
4.
4. Image stuImage studies that detdies that determinermine consume consumer perceer perceptionptionss
of the firm and its
of the firm and its products.products.
5.
5. ProduProduct usage stct usage studieudies that descs that describe conribe consumpsumptiontion
patterns.
patterns.
6.
6. DistrDistributiibution studon studies that deies that determitermine traffne traffic flowic flow
patterns, and the number and location of
patterns, and the number and location of
distributors.
distributors.
7.
7. PricinPricing studg studies thies that desat describe tcribe the ranghe range ande and
frequency of price changes and
10 10
When is Causal Research
When is Causal Research
Appropriate?
Appropriate?
Causal research is appropriate to use
Causal research is appropriate to use
when the purposes are to understand
when the purposes are to understand
which variables are the cause and
which variables are the cause and
which variables are the effect, and to
which variables are the effect, and to
determine the nature of the
determine the nature of the
functional relationship between the
functional relationship between the
causal variables and the effect to be
causal variables and the effect to be
predicted.
predicted.
What is a good example of causal
What is a good example of causal
research?
Cross-sectional
Cross-sectional
Designs
Designs
Involve the collection of information from anyInvolve the collection of information from any
given sample of population elements only once.
given sample of population elements only once.
InIn single cross-sectional designs,single cross-sectional designs, there is onlythere is only
one sample of respondents and information is
one sample of respondents and information is
obtained from this sample only once.
obtained from this sample only once.
InIn multiple cross-sectional designsmultiple cross-sectional designs,, there arethere are
two or more samples of respondents, and
two or more samples of respondents, and
information from each sample is obtained only
information from each sample is obtained only
once.
once. Often, Often, information information from from different different samples samples isis
obtained at different times.
obtained at different times.
Cohort analysisCohort analysis consists of a series of surveysconsists of a series of surveys
conducted at appropriate time intervals, where
conducted at appropriate time intervals, where
the c
the cohort sohort serves erves as the as the basic ubasic unit of nit of analysis. analysis. AA
cohort is a group of respondents who experience
cohort is a group of respondents who experience
the same event within the same time interval.
12 12
Longitudinal
Longitudinal
Designs
Designs
A fixed sample (or samples) of A fixed sample (or samples) of
population elements is measured
population elements is measured
repeatedly on the same variables
repeatedly on the same variables
A longitudinal design differs from aA longitudinal design differs from a
cross-sectional design in that the
cross-sectional design in that the
sample or samples remain the same
sample or samples remain the same
over time
-
-
.
.
Longitudinal
Longitudinal
Sample Sample Surveye Surveye d at T d at T11 Sample Sample Surveyed Surveyed at T at T11 Same Same Sample Sample also also Surveyed Surveyed at T at T22 T T11 T T 2 2 Cross-Sectiona Sectiona l Design l Design Longitudina Longitudina l Design l Design Time Time14 14
Uses of Casual
Uses of Casual
Research
Research
To understand which variables are the cause To understand which variables are the cause
(independent variables) and which variables
(independent variables) and which variables
are the effect (dependent variables) of a
are the effect (dependent variables) of a
phenomenon
phenomenon
To determine the nature of the relationship To determine the nature of the relationship
between the causal variables and the effect
between the causal variables and the effect
to be predicted
to be predicted
Designs
Designs
Exploratory Exploratory Research Research ••Secondary DataSecondary DataAnalysis Analysis
•• Focus Groups Focus Groups
Conclusive Research Conclusive Research • • Descriptive/Causal Descriptive/Causal Conclusive Research Conclusive Research •• Descriptive/Causal Descriptive/Causal Exploratory Exploratory Research Research •
•Secondary DataSecondary Data
Analysis
Analysis
•
• Focus Groups Focus Groups
Conclusive Research Conclusive Research •• Descriptive/Causal Descriptive/Causal (a) (a) (b) (b) (c) (c)
16 16
Secondary Data
Secondary Data
internal secondary data generated
internal secondary data generated
within the organization
within the organization
lower costlower cost
accurateaccurate
more availablemore available
external secondary data – generated by
external secondary data – generated by
government or syndicated sources
government or syndicated sources
government publicationsgovernment publications
trade association datatrade association data
booksbooks bulletinsbulletins reportsreports periodicalsperiodicals
Role of Secondary Data
Role of Secondary Data
first step in data collection: determine
first step in data collection: determine
whether the data have already been
whether the data have already been
collected
collected
advantages of secondary data
advantages of secondary data
less expensive and time-consuming to collectless expensive and time-consuming to collect
aid formulation of decision problemaid formulation of decision problem
suggest methods for meeting information needssuggest methods for meeting information needs
source of comparative data for primary datasource of comparative data for primary data
disadvantages of secondary data
disadvantages of secondary data
don't exactly fit the information needs of thedon't exactly fit the information needs of the
project
project
aggregated without the breakdown or cross-aggregated without the breakdown or
cross-tabulations required by the project
18 18