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9780324320879

Essentials Of Marketing Research

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  • ISBN13:

    9780324320879

  • ISBN10:

    0324320876

  • Edition: 3rd
  • Format: Paperback
  • Copyright: 2006-11-08
  • Publisher: South-Western College Pub
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Supplemental Materials

What is included with this book?

Summary

Essentials of Marketing Research equips you with the knowledge and skills involved in this basic research process that will simplify and provide more accuracy to your search for market intelligence. Book jacket.

Table of Contents

Preface xi
PART 1 INTRODUCTION
The Role of Marketing Research
2(21)
Introduction
3(1)
The Nature of Marketing Research
4(2)
Marketing Research Defined
5(1)
Applied and Basic Marketing Research
5(1)
Research Snapshot Good Fat and Bad Fat
6(1)
The Scientific Method
6(1)
The Marketing Concept
7(3)
Customer Orientation
8(1)
Long-Run Profitability
8(1)
A Cross-Functional Effort
9(1)
Research Snapshot Harley-Davidson Goes Abroad
10(1)
Keeping Customers and Building Relationships
10(1)
Marketing Research: A Means for Implementing the Marketing Concept
10(1)
The Managerial Value of Marketing Research for Strategic Decision Making
11(5)
Identifying and Evaluating Opportunities
12(1)
Analyzing and Selecting Target Markets
12(1)
Planning and Implementing a Marketing Mix
13(3)
Research Snapshot Swifter or Swiffer?
16(1)
Analyzing Marketing Performance
16(1)
When Is Marketing Research Needed?
16(2)
Time Constraints
17(1)
Availability of Data
17(1)
Nature of the Decision
17(1)
Benefits versus Costs
17(1)
Marketing Research in the Twenty-First Century
18(1)
Communication Technologies
18(1)
Research Snapshot ``Jacques'' Daniels
19(4)
Global Marketing Research
19(1)
Summary
20(1)
Key Terms and Concepts
21(1)
Questions for Review and Critical Thinking
21(1)
Research Activities
21(1)
Video Case 1.1 Krispy Kreme
21(1)
Video Case 1.2 Ben & Jerry's
22(1)
Information Systems and Knowledge Management
23(17)
Introduction
24(1)
Information, Data, and Intelligence
24(1)
The Characteristics of Valuable Information
24(2)
Relevance
25(1)
Quality
25(1)
Timeliness
26(1)
Completeness
26(1)
Global Information Systems
26(1)
Research Snapshot RFID Technology Gets Cheaper--Marketing Knowledge Grows
27(1)
Decision Support Systems
27(4)
Databases and Data Warehousing
28(1)
Input Management
28(3)
Research Snapshot Staying Home at Home Depot
31(3)
Computerized Data Archives
31(2)
Networks and Electronic Data Interchange
33(1)
The Internet and Research
34(6)
What Exactly Is the Internet?
34(1)
Navigating the Internet
34(1)
Interactive Media and Environmental Scanning
35(1)
Information Technology
35(1)
Intranets
36(1)
Summary
36(1)
Key Terms and Concepts
37(1)
Questions for Review and Critical Thinking
38(1)
Research Activities
38(1)
Case 2.1 Harvard Cooperative Society
38(1)
Video Case 2.2 Wine.com
39(1)
Video Case 2.3 IBM: Enterprise Resource Planning
39(1)
The Marketing Research Process: An Overview
40(21)
Introduction
41(1)
Information Reduces Uncertainty
41(1)
Types of Marketing Research
41(2)
Exploratory Research
42(1)
Descriptive Research
42(1)
Research Snapshot Cute, Funny or Sexy? What Makes a Mascot Tick?
43(1)
Research Snapshot Whines for Wines
44(2)
