03_Desain_Riset.ppt 838KB Mar 29 2010 04:55:12 AM

Pertemuan 5

Oleh :

Rahmad 2006

1

A Classification of Marketing Research Designs

Research Design
Exploratory

Conclusive
Research Design

Research Design

Descriptive
Research
Cross-Sectional

Design
Single CrossSectional Design

Casual
Research

Longitudinal
Design

Multiple CrossSectional Design

Difference between Exploratory and Conclusive Research
Objective:

Exploratory

Conclusive

To provide insights and
understanding.


To test specific hypotheses
and examine relationships.

Character- Information needed is
istics:
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:


Conclusive.

Tentative.

Outcome: Generally followed by
further exploratory or
conclusive research.

Findings used as input into
decision making.

A Comparison of Basic Research Designs
Exploratory
Objective:

Discovery of
ideas and
insights


Characteristics: Flexible,
versatile

Methods:

Descriptive
Describe market
characteristics or
functions

Causal
Determine cause
and effect
relationships

Marked by the prior Manipulation of
formulation of
one or more
specific
independent

hypotheses
variables

Often the front
end of total
research design

Preplanned and
structured design

Control of other
mediating
variables

Expert surveys
Pilot surveys
Secondary data
Qualitative
research


Secondary data
Surveys
Panels
Observation and
other data

Experiments

Potential Sources of Error in Research Designs
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
Errors
•Respondent Selection Error
•Questioning Error
•Recording Error
•Cheating Error

Non-response
Error

Respondent
Error

•Inability Error
•Unwillingness Error

Exploratory Research Design:
Secondary Data

Rahmad 2006

6

A Comparison of Primary & Secondary Data
Primary Data
Collection purpose
Collection process
Collection cost
Collection time

For the problem at hand
Very involved
High

Long

Secondary Data
For other problems
Rapid & easy
Relatively low
Short

Criteria for Evaluating Secondary Data
Criteria

Issues

Specifications Data collection method, response
& methodology rate, quality & analysis of data,
sampling technique & size,
questionnaire design, field work.
Examine errors in approach,
Error &
research design, sampling,data

Accuracy
collection & analysis, & reporting.
Time lag between collection &
Currency
publication, frequency of updates.
Why were the data collected?
Objective
Nature
Dependability

Remarks
Data should be reliable,
valid, & generalizable to
the problem.
Assess accuracy by
comparing data from
different sources.
Census data are updated
by syndicated firms.
The objective determines

the relevance of data.
Reconfigure the data to
increase their usefulness.

Definition of key variables, units of
measurement, categories used,
relationships examined.
Expertise, credibility, reputation, & Data should be obtained
trustworthiness of the source.
from an original source.

A Classification of Secondary Data

Secondary Data

Internal

Ready
to Use

Requires
Further
processing

External

Published
Materials

Computerized Syndicated
Databases
Services

A Classification of Published Secondary Sources

Published
Secondary Data
General Business
Sources
Guides

Directories Indexes Statistical
Data

Government
Sources
Census
Other
Data Government
Publications

A Classification of Computerized Databases

Computerized
Databases

On-Line

Bibliographic
Databases

Numeric
Databases

Internet

Full-Text
Databases

Off-Line

Directory
Databases

SpecialPurpose
Databases

A Classification of Syndicated Services

Unit of
Measurement

Households/
Consumers

Institutions

Syndicated Services: Consumers
Households /
Consumers

Mail Diary
Panels
Purchase

Volume
Tracking Data

Surveys

Psychographic
& Lifestyles

Media

General

Advertising
Evaluation

Electronic
scanner services

Scanner Diary
Panels

Scanner Diary
Panels with
Cable TV

Syndicated Services: Institutions
Institutions

Retailers

Wholesalers

Industrial firms

Audits

Direct
Inquiries

Clipping
Services

Corporate
Reports

Overview of Syndicated Services
Type

Surveys

Characteristics Advantages
Surveys conducted
at regular intervals

Disadvantages

Most flexible way of Interviewer errors;
obtaining data;
respondent errors
information on
underlying motives

Diary
Households provide
Purchase specific information
Panels
regularly over an
extended period of
time; respondent
asked to record
specific behaviors as
they occur

Recorded purchase
behavior can be
linked to the
demographic /
psychographic
characteristics

Lack of
representativeness;
response bias;
maturation

Diary
Media
Panels

Same as diary
purchase panel

Same as diary
purchase panel

Electronic devices
automatically
recording behavior,
supplemented by a
diary

Uses

Market
segmentation,
advertising theme
selection and
advertising
effectiveness
Forecasting sales,
market share and
trends; establishing
consumer profiles,
brand loyalty and
switching;
evaluating test
markets, advertising,
and distribution
Establishing
advertising rates;
selecting media
program or air time;
establishing viewer
profiles

