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Chapter 7 Qualitative Research McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.

3 qualitative research in business & data analysis dr. holloman

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Page 1: 3 qualitative research in business & data analysis dr. holloman

Chapter 7

•Qualitative Research

McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.

Page 2: 3 qualitative research in business & data analysis dr. holloman

Learning Objectives

• Understand . . .

• How qualitative methodologies differ from

quantitative methodologies.

• The controversy surrounding qualitative research.

• The types of decisions that use qualitative

methodologies.

• The different qualitative research methodologies.

7-2

Page 3: 3 qualitative research in business & data analysis dr. holloman

Web as a Source

7-3

“It is better to think of the Web . . . as the sounds

of independent voices, just like the street corner

soapbox preacher or that friend of yours who

always recommends the best books.”

David Meerman Scott

marketing strategist and author,

The New Rules of Marketing and PR

Page 4: 3 qualitative research in business & data analysis dr. holloman

PulsePoint:

Research Revelation

7-4

62 The percent of wealthy consumers

reporting that the state of the

economy has changed their view of

luxury purchases . . . that flaunting

luxury is insensitive.

Page 5: 3 qualitative research in business & data analysis dr. holloman

Qualitative Research

and the Research Process

7-5

Page 6: 3 qualitative research in business & data analysis dr. holloman

Qualitative Research

7-6

Focus Groups

Ethnography

Observation Data

Collection

Techniques

IDIs

Case Studies

Action

Research

Grounded

Theory

Group

Interviews

Page 7: 3 qualitative research in business & data analysis dr. holloman

Why Use Qualitative Research?

7-7

“Most of what influences what we say and

do occurs below the level of awareness.

That’s why we need new techniques:

to get at hidden knowledge –

to get at what people don’t know they know.”

Gerald Zaltman

Emeritus Professor, Harvard

Creator, Zmet technique

Page 8: 3 qualitative research in business & data analysis dr. holloman

Qualitative Research

7-8

Trace

Evidence

Artifacts

Other

Techniques

Behavioral

Observations

Textual Analysis

Debriefings

Page 9: 3 qualitative research in business & data analysis dr. holloman

Qualitative Research in Business

•Job Analysis

•Advertising Concept

Development

•Productivity Enhancement

•New Product

Development

•Benefits Management

•Retail Design

•Process Understanding

•Union Representation

•Market Segmentation

•Sales Analysis

7-9

Page 10: 3 qualitative research in business & data analysis dr. holloman

Data Sources

7-10

People

Organizations Texts

Environments

Events and

happenings

Artifacts/ media

products

Page 11: 3 qualitative research in business & data analysis dr. holloman

The Roots of

Qualitative Research

7-11

Psychology

Anthropology

Communication

Sociology Semiotics

Economics

Qualitative

Research

Page 12: 3 qualitative research in business & data analysis dr. holloman

Distinction between

Qualitative & Quantitative

7-12

Theory

Testing

Theory

Building

Page 13: 3 qualitative research in business & data analysis dr. holloman

Focus of Research

• Qualitative

• Understanding

• Interpretation

• Quantitative

• Description

• Explanation

7-13

Page 14: 3 qualitative research in business & data analysis dr. holloman

Researcher Involvement

•Qualitative

•High

•Participation-based

•Quantitative

•Limited

•Controlled

7-14

Page 15: 3 qualitative research in business & data analysis dr. holloman

Research Design

•Qualitative

•Longitudinal

•Multi-method

•Quantitative

•Cross-sectional or longitudinal

•Single method

7-15

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Sample Design and Size

•Qualitative

•Non-probability

•Purposive

•Small sample

•Quantitative

•Probability

•Large sample

7-16

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Data Type and Preparation

•Qualitative

•Verbal or pictorial

•Reduced to verbal codes

•Quantitative

•Verbal descriptions

•Reduced to numeric codes

7-17

Page 18: 3 qualitative research in business & data analysis dr. holloman

Turnaround

•Qualitative

• Shorter turnaround

possible

• Insight development

ongoing

•Quantitative

• May be time-consuming

• Insight development follows data entry

7-18

Page 19: 3 qualitative research in business & data analysis dr. holloman

Data Analysis

7-19

Qualitative

•Nonquantitative;

