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McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.
E X P E R I M E N T S
Chapter 9
9-2
Learning Objectives
Understand . . .
 Uses for experimentation.
 Advantages and disadvantages of the
experimental method.
 Seven steps of a well-planned experiment.
 Internal and external validity with experimental
research designs.
 Three types of experimental designs and the
variations of each.
9-3
Pull Quote
“This is a time of [e-book app]
experimentation. I’d be really
disappointed if we weren’t seeing both
successes and failures. I do think that
everyone seems to be looking at these
differently.”
Barbara Marcus, consultant and adviser,
Open Road Integrated Media
9-4
Causal Evidence
Agreement between
IVs and DVs
Time order of occurrence
Extraneous variables
did not influence DVs
9-5
Causal Evidence?
9-6
Evaluation of Experiments
Advantages
 Ability to manipulate IV
 Use of control group
 Control of extraneous
variables
 Replication possible
 Field experiments
possible
Disadvantages
 Artificiality of labs
 Non-representative
sample
 Expense
 Focus on present and
immediate future
 Ethical limitations
9-7
Experimentation
in the Research
Process
9-8
Conducting an Experiment
Specify treatment levels
Control environment
Choose experimental design
Select and assign participants
Pilot-test, revise, and test
Collect data
Analyze data
Specify treatment variables
9-9
Experiment: Placement of Benefits
Module
9-10
Selecting and Assigning Participants
Random
assignment
Matching
9-11
Random Assignment
Equal and known
chance of being
assigned to any group
in the experiment
9-12
Quota
Matrix
Example
9-13
Measurement Options
Scaling
techniques
Physiological
measures
Options
Paper-and-
pencil tests
Observation
Self-
administered
instruments
9-14
Validity in Experimentation
External
Internal
9-15
Threats to Internal Validity
Threats
Maturation History
Testing
Instrumentation
Selection
Statistical
regression
Experimental
mortality
9-16
Additional Threats to Internal Validity
Diffusion of treatment
Compensatory equalization
Compensatory rivalry
Resentful disadvantaged
Local history
9-17
Threats to External Validity
Reactivity of
testing on X
Interaction of
selection and X
Other
reactive factors
9-18
Experimental Research Designs
Pre-experiments
True experiments
Field experiments
9-19
After-Only Case Study
X O
Pre-experiment
9-20
One Group Pretest-Posttest
Pre-experiment
O1 X O2
9-21
Static Group Comparison
X O1
O2
Pre-experiment
9-22
Pretest-Posttest
Control Group Design
R O1 X O2
R O3 O4
True experiment
9-23
Posttest-Only with Control Group
True experiment
R X O1
R O2
9-24
Nonequivalent Control Group Design
O1 X O2
O3 O4
Field experiment
9-25
Separate Sample
Pretest-Posttest
R O1 (X)
R X O2
Field experiment
9-26
Group Time Series Design
R O1 O2 O3 X O4 O5 O6
R O7 O8 O9 O10 O11 O12
Field experiment
9-27
Close-Up:
A Job Enrichment Quasi-Experiment
McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.
S U R V E Y S
Chapter 10
9-29
Learning Objectives
Understand . . .
 The process for selecting the appropriate and
optimal communication approach.
 Factors affect participation in communication
studies.
 Sources of error in communication studies and
how to minimize them.
 Major advantages and disadvantages of the three
communication approaches.
 Why an organization might outsource a
communication study.
9-30
Pull Quote
“If social media is the temperature check, surveys are the
taste test to validate that the meal is cooked properly. A
good survey enables you to: (1) tune out the noise and zero
in on the opinions and comments that are directly applicable
to your most pressing questions, and (2) validate trends and
shifts in preference that you may have suspected, but
weren’t certain about.”
Reggie Aggarwal, CEO,
Cvent
9-31
Data
Collection
Approach
9-32
Selecting a
Communication
Data Collection
Approach
9-33
Dilemma for Surveys
“The ubiquity of cell phones and the rapid and
continuing development of the Internet have
completely altered the way we talk to each other,
the way marketers talk to customers, the way
customers shop and the way the media research
their audiences.”
Alain Tessier, founder,
Mediamark Research, Inc.
