Marketing research

Introduction to marketing research 

• IBM:
• In the year 2008 revenues of $103.6 billion,
conducts international tracking study twice a year in
14 different languages across 27 different countries
in Europe, North and South America and Asia to
capture trend data on main frame computing. The
result of such a study allows IBM to see how
successful it is in penetrating key industries and
how IBM equipment is used in large and small
businesses.

• Recipo:
• An application service provider, it gives its
clients the ability to view customer feedback the
second it is entered on their website, to capture
true word and emotion of the consumer. “Live”
marketing research.

• Portico research:
• It specializes in observing individuals recording
them on videos and selling these tapes for tens
of thousands of dollars to its major clients such
as Honda, Delta, Lipton and P&G. For Lipton:
to determine people’s attitudes towards tea.

• P&G
• It created a website www.toejam.com to target
teens. Company improved products also based on
feedbacks and chats.
• Marketing research has become global (IBM)
and real time (Recipo), is being conducted in a
specialized manner (Portico) and has become
much more integrated with marketing (P&G)

Definition: 

• According to the American Marketing Association:
• “Marketing research is the function that links the consumer,
customer and public to the marketer through information –
information used to identify and define marketing
opportunities and problems; generate, refine, and evaluate
marketing actions; monitor marketing performance; and
improve understanding of marketing as a process.”
• “Marketing research is the systematic and objective
identification, collection, analysis, dissemination and use of
information for the purpose of improving decision making
related the identification and solution of problems and
opportunities in marketing.”

Classification of Marketing Research: 

• To identify:
• Problem identification research
▪ Market Potential research
▪ Market Share research
▪ Image research
▪ Market characteristics Research
▪ Sales analysis Research
▪ Forecasting Research
▪ Business trends Research
• To solve:
• Problem solving Research
▪ Segmentation Research
▪ Product Research
▪ Pricing research
▪ Promotion Research
▪ Distribution research

• A survey of companies conducting marketing
research indicates that 97% of those who
responded were conducting market potential,
market share and market characteristics
research
• About 90% also reported that they were using
other types of problem identification research.
• Table 1.1: Problem solving research

• However problem identification and problem
solving research go hand in hand as shown
by Kellogg’s example in the case “Crunchy
nut Red adds color to Kellogg’s sales”
• Problem identification and problem solving
research not only go hand in hand as shown
by the Kellogg’s Example, but they also follow
a common marketing research process.

• Marketing Research Process:
• It is a set of six steps that defines the tasks to
be accomplished in conducting a marketing
research study. These include problem
definition, development of an approach to the
problem, research design formation, field work,
data preparation and analysis, and report
preparation.

• STEP 1:
• Problem definition:
▪ Purpose of study
▪ The relevant background information
▪ The information needed. How it will be used in decision
making.
• STEP 2:
• Development of an approach to the problem:
▪ An objective or theoretical framework
▪ Analytical methods
▪ Research questions
▪ Hypotheses
▪ Identify the information needed.

• STEP 3 :
• Research design Formulation:
▪ Research design is a blue print or a framework for conducting
the Marketing research Project. It involves following steps:
▪ Definition of the information needed
▪ Secondary data analysis
▪ Qualitative research
▪ Methods of collecting quantitative data (survey, observation and
experimentation)
▪ Measurement and scaling procedures
▪ Questionnaire design
▪ Sampling process and sample size
▪ Plan of data analysis

• STEP 4:
• Field work or Data Collection
• Step 5:
• Data Preparation and analysis.
▪ Editing
▪ Coding
▪ Transcription and verification of data
• STEP 6:
• Report preparation and presentation
▪ Addressing the specific research
▪ Questions identified
▪ Describing the approach
▪ The research design
▪ Data collection
▪ Data analysis procedure adopted
▪ Results and major findings

• The nature of marketing research:
• Fig: 1.2: The role of marketing research
• Case study: Johnson and Johnson introduced
gentle aspirin for babies which failed in the
market.

• Marketing research suppliers and
services:
• Fig: 1.3: Marketing research suppliers and
services:

• The role of MR in MIS and DSS
• MIS: Marketing information system: A formalized
set of procedures for generating, analyzing,
storing and distributing pertinent information to
marketing decision makers on an ongoing
business.
• DSS: Decision support systems: Information
systems that enable decision makers to interact
directly with both databases and analysis models.

• MIS
• Structured problems
• Use of reports
• Rigid structures
• Information displaying restricted
• Can improve decision making by clarifying the raw data
• DSS
• Unstructured problems
• Use of models
• User friendly interactions
• Adaptability
• Can improve decision making by using “what if” analysis.

International Marketing Research: 

• Some Facts:
• US accounts for only 39% of the MR
expenditure worldwide.
• 40% of MR is conducted in western Europe.
• 9% of MR is conducted in Japan
• Most of European research is done in
Germany, UK, France, Italy and Spain.

CHAPTER 2
• Defining the marketing research problem and
developing an approach
• Harley goes Whole Hog:
▪ Comeback in 2000s- so that there was a long waiting list to get a bike
▪ In 2001, HD’s revenue exceeded $3.3 billion.
▪ Distributors urged HD to build more motorcycles but the company was
skeptical about investing in new production facilities.
▪ The management decision problem was “should HD invest to produce
more motorcycles?”
• Importance of defining a problem:
• Problem definition: A broad statement of the general problem
and identification of the specific components of the marketing
research problem. All efforts, time , money spent will be wasted
if the problem is misunderstood or ill defined.

• The process of defining the problem and developing an
approach:
• Fig: 2.1
• Tasks Involved:
• Discussions with decision makers.
• Interviews with industry experts
• Secondary data analysis
• Qualitative research
• Environmental context of the problem:
• Past information and forecasts
• Resources and constraints
• Objectives
• Buyer behavior
• Legal environment
• Economic environment
• Marketing and technological skills.

• Management decision problem and marketing
research problem
• Defining marketing research problem:
• Broad statement - specific components
• Components of the approach:
• Objective / theoretical framework
• Analytical model
• Research questions
• Hypotheses:
▪ An unknown statement or proposition about a factor or
phenomenon that is of interest to researcher.
• Specification of information needed.

• Cases:
• 1.1 Life in fast lane: fast food chains race to be number one.
• 1.2 Nike sprints ahead of the competition, yet has a long
way to run.
• 1.3 Lexus Imparting value to luxury and luxury to value.

• Video Cases:
• Burke: Learning and growing through MR (www.burke.com)
• Accenture: the accent is in the name (www.accenture.com)

Research Design formulation

• A research design is formulated after:
• The problem has been defined
• The approach developed

Research design

• Types of research design:
• Exploratory
• Conclusive
▪ Descriptive
▪ Causal
• At a broad level two main types of research
designs are employed in marketing research:
• Exploratory
• conclusive

• Exploratory research involves sec0ndary
data and qualitative research.
• Descriptive research makes use of survey
and observation methods
• The major methodology used in causal
designs is experimental

Example
• In a study of cause related marketing,
exploratory research in the form of secondary
data analysis and focus groups was
conducted to identify the social causes that
American businesses should be concerned
about. As a result the following causes were
identified as salient :
• Child care, drug abuse, public education, hunger,
crime, environment, medical research and poverty.