•Human judgment mixed

with fact

•Emphasis on themes

Quantitative

•Computerized analysis

•Facts distinguished

•Emphasis on counts

Page 20: 3 qualitative research in business & data analysis dr. holloman

Qualitative Research

and the Research Process

7-20

Page 21: 3 qualitative research in business & data analysis dr. holloman

Pretasking Activities

7-21

Use product in home

Bring visual stimuli

Create collage

Keep diaries

Construct a story

Draw pictures

Page 22: 3 qualitative research in business & data analysis dr. holloman

Formulating the Qualitative Research

Question

7-22

Page 23: 3 qualitative research in business & data analysis dr. holloman

Choosing the

Qualitative Method

7-23

Types of

participants

Researcher

characteristics

Factors

Schedule

Budget

Topics

Project’s

purpose

Page 24: 3 qualitative research in business & data analysis dr. holloman

NonProbability Sampling

7-24

Purposive

Sampling

Snowball

Sampling

Convenience

Sampling

Page 25: 3 qualitative research in business & data analysis dr. holloman

Qualitative Sampling

7-25

General sampling rule:

Keep conducting interviews until no

new insights are gained.

Page 26: 3 qualitative research in business & data analysis dr. holloman

The Interview Question Hierarchy

7-26

Page 27: 3 qualitative research in business & data analysis dr. holloman

Interviewer Responsibilities

• Recommends topics

and questions

• Controls interview

• Plans location and

facilities

• Proposes criteria for

drawing sample

• Writes screener

• Recruits participants

• Develops pretasking

activities

• Prepares research

tools

• Supervises

transcription

• Helps analyze data

• Draws insights

• Writes report

7-27

Page 28: 3 qualitative research in business & data analysis dr. holloman

Elements of a Recruitment Screener

• Heading

• Screening

requirements

• Identity information

• Introduction

• Security questions

• Demographic

questions

• Behavior questions

• Lifestyle questions

• Attitudinal and

knowledge questions

• Articulation and

creative questions

• Offer/ Termination

7-28

Page 29: 3 qualitative research in business & data analysis dr. holloman

Interview Formats

7-29

Unstructured

Semi-structured

Structured

Page 30: 3 qualitative research in business & data analysis dr. holloman

Requirements for

Unstructured Interviews

7-30

Distinctions

Developed dialog

Interviewer skill

Probe for

answers

Interviewer

creativity

Page 31: 3 qualitative research in business & data analysis dr. holloman

The Interview Mode

7-31

Group Individual

Page 32: 3 qualitative research in business & data analysis dr. holloman

IDI vs Group

Individual Interview Group Interview • Explore life of individual in depth

• Create case histories through

repeated interviews over time

• Test a survey

• Orient the researcher to a field of inquiry and

the language of the field

• Explore a range of attitudes, opinions, and

behaviors

• Observe a process of consensus and

disagreement

• Detailed individual experiences,

choices, biographies

• Sensitive issues that might

provoke anxiety

• Issues of public interest or common concern

• Issues where little is known or of a hypothetical

nature

• Time-pressed participants or those

difficult to recruit (e.g., elite or high-

status participants)

• Participants with sufficient language

skills (e.g., those older than seven)