Causal Research
44(2)
Stages in the Research Process
46(5)
Alternatives in the Research Process
46(1)
Defining the Research Objectives
47(4)
Research Snapshot Nothing So Practical as Theory?
51(6)
Selection of the Basic Research Method
53(2)
Sampling
55(1)
Gathering Data
55(1)
Processing and Analyzing Data
56(1)
Drawing Conclusions and Preparing a Report
56(1)
The Research Program Strategy
57(4)
Summary
58(1)
Key Terms and Concepts
59(1)
Questions for Review and Critical Thinking
59(1)
Research Activities
59(1)
Video Case 3.1 Black Forest Motors/Mercedes-Benz
60(1)
Video Case 3.2 Fisher-Price Rescue Heroes
60(1)
The Human Side of Marketing Research: Organizational and Ethical Issues
61(20)
Who Does the Research?
62(1)
Organizational Structure of Marketing Research
63(1)
Marketing Research Jobs
63(1)
Research Snapshot Marketing Research Pays
64(2)
Cross-Functional Teams
65(1)
Research Suppliers and Contractors
66(1)
Syndicated Service
66(1)
Standardized Research Services
66(1)
Limited Research Service Companies and Custom Research
67(1)
Ethical Issues in Marketing Research
67(4)
Ethical Questions Are Philosophical Questions
67(1)
General Rights and Obligations of Concerned Parties
68(1)
Rights and Obligations of the Research Participant
69(2)
Research Snapshot Is It Right, or Is It Wrong?
71(10)
Rights and Obligations of the Researcher
72(3)
Rights and Obligations of the Client Sponsor (User)
75(1)
Privacy
76(1)
Privacy on the Internet
76(1)
A Final Note on Ethics
76(1)
Summary
77(1)
Key Terms and Concepts
77(1)
Questions for Review and Critical Thinking
78(1)
Research Activities
78(1)
Case 4.1 Global Eating
79(1)
Case 4.2 Big Brother Is Watching?
79(2)
PART 2 DESIGNING RESEARCH STUDIES
Qualitative and Exploratory Research Tools
81(22)
What Is Qualitative Research?
82(2)
Describing a Qualitative Approach
82(1)
Qualitative ``versus'' Quantitative Approaches
83(1)
Research Snapshot Surprises at P&G!
84(1)
Exploratory Research
84(2)
Why Conduct Exploratory Research?
85(1)
Categories of Exploratory Research
86(2)
Experience Surveys
87(1)
Secondary Data Analysis
87(1)
Case Studies
87(1)
Research Snapshot It's Like Riding a Bike!
88(9)
Pilot Studies
88(9)
Research Snapshot Let the Computer Do Your Reading!
97(2)
Exploratory Research in Science and in Practice
99(4)
Misuses of Exploratory and Qualitative Research
99(1)
Summary
99(1)
Key Terms
100(1)
Questions for Review and Critical Thinking
100(1)
Research Activities
101(1)
Case 5.1 Disaster and Consumer Value
101(1)
Video Case 5.2 Goya
101(1)
Video Case 5.3 Edward Jones
102(1)
Secondary Data Research in a Digital Age
103(23)
Secondary Data Research
104(3)
Advantages
104(1)
Disadvantages
104(3)
Typical Objectives for Secondary-Data Research Designs
107(1)
Fact-Finding
107(1)
Research Snapshot New Trends---Music for Mobile Phones
108(5)
Model Building
109(3)
Data Mining
112(1)
Research Snapshot Mining Data from Blogs
113(1)
Database Marketing and Customer Relationship Management
113(1)
Sources of Secondary Data
114(6)
Sources of Internal and Proprietary Data
114(1)
External Data: The Distribution System
114(2)
Information as a Product and Its Distribution Channels
116(4)
Research Snapshot Fandango and Nielsen Keeping an Eye on Moviegoers
120(1)
Single-Source Data-Integrated Information
121(1)
Sources for Global Research
121(5)
Summary
123(1)