• Then conclusive research in the form of a descriptive
cross sectional survey was undertaken to quantify how
and why causes related marketing influences,
consumer’s perception of the company and brands to
determine the relative salience of the causes identified in
exploratory research.
• A random sample of 2,000 Americans was surveyed by
telephone. About 61% of the respondents said that when
price and quality are equal, they would switch brands or
stores to companies that support good causes that help
in the local or national level.

• The survey also revealed that 68% of the
consumers would pay more for a product
that is linked to a good cause. Company
support of good causes produces a more
positive image and greater trust of the
company according to 66% of those
surveyed.

• In keeping with these findings, Starbucks
wants to help the environment by
providing a new “eco-friendly” coffee cup.
The company also has initiatives to help
small coffee bean farmers, local
community programs and charitable
giving. There are even employee
incentives and awards for volunteering for
these causes.

Research design: Definition

• A research design is a framework or blueprint
for conducting the marketing research project. It
specifies the details of the procedures
necessary for obtaining the information needed
to structure and / or solve marketing research
problems.

• Typically a research design involves the following
components or tasks:
• Define the information needed.
• Define the exploratory , descriptive and/or causal phases of
the research.
• Specify the measurement and scaling process and
procedures.
• Construct and pretest a questionnaire (interview form) or an
appropriate form for data collection.
• Specify the sampling process and sample.
• Develop a plan of data analysis.

Research Design : Classification
Research Design

Exploratory Conclusive

Descriptive Causal

Cross Sectional Longitudinal

Single cross Multiple Cross
sectional sectional

• Exploratory Research:
• One type of research design, which has as it’s primary objective the
provision of insights into, and comprehension of the problem situation
confronting the researcher.
• The primary aim of the exploratory research is to provide insights, into,
and an understanding of, the problem confronting the researcher.
• Exploratory research is used in cases when you must define the
problem more precisely, identify relevant courses of action, or gain
additional insights before an approach can be developed. The
information needed is only loosely defined at this stage, and the
research process that is adopted is flexible and unstructured. For
example: personal interviews with the industry experts. Primary data is
qualitative but small and non representative in nature. So findings are
tentative and can be an input for further research.

• Conclusive Research:
• Research designed to assist the decision maker in determining,
evaluating and selecting the best course of action to take in a
given situation.
• Conclusive research is typically more formal and structured then
exploratory research.
• It is based on large representative samples and the data obtained
are subjected to quantitative analysis. The findings from this
research are considered to be conclusive in nature in that they are
used as input into managerial decision making.
• Conclusive research decisions can be either descriptive or causal
and descriptive research designs may be either cross sectional or
longitudinal.

Research Design


Descriptive Causal

Cross Sectional Longitudinal

Single cross Multiple Cross
sectional sectional

Differences Between Exploratory and Conclusive Research


Objective: To Provide insights and To test hypothesis and
understanding. examine relationships.

Characteristics: Information needed is Information needed is
defined only loosely. clearly defined.
Research process is Research process is
Findings/ results: Tentative. Conclusive.

Outcome: Generally followed by Findings used as input
further exploratory or into decision making.
conclusive research.

A comparison of the basic research designs

Exploratory Descriptive Causal

Objective: Discover ideas and Describe market Determine the
insights characteristics or cause and effect
functions. relationships.
Characteristics: Flexible, Marked by the Manipulation of
Versatile, Often prior formulation one or more
the front end of of specific independent
the total design hypothesis. variables. Control
Methods: Expert Surveys, Secondary Data, Experiments.
Pilot Surveys, Surveys, Panels,
Secondary Data, Observational and
Qualitative other data.

Exploratory Research

• Objective is to explore or search through a problem
or situation to provide insights and understanding.
• Purpose:
• Formulate a problem or define a problem more precisely.
• Identify alternative courses of action.
• Develop hypothesis.
• Isolate key variables and relationships for further
examination.
• Gain insights for developing an approach to the problem.
• Establish priorities for further research.

• The creativity and ingenuity of the researcher plays a major
role in exploratory research. Researchers are alert to new
ideas and insights as they proceed. Once a new idea or insight
is discovered, they may redirect their exploration in that
direction.
• Yet the ability of the researcher are not the sole determinations
of good exploratory research. Exploratory research can
generally benefit from the use of following methods:
• Survey of experts.
• Pilot Surveys
• Secondary data analyzed in a qualitative way.
• Qualitative research.

Descriptive Research

• A type of conclusive research that has as its
major objective the description of something-
usually market characteristics or functions.
• It assumes that the researcher has much
prior knowledge about the problem situation.
• It is preplanned and structured.
• A descriptive design requires a clear
specification of the who, what, when, where,
why and way of the research.

• Purpose:
• 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.

• Descriptive research, in contrast to exploratory research
is marked by a clear statement of the problem, specific
hypotheses, and detailed information needs.
• Market studies.
• Market share studies.
• Sales analysis studies.
• Image studies.
• Product usages studies.
• Distribution studies.
• Pricing studies.
• Advertising studies.

Methods of Descriptive Research

• Secondary data analyzed in a quantitative
as opposed to a qualitative manner.
• Surveys.
• Panels.
• Observational and other data.

Cross-sectional Designs
• Involves 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.
• To predict changes
• Find trends
• 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
Table 3.3
Percentage consuming on a typical day

Age 1950 1960 1969 1979

8-19 52.9 62.6 73.2 81.0
20-29 45.2 60.7 76.0 75.8
C8
30-39 33.9 46.6 67.7 71.4
C7
40-49 23.2 40.8 58.6 67.8
C6
50+ 18.1 28.8 50.0 51.9
C5
C1 C2 C3
C4

C1: cohort born prior to 1900 C5: cohort born 1931-40
C2: cohort born 1901-10 C6: cohort born 1940-49

Longitudinal Designs
• A fixed sample (or samples) of population elements is
measured repeatedly on the same variables
• A longitudinal design differs from a cross-sectional
design in that the sample or samples remain the same
over time. In other words, the same people are studied
over time and the same variables are measured.
• How did the American people rate the performance of George
w. Bush immediately after the war in Afghanistan?
▪ Cross sectional design
• How did the American people change their view of Bush’s
performance during the war in Afghanistan?
▪ Longitudinal design

Relative Advantages and Disadvantages of  
Longitudinal and Cross-Sectional Designs
Table 3.4

Evaluation Cross-Sectional Design Longitudinal
Criteria Design

Detecting Change - +
Large amount of data collection - +
Accuracy - +
Representative Sampling + -
Response bias + -

Note: A “+” indicates a relative advantage over the other design, whereas a “-”

indicates a relative disadvantage.

“A major advantage of longitudinal design over the cross sectional design is the
ability to detect change as a result of repeated measurement of the same variables
on the same sample.”