• Participants whose distinctions

would inhibit participation

• Participants whose backgrounds are similar or

not so dissimilar as to generate conflict or

discomfort

• Participants who can articulate their ideas

• Participants who offer a range of positions on

issues

7-32

Re

se

arc

h

Ob

jec

tive

To

pic

Co

nc

ern

s

Pa

rtic

ipa

nts

Page 33: 3 qualitative research in business & data analysis dr. holloman

Research Using IDIs

7-33

Cultural

interviews

Sequential

interviewing

Types

Life histories

Critical

incident

techniques

Oral histories

Ethnography

Page 34: 3 qualitative research in business & data analysis dr. holloman

Projective Techniques

7-34

MET

Sensory sorts

Semantic

Mapping Data

Collection

Techniques

Sentence

Completion

Cartoons

Thematic

Apperception

Laddering Association

Component

Sorts

Imagination

Exercises

Page 35: 3 qualitative research in business & data analysis dr. holloman

Projective Techniques

7-35

Anderson Analytics

uses a cast of

characters during

interviewing.

Page 36: 3 qualitative research in business & data analysis dr. holloman

Group Interviews

•Mini-Groups

–Dyads

–Triads

•Small Groups –Focus Groups

•Supergroups

7-36

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Determining the Number of

Groups

7-37

Scope

Number of distinct segments

Desired number of ideas

Desired level of detail

Homogeneity

Level of distinction

Page 38: 3 qualitative research in business & data analysis dr. holloman

Group Interview Modes

7-38

Telephone

Online

Videoconference

Face-to-Face

Page 39: 3 qualitative research in business & data analysis dr. holloman

Combining Qualitative Methodologies

7-39

Action Research Case Study

Page 40: 3 qualitative research in business & data analysis dr. holloman

Triangulation: Merging Qualitative and

Quantitative

7-40

Conduct studies

simultaneously

Perform series:

Qualitative,

Quantitative,

Qualitative

Ongoing qualitative

with multiple waves

of quantitative

Quantitative

precedes

Qualitative

Page 41: 3 qualitative research in business & data analysis dr. holloman

Key Terms

• Action research

• Case study

• CAPI

• Content analysis

• Creativity session

• Ethnography

• Focus groups

• Group interview

• IDI

– Convergent interviewing

– Critical incident technique

– Cultural interviews

– Grounded theory

– Life histories

– Oral history

– Sequential interviewing

• Interview

7-41

Page 42: 3 qualitative research in business & data analysis dr. holloman

Key Terms (cont.)

• Interview guide

• Moderator

• Non-probability sampling

• Pretasking

• Probability sampling

• Qualitative research

• Quantitative research

• Recruitment screener

• Triangulation

• Projective techniques

– Cartoons

– Component sorts

– Imagination exercises

– Laddering

– Metaphor Elicitation

Technique

– Semantic mapping

• Brand mapping

– Sensory sorts

– Sentence completion

– Thematic Apperception

Test

– Word or picture

association

7-42

Page 43: 3 qualitative research in business & data analysis dr. holloman

Chapter 8

•Observation Studies

McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.

Page 44: 3 qualitative research in business & data analysis dr. holloman

8-44

Learning Objectives

• Understand . . .

• When observation studies are most useful.

• Distinctions between monitoring. nonbehavioral

and behavioral activities

• Strengths of the observation approach in

research design.

• Weaknesses of the observation approach in

research design.

Page 45: 3 qualitative research in business & data analysis dr. holloman

8-45

Learning Objectives

• Understand . . .

• Three perspectives from which the observer-participant relationship may be viewed.

• Various designs of observation studies.

Page 46: 3 qualitative research in business & data analysis dr. holloman

8-46

How Our Brain Works

“Once a pattern becomes predictable, the

brain starts to ignore it. We get bored;

attention is a scare resource, so why waste

it on something that’s perfectly predictable.”

Jonah Lehrer

neuroscientist and author,

How We Decide

Page 47: 3 qualitative research in business & data analysis dr. holloman

8-47

PulsePoint:

Research Revelation

3 The number of minutes the average

cubicle dweller works before being

interrupted by phone, e-mail, instant

message, or social networking activities.