Key Terms and Concepts
124(1)
Questions for Review and Critical Thinking
124(1)
Research Activities
124(1)
Case 6.1 Demand for Gas Guzzlers
125(1)
Video Case 6.2 FedEx Corporation
125(1)
Survey Research: An Overview
126(34)
The Nature of Surveys
127(1)
Survey Objectives: Type of Information Gathered
127(1)
Advantages of Surveys
128(1)
Errors in Survey Research
128(1)
Random Sampling Error
128(1)
Systematic Error
128(1)
Respondent Error
129(2)
Nonresponse Error
129(1)
Response Bias
130(1)
Research Snapshot My Opinion? It Depends on Your Words
131(1)
Administrative Error
132(1)
Data-Processing Error
132(1)
Sample Selection Error
132(1)
Interviewer Error
133(1)
Interviewer Cheating
133(1)
Rule-of-Thumb Estimates for Systematic Error
133(1)
What Can Be Done to Reduce Survey Error?
134(1)
Survey Research by Media
134(1)
Human Interactive Media and Electronic Interactive Media
134(1)
Noninteractive Media
134(1)
Personal Interviews
135(3)
Advantages of Personal Interviews
135(1)
Disadvantages of Personal Interviews
136(1)
Door-to-Door Interviews and Shopping Mall Intercepts
137(1)
Research Snapshot Matters of Taste
138(1)
Global Considerations
139(1)
Telephone Interviews
139(4)
Characteristics of Telephone Interviews
139(3)
Central Location Interviewing
142(1)
Computer-Assisted Telephone Interviewing
142(1)
Computerized Voice-Activated Telephone Interview
142(1)
Global Considerations
143(1)
Self-Administered Questionnaires
143(5)
Mail Questionnaires
143(2)
Response Rates
145(1)
Increasing Survey Response Rate
145(3)
Global Considerations
148(1)
Self-Administered Questionnaires Using Other Forms of Distribution
148(3)
Fax Surveys
148(1)
E-Mail Surveys
149(1)
Internet Surveys
149(2)
Research Snapshot Personalizing E-Mail Invitations
151(2)
Kiosk Interactive Surveys
153(1)
Survey Research That Mixes Modes
153(1)
Selecting the Appropriate Survey Research Design
153(2)
Pretesting
155(1)
Ethical Issues in Survey Research
155(5)
Summary
155(1)
Key Terms and Concepts
156(1)
Questions for Review and Critical Thinking
156(2)
Research Activities
158(1)
Case 7.1 National Do Not Call Registry
158(1)
Case 7.2 Royal Bee Electric Fishing Reel
158(2)
Observation
160(15)
Observation in Marketing Research
161(1)
What Can Be Observed?
161(1)
The Nature of Observation Studies
162(1)
Observation of Human Behavior
162(3)
Complementary Evidence
162(1)
Direct Observation
163(2)
Research Snapshot Hand Washing Overreported, Says Observational Research
165(1)
Combining Direct Observation and Interviewing
165(1)
Ethical Issues in the Observation of Humans
165(1)
Observation of Physical Objects
166(1)
Content Analysis
167(1)
Mechanical Observation
167(2)
Television Monitoring
168(1)
Research Snapshot Klipmart Watches Ad Viewership Online
169(6)
Monitoring Website Traffic
169(1)
Scanner-Based Research
170(1)
Measuring Physiological Reactions
170(2)
Summary
172(1)
Key Terms and Concepts
173(1)
Questions for Review and Critical Thinking
173(1)
Case 8.1 Mazda and Syzygy
174(1)
Case 8.2 Texas Instruments and E-Lab
174(1)
Experimental Research: An Overview
175(26)
The Nature of Experiments
176(1)
Basic Issues in Experimental Design
176(2)
Manipulation of the Independent Variable
176(2)
Research Snapshot Does Promotion Cause Intoxication?
178(4)
Selection and Measurement of the Dependent Variable
179(1)
Selection and Assignment of Test Units