• Another advantage of the panels is that relatively large
amount of data can be collected, because panel
members are usually compensated for their participation,
they are willing to participate in lengthy and demanding
interviews.
• Panel data can be more accurate than cross sectional
data.
• The main disadvantage of panels is that they may not be
representative because:
• Refusal to cooperate (40% or more)
• Mortality (20% a year)
• Payment

Causal Research
• A type of conclusive research where the major objective is to
obtain evidence regarding cause-and-effect (causal) relationship.
• It requires a planned and structured design.
• A relatively controlled environment is one in which the other
variables that may affect the dependent variable are controlled or
checked as much as possible. The effect of manipulation on one
or more dependent variables is then measured to infer
causability.
• In a departmental store, the presence and helpfulness of
salespeople (causal variable) will influence the sales of
housewares(effect variable).
• MeadWestvaco Experiment
▪ Does merchandise display affect sales?

Uses of Casual Research

• 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

Relationship among Exploratory,
Descriptive and Causal Research
• When little is known about the problem situation,
it is desirable to begin with exploratory research.
Exploratory research is appropriate when the
problem needs to be defined more precisely,
alternative courses of action identified, research
questions or hypotheses developed.
• Exploratory research is the initial step in the
overall research design framework. It should, in
most instances, be followed by descriptive or
causal research.

Citicorp Banks on Exploratory, Descriptive, 
and Causal Research

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.

and Causal Research

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.

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.

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.

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?

and Causal Research
• 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.

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.

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.

Potential Sources of Error in 
Research Designs
Fig. 3.2
Total Error

Random Non-sampling
Sampling Error Error

Response Non-response
Error Error

Researcher Interviewer Respondent
Error Error Error

Surrogate Information Error Respondent Selection Error Inability Error
Measurement Error Questioning Error Unwillingness Error
Population Definition Error Recording Error
Sampling Frame Error Cheating Error
Data Analysis Error

Errors in Marketing Research
• 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. Non-sampling errors consist of
non-response errors and response errors.

Errors in Marketing Research
• 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.

Budgeting and scheduling the
project
• Management tools needed to help ensure that the marketing research
project is completed within the available resources-financial, time and
manpower etc.
• Once a research design, appropriately controlling the total error, has
been specified, the budgeting and scheduling decision should be made
• CPM- critical path method.
• Management technique of dividing a research project into component
activities, determining the sequence of these components and the time each
activity will require.
• PERT- Program evaluation and review techniques.
• A more sophisticated critical path method that accounts for the uncertainty in
project completion times.
• GERT- graphical evaluation and review techniques.
• A sophisticated critical path method that accounts for both the completion
probabilities and the activity costs.

Marketing Research Proposal
• The official layout of the planned marketing research
activity for management.
• It describes the research problem, the approach, the
research design, data collection methods, data
analysis methods, and reporting methods.
• Once the research design has been formulated and
budgeting and scheduling of the project accomplished,
a written research proposal should be prepared.
• The marketing research proposal contains the
essence of the project and serves as a contract
between the researcher and the management.

Marketing Research Proposal
contains:
• Executive Summary
• Background
• Problem Definition/Objectives of the Research
• Approach to the Problem
• Research Design
• Kind of information to be obtained
• Methods of administrating the questionnaire.
• Scaling techniques.
• Nature of the questionnaire.
• Sampling plan and sample size.
• Fieldwork/Data Collection
• Data Analysis
• Reporting
• Cost and Time
• Appendices

Chapter Four
Exploratory Research Design: 
Secondary Data

Primary vs. Secondary Data

• Primary data are originated by a researcher for
the specific purpose of addressing the problem
at hand. The collection of primary data involves
all six steps of the marketing research process.
• Secondary data are data which have already
been collected for purposes other than the
problem at hand. These data can be located
quickly and inexpensively.
s
Censu
Data

A Comparison of Primary & Secondary Data
Table 4.1

Primary Data Secondary Data

Collection purpose For the problem at hand For other problems
Collection process Very involved Rapid & easy
Collection cost High Relatively low
Collection time Long Short

Uses of Secondary Data

• Identify the problem
• Better define the problem
• Develop an approach to the problem
• Formulate an appropriate research design
(for example, by identifying the key
variables)
• Answer certain research questions and
test some hypotheses
• Interpret primary data more insightfully

Criteria for Evaluating Secondary Data

• Specifications: Methodology Used to Collect
the Data
• Error: Accuracy of the Data
• Currency: When the Data Were Collected
• Objective(s): The Purpose for Which the Data
Were Collected
• Nature: The Content of the Data
• Dependability: Overall, How Dependable Are
the Data

Criteria for Evaluating Secondary Data
Table 4.2

Criteria Issues Remarks

Specifications & Data collection method, response rate, Data should be reliable,
Methodology quality & analysis of data, sampling valid, & generalizable to the

technique & size, questionnaire problem.

design, fieldwork.
Error & Accuracy Examine errors in approach, Assess accuracy by

research design, sampling, data comparing data from
  collection & analysis, & reporting. different sources.
Currency    

Time lag between collection & Census data are updated by
Objective publication, frequency of updates. syndicated firms.

Why were the data collected? The objective determines
Nature
the relevance of data.

Definition of key variables, units of Reconfigure the data to

measurement, categories used, increase their usefulness.
Dependability relationships examined.
Expertise, credibility, reputation, & Data should be obtained
trustworthiness of the source. from an original source.

A Classification of Secondary Data
Fig. 4.1

Secondary Data

Internal External

Ready to Requires Published Computerized Syndicated
Use Further Materials Databases Services
Processing

Internal Secondary Data

Department Store Project
Sales were analyzed to obtain:
• Sales by product line
• Sales by major department (e.g., men's wear, house
wares)
• Sales by specific stores
• Sales by geographical region
• Sales by cash versus credit purchases
• Sales in specific time periods
• Sales by size of purchase
• Sales trends in many of these classifications were also
examined.

Type of Individual/Household Level Data 
Available from Syndicated Firms
I. Demographic Data
- Identification (name, address, telephone)
- Sex
- Marital status
- Names of family members
- Age (including ages of family members)
- Income
- Occupation
- Number of children present
- Home ownership
- Length of residence
- Number and make of cars owned

Type of Individual/Household Level Data
Available from Syndicated Firms

II. Psychographic Lifestyle Data
- Interest in golf
- Interest in snow skiing
- Interest in book reading
- Interest in running
- Interest in bicycling
- Interest in pets
- Interest in fishing
- Interest in electronics
- Interest in cable television
There are also firms such as Dun & Bradstreet and American Business
Information which collect demographic data on businesses.

A Classification of Published Secondary
Sources
Fig. 4.2

Published Secondary
Data

General Business Government
Sources Sources

Guides Directories Indexes Statistical Census Other
Data Data Government
Publications

A Classification of Computerized Databases
Fig. 4.3

Computerized
Databases

Online Internet Off-Line

Bibliographic Numeric Full-Text Directory Special-
Databases Databases Databases Databases Purpose
Databases

Published External Secondary Sources

Guides
• An excellent source of standard or recurring information
• Helpful in identifying other important sources of directories, trade
associations, and trade publications
• One of the first sources a researcher should consult

Directories
• Helpful for identifying individuals or organizations that collect specific
data
• Examples: Consultants and Consulting Organizations Directory,
Encyclopedia of Associations, FINDEX: The Directory of Market
Research Reports, Studies and Surveys, and Research Services
Directory

Indices
• Helpful in locating information on a particular topic in several different
publications

Classification of Computerized
Databases

• Bibliographic databases are composed of
citations to articles.
• Numeric databases contain numerical and
statistical information.
• Full-text databases contain the complete text of
the source documents comprising the database.
• Directory databases provide information on
individuals, organizations, and services.
• Special-purpose databases provide
specialized information.