Page 48: 3 qualitative research in business & data analysis dr. holloman

8-48

Observation and the Research

Process

Page 49: 3 qualitative research in business & data analysis dr. holloman

8-49

Selecting the

Data Collection Method

Page 50: 3 qualitative research in business & data analysis dr. holloman

8-50

Selecting an Observation

Data Collection Approach

Page 51: 3 qualitative research in business & data analysis dr. holloman

8-51

Research Design

How?

Where?

Task Details

What?

(event or time)

When?

Who?

Page 52: 3 qualitative research in business & data analysis dr. holloman

8-52

Observation Location

Page 53: 3 qualitative research in business & data analysis dr. holloman

8-53

Content of Observation

Factual Inferential • Introduction/identification of salesperson and

customer.

• Credibility of salesperson. Qualified status of

customer.

• Time and day of week. • Convenience for the customer. Welcoming

attitude of the customer

• Product presented. • Customer interest in product.

• Selling points presented per product. • Customer acceptance of selling points of product.

• Number of customer objections raised per

product.

• Customer concerns about features and benefits.

• Salesperson’s rebuttal of objection. • Effectiveness of salesperson’s rebuttal attempts.

• Salesperson’s attempt to restore controls. • Effectiveness of salesperson’s control attempt.

• Consequences for customer who prefers

interaction.

• Length of interview.

• Customer’s/salesperson’s degree of enthusiasm

for the interview.

• Environmental factors interfering with the

interview.

• Level of distraction for the customer.

• Customer purchase decision. • General evaluation of sale presentation skill.

Page 54: 3 qualitative research in business & data analysis dr. holloman

8-54

Data Collection

Watching

Listening

Touching

Smelling

Reading

Page 55: 3 qualitative research in business & data analysis dr. holloman

8-55

Using Observation

Systematic planning

Properly controlled

Consistently dependable

Accurate account of events

Page 56: 3 qualitative research in business & data analysis dr. holloman

8-56

Observation Classification

•Nonbehavioral

• Physical condition

analysis

• Process or Activity

analysis

• Record analysis

•Behavioral

• Nonverbal

• Linguistic

• Extralinguistic

• Spatial

Page 57: 3 qualitative research in business & data analysis dr. holloman

8-57

Selecting an Observation Data

Collection Approach …

Nonbehavioral

Page 58: 3 qualitative research in business & data analysis dr. holloman

8-58

Nonbehavioral Observation

Record

Analysis

Physical Condition

Analysis

Physical Process

Analysis

Page 59: 3 qualitative research in business & data analysis dr. holloman

8-59

Selecting an Observation

Data Collection Approach…

Behavioral

Page 60: 3 qualitative research in business & data analysis dr. holloman

8-60

Wal-Mart Implements

RFID Labels

Page 61: 3 qualitative research in business & data analysis dr. holloman

8-61

RFID Changes Monitoring

“We can certainly understand and appreciate

consumer concern about privacy. That’s why we

want our customers to know that RFID tags will

not contain nor collect any additional data about

our customers. In fact in the foreseeable future,

there won’t even be any RFID readers on our

stores’ main sales floors.”

Linda Dillman

EVP & Chief Information Officer

Wal-Mart

Page 62: 3 qualitative research in business & data analysis dr. holloman

8-62

Behavioral Observation

•“We noticed people scraping the toppings off our pizza crusts. We thought at first there was something wrong, but they said, ‘We love it, we just don’t eat the crust anymore.”