Lanjutan…

Type

Characteristics Advantages

Disadvantages

Uses

Scanner
Volume
Tracking
Data

Household
purchases are
recorded through
electronic scanners
in supermarkets

Data reflects actual
purchases; timely
data, less expensive

Price tracking,
modeling,
effectiveness of instore promotions

Scanner
Diary
Panels
with Cable
TV

Scanner panels of
households that
subscribe to cable
TV

Audit
services

Verification of
product movement
by examining
physical records or
performing
inventory analysis

Data reflect actual
purchases; sample
control; ability to
link panel data to
household
characteristics
Relatively precise
information at the
retail and wholesale
levels

Data may not be
representative;
errors in recording
purchases; difficult
to link purchases to
elements of
marketing mix other
than price
Data may not be
representative;
quality of data
limited
Coverage may be
incomplete;
matching of data on
competitive activity
may be difficult

Industrial
Product
Syndicated
Services

Data banks on
industrial
establishments
created through
direct inquiries of
companies, clipping
services, and
corporate reports

Measurement of
consumer sales and
market share,
competitive activity,
analyzing
distribution patterns:
tracking of new
products
Determining market
potential by
geographic area,
defining sales
territories, allocating
advertising budget

Important source of Data are lacking in
information on
terms of content,
industrial firms,
quantity, and quality
particularly useful in
initial phases of the
projects

Promotional mix
analyses, copy
testing, new product
testing, positioning

A Classification of International Sources

International Secondary Data

Domestic
Organizations in
the United States

Government
Sources

International
Organizations in
the United States

Nongovernment
Sources

Governments

Organizations in
Foreign Countries

International
Organizations

Trade
Associations

Descriptive Research Design :
Survey and Observation

Rahmad 2006

18

A Classification of Survey Methods
Survey
Methods

Telephone

Personal

In-Home

Traditional
Telephone

Mall
Intercept

Computer-Assisted
Telephone
Interviewing

Mail
Computer-Assisted
Personal
Interviewing
Mail
Interview

Electronic

E-mail

Mail
Panel

Internet

Some Decisions Related to the
Mail Interview Package
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

A Classification of Observation Methods
Classifying
Observation
Methods

Observation Methods

Personal
Mechanical
Observation Observation

Audit

Content
Analysis

Trace
Analysis

A Comparative Evaluation of Observation Methods
Criteria
Degree of structure
Degree of disguise
Ability to observe
in natural setting
Observation bias
Analysis Bias

Personal
Mechanical
Observation Observation

Content
Analysis

Trace
Analysis

Low
Medium
High

Low to high
Low to high
Low to high

High
Low
High

High
High
Medium

Medium
High
Low

High
High

Low
Low to
Medium
Can be
intrusive

Low
Low

Medium
Low

Medium
Medium

General remarks Most flexible
resort

Audit
Analysis

Expensive

Limited to
Method of
communications last

A Comparative Evaluation of Survey Methods for
International Marketing Research
Criteria
Telephone
Personal
Mail
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 and Internet?
+
?
Note: A + denotes an advantage, and a - denotes a disadvantage.

Electronic
+
+
+
+
+
+
+
-

Causal Research Design:
Experimentation

Rahmad 2006

24

A Classification of Experimental Designs
Experimental Designs

Pre-experimental

True
Experimental

Quasi
Experimental

One-Shot Case
Study

Pretest-Posttest
Control Group

Time Series

Randomized
Blocks

One Group
Pretest-Posttest

Posttest: Only
Control Group

Multiple Time
Series

Latin Square

Static Group

Solomon FourGroup

Statistical

Factorial
Design

An Example of a Randomized Block Design

Treatment Groups
Block
Store
Commercial
Commercial
Number Patronage
A
C
1
2
3
4

Heavy
Medium
Low
None

Commercial
B

An Example of Latin Square Design
Interest in the Store
Store Patronage
High
Low

Medium
Heavy

B

A

C
Medium
A
Low and none
B

C
A

B
C

An Example of a Factorial Design

Amount of Store
High
Information
Humor
Low
Medium
High

Amount of Humor
No
Medium
Humor

Humor

Laboratory versus Field Experiments
Factor
Field
Environment
Control
Reactive Error
Demand Artifacts
Internal Validity
External Validity
Time
Number of Units
Ease of implementation
Cost

Laboratory
Artificial
High
High
High
High
Low
Short
Small
High
Low

Realistic
Low
Low
Low
Low
High
Long
Large
Low
High

Criteria for the Selection of Test Markets
Test Markets should have the following qualities:
1) Be large enough to produce meaningful projections. They
should contain at least 2% of the potential actual
population.
2) Be representative demographically.
3) Be representative with respect to product
consumption behavior.
4) Be representative with respect to media usage.
5) Be representative with respect to competition.
6) Be relatively isolated in terms of media and physical distribution.
7) Have normal
historical development in the product class
8) Have