Syndicated Services

• Companies that collect and sell common pools
of data of known commercial value designed to
serve a number of clients.
• Syndicated sources can be classified based on
the unit of measurement (households/consumers
or institutions).
• Household/consumer data may be obtained from
surveys, diary panels, or electronic scanner
services.
• Institutional data may be obtained from retailers,
wholesalers, or industrial firms.

A Classification of Syndicated
Services
Fig. 4.4

Unit of
Measurement

Households/
Institutions
Consumers

Syndicated Services: Consumers
Fig. 4.4 cont.
Households /
Consumers

Panels

Electronic scanner
services
Purchase Media

Surveys Volume Scanner Diary Scanner Diary
Tracking Data Panels Panels with
Cable TV

Psychographic Advertising
& Lifestyles General Evaluation

Syndicated Services: Institutions
Fig. 4.4 cont.
Institutions

Retailers Wholesalers Industrial firms

Audits

Direct Clipping Corporate
Inquiries Services Reports

Overview of Syndicated Services
Table 4.3

Type Characteristics Advantages Disadvantages Uses

Surveys Surveys conducted at Most flexible way of Interviewer errors; Market
regular intervals obtaining data; respondent errors segmentation,
information on advertising theme
underlying motives selection and
advertising
effectiveness
Purchase Households provide Recorded purchase Lack of Forecasting sales,
Panels specific information behavior can be representativeness; market share and
regularly over an linked to the response bias; trends; establishing
extended period of demographic/ maturation consumer profiles,
time; respondent psychographic brand loyalty and
asked to record characteristics switching; evaluating
specific behaviors as test markets,
they occur advertising, and
distribution
Media Panels Electronic devices Same as purchase Same as purchase Establishing
automatically panel panel advertising rates;
recording behavior, selecting media
supplemented by a program or air time;
diary establishing viewer
profiles

Table 4.3 cont.

Type Characteristics Advantages Disadvantages
Scanner Volume Household purchases Data reflect actual Data may not be
Tracking Data are recorded through purchases; timely data, representative; errors in
electronic scanners in less expensive recording purchases;
supermarkets difficult to link
purchases to elements
of marketing mix other
than price
Scanner Diary Panels Scanner panels of Data reflect actual Data may not be
with Cable TV households that purchases; sample representative; quality
subscribe to cable TV control; ability to link of data limited
panel data to household
characteristics

Table 4.3 cont.

Audit services Verification of product Relatively precise Coverage may be Measurement of
movement by information at the incomplete; matching consumer sales and
examining physical retail and wholesale of data on competitive market share,
records or performing levels activity may be competitive activity,
inventory analysis difficult analyzing distribution
patterns; tracking of
new products
industrial products Data banks on Important source of Data are lacking in Determining market
syndicated services industrial information on terms of content, potential by geographic
establishments created industrial firms, quantity, and quality area, defining sales
through direct inquiries particularly useful in territories, allocating
of companies, clipping initial phases of the advertising budget
services, and corporate projects
reports

Single-Source Data

Single-source data provide integrated information on
household variables, including media consumption and
purchases, and marketing variables, such as product
sales, price, advertising, promotion, and in-store
marketing effort. 

• Recruit a test panel of households and meter each
home's TV sets.
• Survey households periodically on what they read.
• Grocery purchases are tracked by UPC scanners.
• Track retail data, such as sales, advertising, and
promotion.

A Classification of International Sources
Fig. 4.5

International Secondary Data

Domestic Organizations International Organizations in
in the United States Organizations in the Foreign Countries
United States

Government Nongovernment International Trade
Sources Sources Governments Organizations Associations

Chapter Five
Exploratory Research Design:
Qualitative Research

A Classification of Marketing Research Data
Fig. 5.1

Marketing Research Data

Secondary Data Primary Data

Qualitative Data Quantitative Data

Descriptive Causal

Survey Observational Experimental
Data and Other Data Data

Qualitative vs. Quantitative
Research
Table 5.1

Qualitative Research Quantitative Research

To gain a qualitative To quantify the data and
Objective
understanding of the generalize the results from the

underlying reasons and sample to the population of

motivations interest

Small number of non- Large number of representative
Sample
representative cases cases

Unstructured Structured
Data Collection

Non-statistical Statistical
Data Analysis

Develop an initial Recommend a final course of
Outcome
understanding action

A Classification of Qualitative Research
Procedures
Fig. 5.2
Qualitative Research
Procedures

Direct (Non Indirect
disguised) (Disguised)

Projective
Techniques
Focus Groups Depth Interviews

Association Completion Construction Expressive
Techniques Techniques Techniques Techniques

Characteristics of Focus Groups
Table 5.2

Group Size 8-12

Group Composition Homogeneous, respondents, 
prescreened

Physical Setting Relaxed, informal atmosphere

Time Duration 1-3 hours

Recording Use of audiocassettes and videotapes

Moderator Observational, interpersonal, and
communication skills of the moderator

Key Qualifications of Focus Group Moderators

1. Kindness with firmness: The moderator must combine a disciplined 
detachment with understanding empathy so as to generate the 
necessary interaction.

2. Permissiveness: The moderator must be permissive yet alert to signs 
that the group’s cordiality or purpose is disintegrating.

3. Involvement: The moderator must encourage and stimulate intense 
personal involvement.

4. Incomplete understanding: The moderator must encourage 
respondents to be more specific about generalized comments by 
exhibiting incomplete understanding.

Key Qualifications of Focus Group Moderators

5. Encouragement: The moderator must encourage unresponsive  
members to participate.

6. Flexibility: The moderator must be able to improvise and alter the 
planned outline amid the distractions of the group process.

7. Sensitivity: The moderator must be sensitive enough to guide the  
group discussion at an intellectual as well as emotional level.

Procedure for Planning and Conducting Focus Groups
Fig. 5.3

Determine the Objectives and Define the Problem

Specify the Objectives of Qualitative Research

State the Objectives/Questions to be Answered by Focus Groups

Write a Screening Questionnaire

Develop a Moderator’s Outline

Conduct the Focus Group Interviews

Review Tapes and Analyze the Data

Summarize the Findings and Plan Follow-Up Research or Action

Variations in Focus Groups
• Two-way focus group. This allows one target group
to listen to and learn from a related group. For
example, a focus group of physicians viewed a focus
group of arthritis patients discussing the treatment
they desired.

• Dual-moderator group. A focus group conducted by
two moderators: One moderator is responsible for
the smooth flow of the session, and the other ensures
that specific issues are discussed.

• Dueling-moderator group. There are two moderators,
but they deliberately take opposite positions on the
issues to be discussed.