Tom Santor,

Donatos Pizza

Page 63: 3 qualitative research in business & data analysis dr. holloman

8-63

Systematic Observation

Encoding

observation

information

Structured

Systematic

Trained

observers

Standardized

procedures

Recording

schedules

Page 64: 3 qualitative research in business & data analysis dr. holloman

8-64

Flowchart for Observation

Checklist Design

Page 65: 3 qualitative research in business & data analysis dr. holloman

8-65

Mechanical/ Digital Behavioral

Observation

Eye camera

Pupilometer

Devices

Audio recorder

Video camera

Galvanometer

Tachistoscope

Page 66: 3 qualitative research in business & data analysis dr. holloman

8-66

SizeUSA

Body Measurement System

Page 67: 3 qualitative research in business & data analysis dr. holloman

8-67

Portable People Meters

Page 68: 3 qualitative research in business & data analysis dr. holloman

8-68

Observer-Participant Relationship

Direct vs. indirect

Known vs. unknown

Involved vs. uninvolved

Page 69: 3 qualitative research in business & data analysis dr. holloman

8-69

Extralinguistic Observation

Vocal

Temporal

Interaction

Verbal Stylistic

Page 70: 3 qualitative research in business & data analysis dr. holloman

8-70

Desired Characteristics for Observers

Concentration

Detail-oriented

Unobtrusive

Experience level

Page 71: 3 qualitative research in business & data analysis dr. holloman

8-71

Errors Introduced by Observers

Observer Drift Halo Effect

Page 72: 3 qualitative research in business & data analysis dr. holloman

8-72

Evaluation of

Behavioral Observation

•Strengths

• Securing information that

is otherwise unavailable

• Avoiding participant

filtering/ forgetting

• Securing environmental

context

• Optimizing naturalness

• Reducing obtrusiveness

•Weaknesses

• Enduring long periods

• Incurring higher expenses

• Having lower reliability of

inferences

• Quantifying data

• Keeping large records

• Being limited on

knowledge of cognitive

processes

Page 73: 3 qualitative research in business & data analysis dr. holloman

8-73

Key Terms

• Concealment

• Event sampling

• Halo effect

• Observation – Direct

– Extralinguistic

– Indirect

– Linguistic

– Nonverbal

– Participant

– Simple

– Spatial

– Systematic

Page 74: 3 qualitative research in business & data analysis dr. holloman

8-74

Key Terms

• Observation checklist

• Observer drift

• Physical condition

analysis

• Physical trace

• Process (activity)

analysis

• Reactivity response

• Record analysis

• Spatial Relationships

• Time sampling

• Unobtrusive measures

Page 75: 3 qualitative research in business & data analysis dr. holloman

Chapter 9

•Experiments

McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.

Page 76: 3 qualitative research in business & data analysis dr. holloman

9-76

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.

Page 77: 3 qualitative research in business & data analysis dr. holloman

9-77

Experiments Challenge Perceptions

“There is no such thing as a failed

experiment, only experiments with

unexpected outcomes.”

Richard Buckminster Fuller,

engineer and architect

Page 78: 3 qualitative research in business & data analysis dr. holloman

9-78

PulsePoint:

Research Revelation

45 The percent of smartphone users who

check their e-mail before they get

dressed.

Page 79: 3 qualitative research in business & data analysis dr. holloman

9-79

Causal Evidence

Agreement between

IVs and DVs

Time order of occurrence

Extraneous variables

did not influence DVs

Page 80: 3 qualitative research in business & data analysis dr. holloman

9-80

Causal Evidence?