9-34
Communication Approach
Strengths
 Versatility
 Efficiency
 Geographic coverage
Weaknesses
 Error
 Inaccessible populations
9-35
Sources of Error
Measurement
Questions
Interviewer
Participant
9-36
Participant Motivation
9-37
Response Terms
Noncontact rate
Refusal rate
Incidence rate
9-38
Communication Approaches
Self-
Administered
Survey
Survey via
Personal
Interview
Telephone
Survey
9-39
Self-Administered Surveys
Disk-by-Mail
Intercept
Modes
Drop-off
Mail
CASI
Fax
9-40
Self-Administered Surveys
Anonymity
Topic
Coverage
Systematic
Sample
Accessibility
Costs
Time
Constraints
9-41
Designing Questionnaires Using the
TDM
Easy to read
Offer clear directions
Include personalization
Notify in advance
Encourage response
9-42
Options for Web-based Surveys
Surveying
Software
Fee-Based
Service
9-43
Advantages of Surveying Software
 Questionnaire design in word processing
environment
 Question and scale libraries
 Automated publishing to the Web
 Real-time viewing of incoming data
 Rapid transmission of results
 Flexible analysis and reporting mechanisms
9-44
The Web as a Survey Research Venue
Advantages
 Cost savings
 Short turnaround
 Use of visual stimuli
 Access to participants
 Perception of
anonymity
 Access to data and
experiences otherwise
unavailable
Disadvantages
 Recruitment
 Coverage
 Difficulty developing
probability samples
 Technical skill
 System compatibility
issues
 Possible self-selection
bias
9-45
Advantages of
Self-Administered Study
 Access inaccessible
participants
 Incentives for higher
response rates
 Lowest-cost
 Geographic coverage
 Minimal staff
needed
 Perceived anonymity
 Reflection time
 Question complexity
 Rapid data collection
 Visuals possible
 Multiple sampling
possible
9-46
Disadvantages of
Self-Administered Study
 Low response rates in
some modes
 No interviewer
intervention
 Cannot be too long
 Cannot be too complex
 Requires accurate list
 Skewed responses by
extremists
 Participant anxiety
possible
 Directions necessary
 Need for low-distraction
environment
 Security
9-47
Improving Response Rates
Monetary Incentives
Participation Deadlines
Promise of Anonymity
Appeal for Participation
Advance Notification
Reminders
Return Directions & Devices
9-48
Telephone Survey
Traditional
CATI systems
Computer-administered
9-49
Designing Questionnaires Using
the TDM
Lower Cost vs. Personal Interview
Fast completion time
Random dialing
CATI
Wide geographic coverage
Fewer Interviewers
Reduced interviewer bias
9-50
Disadvantages of the Telephone
Survey
 Lower response rate
 Early termination
 Higher costs if
geographically
dispersed sample
 Limited Interview
length
 Inaccessible
populations
 Limited complexity of
scales
iPhone
Voice-over IP
9-51
Survey via Personal Interview
Intercept
CAPI
9-52
Personal Interview Survey
Advantages
 Good cooperation rates
 Interviewer can probe
and explain
 Visual aids possible
 Illiterate participants
can be reached
 Interviewer can
prescreen
 CAPI possible
Disadvantages
 High costs
 Need for highly trained
interviewers
 Time consuming
 Labor-intensive
 Some unwilling to invite
strangers into homes
 Interviewer bias
possible
9-53
The Nature of Sampling
Population
Population Element
Sampling Frame
Census
Sample
9-54
Why Sample?
Greater
accuracy
Availability of
elements
Greater
speed
Sampling
provides
Lower cost
9-56
When Is a Census Appropriate?
Necessary
Feasible
9-57
What Is a Valid Sample?
Accurate Precise
9-58
Sampling
Design
within
the
Research
Process
9-59
Types of Sampling Designs
Element
Selection
Probability Nonprobability
•Unrestricted • Simple random • Convenience
•Restricted • Complex random • Purposive
• Systematic • Judgment
•Cluster •Quota
•Stratified •Snowball
•Double
9-60
Steps in Sampling Design
What is the target population?
What are the parameters of interest?
What is the sampling frame?
What is the appropriate sampling
method?
What size sample is needed?
9-61
When to Use Larger Sample?
Desired
precision
Number of
subgroups
Confidence
level
Population
variance
Small error
range
9-62
Simple Random
Advantages
 Easy to implement
with random dialing
Disadvantages
 Requires list of
population elements
 Time consuming
 Larger sample needed
 Produces larger errors
 High cost
9-63
Sample Frame
List of elements in population
Complete and correct
Error rate increases over time
May include elements that
must be screened out
International frames
most problematic
9-64
How to Choose a Random Sample
9-65
Systematic
Advantages
 Simple to design
 Easier than simple
random
 Easy to determine
sampling distribution
of mean or
proportion
Disadvantages
 Periodicity within
population may skew
sample and results
 Trends in list may
bias results
 Moderate cost
9-66
Stratified
Advantages
 Control of sample size in
strata
 Increased statistical
efficiency
 Provides data to represent
and analyze subgroups
 Enables use of different
methods in strata
Disadvantages
 Increased error if
subgroups are selected at
different rates
 Especially expensive if
strata on population must
be created
 High cost
9-67
Cluster
Advantages
 Provides an unbiased
estimate of population
parameters if properly
done
 Economically more
efficient than simple
random
 Lowest cost per sample
 Easy to do without list
Disadvantages
 Often lower statistical
efficiency due to
subgroups being
homogeneous rather than
heterogeneous
 Moderate cost
9-68
Stratified and Cluster Sampling
Stratified
 Population divided into
few subgroups
 Homogeneity within
subgroups
 Heterogeneity between
subgroups
 Choice of elements from
within each subgroup
Cluster
 Population divided into
many subgroups
 Heterogeneity within
subgroups
 Homogeneity between
subgroups
 Random choice of
subgroups
9-69
Area Sampling
Well defined political or
geographical boundaries
Low cost
Frequently used
9-70
Double Sampling
Advantages
 May reduce costs if first
stage results in enough
data to stratify or
cluster the population
Disadvantages
 Increased costs if
discriminately used
9-71
Nonprobability Samples
Cost
Feasibility
Time
No need to
generalize
Limited
objectives
9-72
Nonprobability Sampling Methods
Convenience
Judgment
Quota
Snowball
9-73
Key Terms
 Area sampling
 Census
 Cluster sampling
 Convenience sampling
 Disproportionate
stratified sampling
 Double sampling
 Judgment sampling
 Multiphase sampling
 Nonprobability
sampling
 Population
 Population element
 Population parameters
 Population proportion
of incidence
 Probability sampling
9-74
Key Terms
 Proportionate
stratified sampling
 Quota sampling
 Sample statistics
 Sampling
 Sampling error
 Sampling frame
 Sequential sampling
 Simple random
sample
 Skip interval
 Snowball sampling
 Stratified random
sampling
 Systematic sampling
 Systematic variance

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sesi 5.pptx