Variations in Focus Groups
• Respondent-moderator group. The moderator asks selected
participants to play the role of moderator temporarily to improve
group dynamics.

• Client-participant groups. Client personnel are identified and
made part of the discussion group.

• Mini groups. These groups consist of a moderator and only 4 or
5 respondents.

• Tele-session groups. Focus group sessions by phone using the
conference call technique.

• Online Focus groups. Focus groups conducted online over the
Internet.

Advantages of Focus Groups

1. Synergism
2. Snowballing
3. Stimulation
4. Security
5. Spontaneity
6. Serendipity
7. Specialization
8. Scientific scrutiny
9. Structure
10. Speed

Disadvantages of Focus Groups

1. Misuse
2. Misjudge
3. Moderation
4. Messy
5. Misrepresentation

Depth Interview Techniques: Laddering

In laddering, the line of questioning proceeds from product characteristics
to user characteristics. This technique allows the researcher to tap into the
consumer's network of meanings.

Wide body aircrafts

(product characteristic)

I can get more work done

I accomplish more

I feel good about myself

(user characteristic)

Advertising theme: You will feel good about yourself when flying
our airline. “You're The Boss.”

Depth Interview Techniques:  
Hidden Issue Questioning

In hidden issue questioning, the focus is not on socially
shared values but rather on personal “sore spots;” not on
general lifestyles but on deeply felt personal concerns.

 
fantasies, work lives, and social lives

historic, elite, “masculine-camaraderie,” competitive activities
 
Advertising theme: communicate aggressiveness, high
status, and competitive heritage of the airline.

Depth Interview Techniques:  
Symbolic Analysis

Symbolic analysis attempts to analyze the symbolic meaning of
objects by comparing them with their opposites. The logical opposites
of a product that are investigated are: non-usage of the product,
attributes of an imaginary “non-product,” and opposite types of
products.

“What would it be like if you could no longer use airplanes?”

“Without planes, I would have to rely on letters and long distance calls.”

Airlines sell to the managers face-to-face communication.

Advertising theme: The airline will do the same thing for a manager as
Federal Express does for a package.

Definition of Projective Techniques

• An unstructured, indirect form of questioning that
encourages respondents to project their
underlying motivations, beliefs, attitudes or
feelings regarding the issues of concern.
• In projective techniques, respondents are asked
to interpret the behavior of others.
• In interpreting the behavior of others,
respondents indirectly project their own
motivations, beliefs, attitudes, or feelings into the
situation.

Word Association

In word association, respondents are presented with a list of words,
one at a time and asked to respond to each with the first word that
comes to mind. The words of interest, called test words, are
interspersed throughout the list which also contains some neutral, or
filler words to disguise the purpose of the study. Responses are
analyzed by calculating:

(1) the frequency with which any word is given as a response;

(2) the amount of time that elapses before a response is given; and

(3) the number of respondents who do not respond at all to a test
word within a reasonable period of time.

Word Association
EXAMPLE

STIMULUS
MRS. M

MRS. C  
washday
everyday

ironing  
fresh

and sweet

clean  
pure

air

soiled  
scrub
don't; husband does

clean  
filth

this neighborhood

dirt  
bubbles
bath

soap and water  
family

squabbles

children  
towels

dirty

ash 
w

Completion Techniques

In Sentence completion, respondents are given incomplete
sentences and asked to complete them. Generally, they are asked
to use the first word or phrase that comes to mind.

A person who shops at Sears is ______________________

A person who receives a gift certificate good for Sak's Fifth Avenue
would be __________________________________

J. C. Penney is most liked by _________________________

When I think of shopping in a department store, I ________

A variation of sentence completion is paragraph completion, in
which the respondent completes a paragraph beginning with the
stimulus phrase.

Completion Techniques

In story completion, respondents are given part of a
story – enough to direct attention to a particular topic but
not to hint at the ending. They are required to give the
conclusion in their own words.

Construction Techniques

With a picture response, the respondents are asked to
describe a series of pictures of ordinary as well as
unusual events. The respondent's interpretation of the
pictures gives indications of that individual's personality.

In cartoon tests, cartoon characters are shown in a
specific situation related to the problem. The
respondents are asked to indicate what one cartoon
character might say in response to the comments of
another character. Cartoon tests are simpler to
administer and analyze than picture response techniques.

A Cartoon Test
Figure 5.4

Sears

Let’s see if we can
pick up some
house wares at
Sears

Expressive Techniques

In expressive techniques, respondents are presented
with a verbal or visual situation and asked to relate the
feelings and attitudes of other people to the situation.

Role playing Respondents are asked to play the role or
assume the behavior of someone else.

Third-person technique The respondent is presented
with a verbal or visual situation and the respondent is
asked to relate the beliefs and attitudes of a third person
rather than directly expressing personal beliefs and
attitudes. This third person may be a friend, neighbor,
colleague, or a “typical” person.

Advantages of Projective
Techniques
• They may elicit responses that subjects would
be unwilling or unable to give if they knew the
purpose of the study.

• Helpful when the issues to be addressed are
personal, sensitive, or subject to strong social
norms.

• Helpful when underlying motivations, beliefs, and
attitudes are operating at a subconscious level.

Disadvantages of Projective Techniques

• Suffer from many of the disadvantages of
unstructured direct techniques, but to a greater
extent.
• Require highly trained interviewers.
• Skilled interpreters are also required to analyze
the responses.
• There is a serious risk of interpretation bias.
• They tend to be expensive.
• May require respondents to engage in unusual
behavior.

Guidelines for Using Projective Techniques

• Projective techniques should be used
because the required information cannot
be accurately obtained by direct methods.
• Projective techniques should be used for
exploratory research to gain initial insights
and understanding.
• Given their complexity, projective
techniques should not be used naively.

Comparison of Focus Groups, Depth Interviews,  
and Projective Techniques
Table 5.3

Criteria Focus Depth Interviews Projective
Groups Techniques
1. Degree of Structure Relatively high Relatively medium Relatively low
2. Probing of individual Low High Medium
respondents

3. Moderator bias Relatively medium Relatively high Low to high
4. Interpretation bias Relatively low Relatively medium Relatively high
5. Uncovering Low Medium to high High
subconscious information

6. Discovering innovative      
information High Medium Low
7. Obtaining sensitive

information Low Medium High
8. Involve unusual behavior

or questioning No To a limited extent Yes
9. Overall usefulness
Useful
Highly useful Somewhat useful

Advantages of Online Focus
Groups
• Geographical constraints are removed and time
constraints are lessened.

• Unique opportunity to re-contact group participants at a
later date.

• Can recruit people not interested in traditional focus
groups: doctors, lawyers, etc.

• Moderators can carry on side conversations with
individual respondents.

• There is no travel, video taping, or facilities to arrange;
so the cost is much lower.

Disadvantages of Online Focus Groups

• Only people that have access to the Internet can
participate.

• Verifying that a respondent is a member of a target
group is difficult.

• There is lack of general control over the respondent's
environment.

• Only audio and visual stimuli can be tested. Products
can not be touched (e.g., clothing) or smelled (e.g.,
perfumes).