Page 81: 3 qualitative research in business & data analysis dr. holloman

9-81

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

Page 82: 3 qualitative research in business & data analysis dr. holloman

9-82

Experimentation in the Research

Process

Page 83: 3 qualitative research in business & data analysis dr. holloman

9-83

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

Page 84: 3 qualitative research in business & data analysis dr. holloman

9-84

Experiment: Placement of Benefits

Module

Page 85: 3 qualitative research in business & data analysis dr. holloman

9-85

Selecting and Assigning Participants

Random

assignment Matching

Page 86: 3 qualitative research in business & data analysis dr. holloman

9-86

Random Assignment

Page 87: 3 qualitative research in business & data analysis dr. holloman

9-87

Quota Matrix Example

Page 88: 3 qualitative research in business & data analysis dr. holloman

9-88

Measurement Options

Scaling

techniques

Physiological

measures

Options

Paper-and-

pencil tests

Observation

Self-

administered

instruments

Page 89: 3 qualitative research in business & data analysis dr. holloman

9-89

Validity in Experimentation

External Internal

Page 90: 3 qualitative research in business & data analysis dr. holloman

9-90

Threats to Internal Validity

Threats

Maturation History

Testing

Instrumentation

Selection

Statistical

regression

Experimental

mortality

Page 91: 3 qualitative research in business & data analysis dr. holloman

9-91

Additional Threats to Internal

Validity

Diffusion of treatment

Compensatory equalization

Compensatory rivalry

Resentful disadvantaged

Local history

Page 92: 3 qualitative research in business & data analysis dr. holloman

9-92

Threats to External Validity

Reactivity of

testing on X

Interaction of

selection and X

Other

reactive factors

Page 93: 3 qualitative research in business & data analysis dr. holloman

9-93

Experiments Challenge Perceptions

“We need to keep an open mind and approach

life as a series of experiments. We need to

observe the experiments happening around us

and create new ones. Instead of accepting the

world as we think it is, we need to keep testing it

to find out what it is and what works.”

Jerry Wind

Wharton School of Business,

University of Pennsylvania

Page 94: 3 qualitative research in business & data analysis dr. holloman

9-94

Experimental Research Designs

Pre-experiments

True experiments

Field experiments

Page 95: 3 qualitative research in business & data analysis dr. holloman

9-95

After-Only Case Study

X O

Pre-experiment

Page 96: 3 qualitative research in business & data analysis dr. holloman

9-96

One Group Pretest-Posttest

O1 X O2

Pre-experiment

Page 97: 3 qualitative research in business & data analysis dr. holloman

9-97

Static Group Comparison

X O1

O2

Pre-experiment

Page 98: 3 qualitative research in business & data analysis dr. holloman

9-98

Pretest-Posttest Control Group

Design

R O1 X O2

R O3 O4

True experiment

Page 99: 3 qualitative research in business & data analysis dr. holloman

9-99

Posttest-Only

with Control Group

True experiment

R X O1

R O2

Page 100: 3 qualitative research in business & data analysis dr. holloman

9-100

Nonequivalent Control Group

Design

O1 X O2

O3 O4

Field experiment

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9-101

Separate Sample

Pretest-Posttest

R O1 (X)

R X O2

Field experiment

Page 102: 3 qualitative research in business & data analysis dr. holloman

9-102

Group Time Series Design

R O1 O2 O3 X O4 O5 O6

R O7 O8 O9 O10 O11 O12

Field experiment

Page 103: 3 qualitative research in business & data analysis dr. holloman

9-103

Job Enrichment

Quasi-Experiment

Page 104: 3 qualitative research in business & data analysis dr. holloman

9-104

Experiment:

Refining Store Design

Page 105: 3 qualitative research in business & data analysis dr. holloman

9-105

Experiment:

The Right Size of Flavor

Page 106: 3 qualitative research in business & data analysis dr. holloman

9-106

Key Terms

• Blind

• Control group

• Controlled test

market

• Dependent variable

• Double-blind

• Environmental

control

• Experiment

• Experimental

treatment

• External validity

• Field experiment

• Hypothesis

• Independent variable

• Internal validity

Page 107: 3 qualitative research in business & data analysis dr. holloman

9-107

Key Terms

• Matching

• Operationalized

• Quota matrix

• Random assignment

• Replication

• Test market

– Electronic test market

– Simulated test market

– Standard test market

– Virtual test market

• Treatment levels

• Web-enabled test

market

Page 108: 3 qualitative research in business & data analysis dr. holloman

Appendix 9b

•Test Markets

9-108

Page 109: 3 qualitative research in business & data analysis dr. holloman

9-109

Test Market Selection

Isolation

Control of

distribution

Criteria

Representative

Over-testing

Media

coverage

Multiple

locations

Page 110: 3 qualitative research in business & data analysis dr. holloman

9-110

Types of Test Markets

Standard

Controlled

Electronic

Simulated

Virtual

Web-enabled

Page 111: 3 qualitative research in business & data analysis dr. holloman

9-111

Test Market Cities