Chapter Six
Descriptive Research Design:
Survey and Observation

A Classification of Survey Methods
Fig. 6.1
Survey
Methods

Telephone Personal Mail Electronic

In-Home Mall Computer-Assisted Internet
E-mail
Intercept Personal
Interviewing

Traditional Computer-Assisted
Mail Mail
Telephone Telephone
Interview Panel
Interviewing

Some Decisions Related to the Mail Interview Package
Table 6.1

Outgoing Envelope
Outgoing envelope: size, color, return address
Postage Method of addressing
Cover Letter
Sponsorship Type of appeal Postscript
Personalization Signature
Questionnaire
Length Size Layout Format
Content Reproduction Color Respondent anonymity
Return Envelope
Type of envelope Postage
Incentives
Monetary versus non-monetary Prepaid versus promised amount

Criteria for Evaluating Survey Methods

Flexibility of Data Collection
• The flexibility of data collection is determined primarily by the extent
to which the respondent can interact with the interviewer and the
survey questionnaire.

Diversity of Questions
• The diversity of questions that can be asked in a survey depends
upon the degree of interaction the respondent has with the
interviewer and the questionnaire, as well as the ability to actually
see the questions.

Use of Physical Stimuli
• The ability to use physical stimuli such as the product, a product
prototype, commercials, or promotional displays during the interview.


Sample Control
• Sample control is the ability of the survey mode to reach the units
specified in the sample effectively and efficiently.

Control of the Data Collection Environment
• The degree of control a researcher has over the environment in
which the respondent answers the questionnaire.

Control of Field Force
• The ability to control the interviewers and supervisors involved in
data collection.

Quantity of Data
• The ability to collect large amounts of data.


Response Rate
• Survey response rate is broadly defined as the percentage of the
total attempted interviews that are completed.

Perceived Anonymity
• Perceived anonymity refers to the respondents' perceptions that
their identities will not be discerned by the interviewer or the
researcher.

Social Desirability/Sensitive Information
• Social desirability is the tendency of the respondents to give
answers that are socially acceptable, whether or not they are true.


Potential for Interviewer Bias
• The extent of the interviewer's role determines the
potential for bias.

Speed
• The total time taken for administering the survey to the
entire sample.

Cost
• The total cost of administering the survey and collecting
the data.

A Comparative Evaluation of Survey Methods
Table 6.2
Mall-
Criteria Phone/ In-Home Intercept Mail Mail
CATI Interviews Interviews CAPI Surveys Panels E-Mail Internet

Flexibility of data Moderate High High Moderate Low Low Low Moderate
collection to high to high to high
Diversity of questions Low High High High Moderate Moderate Moderate Moderate
to high
Use of physical stimuli Low Moderate High High Moderate Moderate Low Moderate
to high
Sample control Moderate Potentially Moderate Moderate Low Moderate Low Low to
to high high to high moderate
Control of data collection Moderate Moderate High High Low Low Low Low
environment to high
Control of field force Moderate Low Moderate Moderate High High High High
Quantity of data Low High Moderate Moderate Moderate High Moderate Moderate
Response rate Moderate High High High Low Moderate Low Very
Low
Perceived anonymity of Moderate Low Low Low High High Moderate High
the respondent
Social desirability Moderate High High Moderate Low Low Moderate Low
to High
Obtaining sensitive High Low Low Low to High Moderate Moderate High
information moderate to High
Potential for interviewer Moderate High High Low None None None None
bias
Speed High Moderate Moderate Moderate Low Low to High Very
to high to high moderate high
Cost Moderate High Moderate Moderate Low Low to Low Low
to high to high moderate

Observation Methods 
Structured versus Unstructured Observation

• For structured observation, the researcher
specifies in detail what is to be observed and
how the measurements are to be recorded, e.g.,
an auditor performing inventory analysis in a
store.

• In unstructured observation, the observer
monitors all aspects of the phenomenon that
seem relevant to the problem at hand, e.g.,
observing children playing with new toys.

Disguised versus Undisguised Observation

• In disguised observation, the respondents are
unaware that they are being observed. Disguise
may be accomplished by using one-way mirrors,
hidden cameras, or inconspicuous mechanical
devices. Observers may be disguised as
shoppers or sales clerks.

• In undisguised observation, the respondents
are aware that they are under observation.

Natural versus Contrived Observation

• Natural observation involves observing
behavior as it takes places in the environment.
For example, one could observe the behavior of
respondents eating fast food in Burger King.

• In contrived observation, respondents'
behavior is observed in an artificial environment,
such as a test kitchen.

A Classification of Observation Methods
Fig. 6.3

Classifying
Observation
Methods

Observation Methods

Personal Mechanical Audit Content Trace
Observation Observation Analysis Analysis

Personal Observation

• A researcher observes actual behavior as
it occurs.
• The observer does not attempt to
manipulate the phenomenon being
observed but merely records what takes
place.
• For example, a researcher might record
traffic counts and observe traffic flows in a
department store.

Mechanical Observation

Do not require respondents' direct participation.
• the AC Nielsen audimeter
• turnstiles that record the number of people entering or leaving a
building.
• On-site cameras (still, motion picture, or video)
• Optical scanners in supermarkets

Do require respondent involvement.
• eye-tracking monitors
• pupilometers
• psychogalvanometers
• voice pitch analyzers
• devices measuring response latency

Audit

• The researcher collects data by examining
physical records or performing inventory
analysis.
• Data are collected personally by the researcher.
• The data are based upon counts, usually of
physical objects.

Content Analysis

• The objective, systematic, and quantitative
description of the manifest content of a
communication.
• The unit of analysis may be words, characters
(individuals or objects), themes (propositions),
space and time measures (length or duration of
the message), or topics (subject of the message).
• Analytical categories for classifying the units are
developed and the communication is broken
down according to prescribed rules.

Trace Analysis

Data collection is based on physical traces, or evidence, of past
behavior.

• The selective erosion of tiles in a museum indexed by the
replacement rate was used to determine the relative popularity of
exhibits.
• The number of different fingerprints on a page was used to gauge the
readership of various advertisements in a magazine.
• The position of the radio dials in cars brought in for service was used
to estimate share of listening audience of various radio stations.
• The age and condition of cars in a parking lot were used to assess
the affluence of customers.
• The magazines people donated to charity were used to determine
people's favorite magazines.
• Internet visitors leave traces which can be analyzed to examine
browsing and usage behavior by using cookies.

A Comparative Evaluation of Observation Methods
Table 6.3

Criteria Personal Mechanical Audit Content Trace
Observation Observation Analysis Analysis Analysis

Degree of structure Low Low to high High High Medium
Degree of disguise Medium Low to high Low High High
Ability to observe High Low to high High Medium Low
in natural setting
Observation bias High Low Low Medium Medium
Analysis Bias High Low to Low Low Medium
Medium
General remarks Most Can be Expensive Limited to Method of
flexible intrusive commu- last resort
nications

Relative Advantages of
Observation
• They permit measurement of actual behavior
rather than reports of intended or preferred
behavior.
• There is no reporting bias, and potential bias
caused by the interviewer and the interviewing
process is eliminated or reduced.
• Certain types of data can be collected only by
observation.
• If the observed phenomenon occurs frequently or
is of short duration, observational methods may
be cheaper and faster than survey methods.

Relative Disadvantages of Observation

• The reasons for the observed behavior may not be
determined since little is known about the underlying
motives, beliefs, attitudes, and preferences.
• Selective perception (bias in the researcher's perception)
can bias the data.
• Observational data are often time-consuming and
expensive, and it is difficult to observe certain forms of
behavior.
• In some cases, the use of observational methods may be
unethical, as in observing people without their knowledge or
consent.

It is best to view observation as a complement to survey
methods, rather than as being in competition with them.

A Comparative Evaluation of Survey Methods
for International Marketing Research
Table 6.4
Criteria Telephone Personal Mail Electronic
High sample control + + - -
Difficulty in locating + - + +
respondents at home
Inaccessibility of homes + - + +
Unavailability of a large + - + +
pool of trained interviewers
Large population in rural areas - + - -
Unavailability of maps + - + +
Unavailability of current - + - +
telephone directory
Unavailability of mailing lists + + - +
Low penetration of telephones - + + -
Lack of an efficient postal system + + - +
Low level of literacy - + - -
Face-to-face communication culture - + - -
Poor access to computers & Internet ? + ? -
Note: A (+) denotes an advantage, and a (–) denotes a disadvantage.

Chapter Seven
Causal Research Design: 
Experimentation

Concept of Causality
A statement such as "X causes Y " will have the following
meaning to an ordinary person and to a scientist.

____________________________________________________

Ordinary Meaning

Scientific Meaning
____________________________________________________
X is the only cause of Y.

X is only one of a number of

possible causes of Y.

X must always lead to Y

The occurrence of X makes the
(X is a deterministic

occurrence of Y more probable
cause of Y).

(X is a probabilistic cause of Y).

It is possible to prove

We can never prove that X is a
that X is a cause of Y.

cause of Y. At best, we can

infer that X is a cause of Y.
____________________________________________________

Conditions for Causality

• Concomitant variation is the extent to which a
cause, X, and an effect, Y, occur together or vary
together in the way predicted by the hypothesis
under consideration.
• The time order of occurrence condition states
that the causing event must occur either before or
simultaneously with the effect; it cannot occur
afterwards.
• The absence of other possible causal factors
means that the factor or variable being investigated
should be the only possible causal explanation.

Evidence of Concomitant Variation between 
Purchase of Fashion Clothing and Education
Table 7.1

Purchase of Fashion Clothing, Y

High Low
Education, X

High 363 (73%) 137 (27%) 500 (100%)

Low 322 (64%) 178 (36%) 500 (100%)

Purchase of Fashion Clothing By 
Income and Education

Low Income High Income
Purchase Purchase

High Low High Low

High 122 (61%) 78 (39%) 200 (100%) High 241 (80%) 59 (20%) 300

Education
Education

171 (57%) 129 (43%) 300 (100%) Low 151 (76%) 49 (24%) 200
Low

Definitions and Concepts
• Independent variables are variables or alternatives that
are manipulated and whose effects are measured and
compared, e.g., price levels.
• Test units are individuals, organizations, or other entities
whose response to the independent variables or
treatments is being examined, e.g., consumers or stores.
• Dependent variables are the variables which measure
the effect of the independent variables on the test units,
e.g., sales, profits, and market shares.
• Extraneous variables are all variables other than the
independent variables that affect the response of the test
units, e.g., store size, store location, and competitive
effort.

Experimental Design

An experimental design is a set of
procedures specifying

• the test units and how these units are to be
divided into homogeneous subsamples,
• what independent variables or treatments are to
be manipulated,
• what dependent variables are to be measured,
and
• how the extraneous variables are to be controlled.

Validity in Experimentation

• Internal validity refers to whether the manipulation
of the independent variables or treatments actually
caused the observed effects on the dependent
variables. Control of extraneous variables is a
necessary condition for establishing internal validity.
• External validity refers to whether the cause-and-
effect relationships found in the experiment can be
generalized. To what populations, settings, times,
independent variables and dependent variables can
the results be projected?

Extraneous Variables
• History refers to specific events that are external to the
experiment but occur at the same time as the
experiment.
• Maturation (MA) refers to changes in the test units
themselves that occur with the passage of time.
• Testing effects are caused by the process of
experimentation. Typically, these are the effects on the
experiment of taking a measure on the dependent
variable before and after the presentation of the
treatment.
• The main testing effect (MT) occurs when a prior
observation affects a latter observation.

Extraneous Variables
• In the interactive testing effect (IT), a prior
measurement affects the test unit's response to the
independent variable.
• Instrumentation (I) refers to changes in the measuring
instrument, in the observers or in the scores themselves.
• Statistical regression effects (SR) occur when test units
with extreme scores move closer to the average score
during the course of the experiment.
• Selection bias (SB) refers to the improper assignment of
test units to treatment conditions.
• Mortality (MO) refers to the loss of test units while the
experiment is in progress.

Controlling Extraneous Variables

• Randomization refers to the random assignment of test units
to experimental groups by using random numbers.
Treatment conditions are also randomly assigned to
experimental groups.
• Matching involves comparing test units on a set of key
background variables before assigning them to the treatment
conditions.
• Statistical control involves measuring the extraneous
variables and adjusting for their effects through statistical
analysis.
• Design control involves the use of experiments designed to
control specific extraneous variables.

Limitations of Experimentation

• Experiments can be time consuming, particularly if
the researcher is interested in measuring the long-
term effects.
• Experiments are often expensive. The requirements
of experimental group, control group, and multiple
measurements significantly add to the cost of
research.
• Experiments can be difficult to administer. It may be
impossible to control for the effects of the extraneous
variables, particularly in a field environment.
• Competitors may deliberately contaminate the results
of a field experiment.

ChapterScaling: Fundamentals and Comparative
Measurement and
Eight
Scaling

Measurement and Scaling

Measurement means assigning numbers or other
symbols to characteristics of objects according to certain
prespecified rules.
• One-to-one correspondence between the numbers and
the characteristics being measured.
• The rules for assigning numbers should be
standardized and applied uniformly.
• Rules must not change over objects or time.

Measurement and Scaling

Scaling involves creating a continuum upon which
measured objects are located.

Consider an attitude scale from 1 to 100. Each
respondent is assigned a number from 1 to 100, with 1 =
Extremely Unfavorable, and 100 = Extremely Favorable.
Measurement is the actual assignment of a number from
1 to 100 to each respondent. Scaling is the process of
placing the respondents on a continuum with respect to
their attitude toward department stores.

Primary Scales of Measurement
Figure 8.1
Scale
Nominal Numbers Finish
Assigned
7 8 3
to Runners

Ordinal Rank Order Finish
of Winners

Third Second First

place place place
Interval Performance
Rating on a 8.2 9.1 9.6
0 to 10 Scale

Ratio Time to
Finish, in 15.2 14.1 13.4
Seconds

Primary Scales of Measurement 
Nominal Scale

• The numbers serve only as labels or tags for identifying
and classifying objects.
• When used for identification, there is a strict one-to-one
correspondence between the numbers and the objects.
• The numbers do not reflect the amount of the
characteristic possessed by the objects.
• The only permissible operation on the numbers in a
nominal scale is counting.
• Only a limited number of statistics, all of which are based
on frequency counts, are permissible, e.g., percentages,
and mode.

Illustration of Primary Scales of Measurement
Table 8.2

Nominal Ordinal Interval  Ratio
Scale Scale Scale Scale
Preference Preference $ spent last
No. Store Rankings Ratings 3 months
  1-7 11-17
1. Lord & Taylor
7 79 5 15 0
2. Macy’s
2 25 7 17 200
3. Kmart
8 82 4 14 0
4. Rich’s
5. J.C. Penney 3 30 6 16 100
6. Neiman Marcus 1 10 7 17 250
7. Target 5 53 5 15 35
8. Saks Fifth Avenue 9 95 4 14 0
9. Sears 6 61 5 15 100
10.Wal-Mart 4 45 6 16 0
10 115 2 12 10

Ordinal Scale

• A ranking scale in which numbers are assigned to
objects to indicate the relative extent to which the objects
possess some characteristic.
• Can determine whether an object has more or less of a
characteristic than some other object, but not how much
more or less.
• Any series of numbers can be assigned that preserves
the ordered relationships between the objects.
• In addition to the counting operation allowable for
nominal scale data, ordinal scales permit the use of
statistics based on centiles, e.g., percentile, quartile,
median.

Interval Scale

• Numerically equal distances on the scale represent
equal values in the characteristic being measured.
• It permits comparison of the differences between objects.
• The location of the zero point is not fixed. Both the zero
point and the units of measurement are arbitrary.
• Any positive linear transformation of the form y = a + bx
will preserve the properties of the scale.
• It is meaningful to take ratios of scale values.
• Statistical techniques that may be used include all of
those that can be applied to nominal and ordinal data,
and in addition the arithmetic mean, standard deviation,
and other statistics commonly used in marketing
research.

Ratio Scale

• Possesses all the properties of the nominal, ordinal, and
interval scales.
• It has an absolute zero point.
• It is meaningful to compute ratios of scale values.
• Only proportionate transformations of the form y = bx,
where b is a positive constant, are allowed.
• All statistical techniques can be applied to ratio data.

Primary Scales of Measurement
Table 8.1

Scale Basic Common Marketing Permissible Statistics
Characteristics Examples Examples Descriptive Inferential
Nominal Numbers identify Social Security Brand nos., store Percentages, Chi-square,
& classify objects nos., numbering types mode binomial test
of football players
Ordinal Nos. indicate the Quality rankings, Preference Percentile, Rank-order
relative positions rankings of teams rankings, market median correlation,
of objects but not in a tournament position, social Friedman
the magnitude of class ANOVA
differences
between them
Interval Differences Temperature Attitudes, Range, mean, Product-
between objects (Fahrenheit) opinions, index standard moment
Ratio Zero point is fixed, Length, weight Age, sales, Geometric Coefficient of
ratios of scale income, costs mean, harmonic variation
values can be mean
compared

A Classification of Scaling
Techniques
Scaling Techniques

Comparative Noncomparative
Scales Scales

Paired Rank Constant Q-Sort and Continuous Itemized
Comparison Order Sum Other Rating Scales Rating Scales
Procedures

Semantic Stapel
Likert
Differential

A Comparison of Scaling
Techniques
• Comparative scales involve the direct comparison of
stimulus objects. Comparative scale data must be
interpreted in relative terms and have only ordinal or rank
order properties.

• In noncomparative scales, each object is scaled
independently of the others in the stimulus set. The
resulting data are generally assumed to be interval or
ratio scaled.

Relative Advantages of Comparative Scales

• Small differences between stimulus objects can be
detected.
• Same known reference points for all respondents.
• Easily understood and can be applied.
• Involve fewer theoretical assumptions.
• Tend to reduce halo or carryover effects from one
judgment to another.

Relative Disadvantages of Comparative
Scales

• Ordinal nature of the data
• Inability to generalize beyond the stimulus objects
scaled.

Comparative Scaling Techniques 
Paired Comparison Scaling

• A respondent is presented with two objects and asked to
select one according to some criterion.
• The data obtained are ordinal in nature.
• Paired comparison scaling is the most widely used
comparative scaling technique.
• With n brands, [n(n - 1) /2] paired comparisons are
required
• Under the assumption of transitivity, it is possible to
convert paired comparison data to a rank order.

Obtaining Shampoo Preferences  
Using Paired Comparisons
Figure 8.3
Instructions: We are going to present you with ten pairs of
shampoo brands. For each pair, please indicate which one of the
two brands of shampoo you would prefer for personal use.
Recording Form: Jhirmack Finesse Vidal Head & Pert
Sassoon Shoulders
Jhirmack 0 0 1 0
Finesse 1a 0 1 0
Vidal Sassoon 1 1 1 1
Head & Shoulders 0 0 0 0
Pert 1 1 0 1
Number of Times 3 2 0 4 1
Preferredb
aA 1 in a particular box means that the brand in that column was preferred over
the brand in the corresponding row. A 0 means that the row brand was
preferred over the column brand. bThe number of times a brand was preferred
is obtained by summing the 1s in each column.

Paired Comparison Selling
The most common method of taste testing is paired comparison. The
consumer is asked to sample two different products and select the one
with the most appealing taste. The test is done in private and a minimum
of 1,000 responses is considered an adequate sample. A blind taste test
for a soft drink, where imagery, self-perception and brand reputation are
very important factors in the consumer’s purchasing decision, may not
be a good indicator of performance in the marketplace. The introduction
of New Coke illustrates this point. New Coke was heavily favored in
blind paired comparison taste tests, but its introduction was less than
successful, because image plays a major role in the purchase of Coke.

A paired comparison taste
test

Comparative Scaling Techniques 
Rank Order Scaling

• Respondents are presented with several objects
simultaneously and asked to order or rank them
according to some criterion.
• It is possible that the respondent may dislike the brand
ranked 1 in an absolute sense.
• Furthermore, rank order scaling also results in ordinal
data.
• Only (n - 1) scaling decisions need be made in rank
order scaling.

Preference for Toothpaste Brands  
Using Rank Order Scaling
Figure 8.4

Instructions: Rank the various brands of toothpaste in order of
preference. Begin by picking out the one brand that you like
most and assign it a number 1. Then find the second most
preferred brand and assign it a number 2. Continue this
procedure until you have ranked all the brands of toothpaste in
order of preference. The least preferred brand should be
assigned a rank of 10.
No two brands should receive the same rank number.
The criterion of preference is entirely up to you. There is no
right or wrong answer. Just try to be consistent.

Preference for Toothpaste Brands  
Using Rankcont.
Figure 8.4
Order Scaling
Form
Brand Rank Order
1. Crest _________
2. Colgate _________
3. Aim _________
4. Gleem _________
5. Macleans _________

6. Ultra Brite _________
7. Close Up _________
8. Pepsodent _________
9. Plus White _________
10. Stripe _________

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