179(3)
Demand Characteristics
182(2)
What Are Demand Characteristics?
182(1)
Experimenter Bias and Demand Effects
183(1)
Reducing Demand Characteristics
183(1)
Establishing Control
184(1)
Problems Controlling Extraneous Variables
185(1)
Ethical Issues in Experimentation
185(1)
Fundamental Questions in Experimentation
185(2)
Basic versus Factorial Experimental Designs
185(1)
Laboratory Experiments
186(1)
Field Experiments
186(1)
Research Snapshot The Hidden in Hidden Valley Ranch
187(1)
Issues of Experimental Validity
187(3)
Internal Validity
187(2)
External Validity
189(1)
Trade-Offs Between Internal and External Validity
190(1)
Classification of Experimental Designs
190(4)
Symbolism for Diagramming Experimental Designs
190(1)
Three Examples of Quasi-Experimental Designs
191(1)
Three Alternative Experimental Designs
192(2)
Using Test-Markets
194(1)
Effective Uses of Test-Marketing
194(1)
Research Snapshot Test-Marketing Channels
195(6)
Factors to Consider in Test-Market Selection
196(1)
Summary
197(1)
Key Terms and Concepts
198(1)
Questions for Review and Critical Thinking
198(1)
Research Activities
199(1)
Case 9.1 Examining Product Failure at No-Charge Electronics
199(1)
Case 9.2 Tooheys
199(2)
PART 3 MEASUREMENT
Measurement and Attitude Scaling
201(28)
What Do I Measure?
202(3)
Concepts
203(1)
Operational Definitions
204(1)
Levels of Scale Measurement
205(4)
Nominal Scale
205(1)
Ordinal Scale
206(1)
Interval Scale
207(1)
Ratio Scale
208(1)
Mathematical and Statistical Analysis of Scales
208(1)
Research Snapshot Football Follies
209(1)
Index Measures
209(1)
Indexes and Composites
209(1)
Three Criteria for Good Measurement
210(1)
Reliability
210(1)
Validity
210(1)
Reliability versus Validity
211(1)
Sensitivity
211(1)
Attitudes in Marketing Research
211(1)
Research Snapshot This Hypothetical Construct Is a Four-Letter Word
212(1)
Attitudes as Hypothetical Constructs
212(1)
Techniques for Measuring Attitudes
212(1)
Attitude Rating Scales
213(6)
Simple Attitude Scales
213(1)
Category Scales
213(1)
Method of Summated Ratings: The Likert Scale
214(2)
Semantic Differential
216(1)
Numerical Scales
217(1)
Stapel Scale
217(1)
Constant-Sum Scale
218(1)
Research Snapshot A Measuring Stick for Website Usability
219(2)
Graphic Rating Scales
219(2)
Measuring Behavioral Intention
221(1)
Behavioral Differential
222(1)
Ranking
222(1)
Paired Comparisons
222(1)
Sorting
223(6)
Summary
223(1)
Key Terms and Concepts
224(1)
Questions for Review and Critical Thinking
225(1)
Research Activities
226(1)
Case 10.1 FlyAway Airways
226(2)
Case 10.2 Ha-Pah-Shu-Tse
228(1)
Questionnaire Design
229(36)
Questionnaire Quality and Design: Basic Considerations
230(1)
What Should Be Asked?
230(1)
Questionnaire Relevancy
230(1)
Questionnaire Accuracy
231(1)
How Should Questions Be Phrased?
231(4)
Open-Ended Response versus Fixed-Alternative Questions
231(2)
Types of Fixed-Alternative Questions
233(1)
Phrasing Questions for Self-Administered, Telephone, and Personal Interview Surveys
234(1)
The Art of Asking Questions
235(2)
Avoid Complexity: Use Simple, Conversational Language
236(1)
Avoid Leading and Loaded Questions
236(1)
Research Snapshot What to Do with the Clubhouse?
237(3)
Avoid Ambiguity: Be as Specific as Possible
238(1)
Avoid Double-Barreled Items
239(1)
Avoid Making Assumptions
239(1)
Research Snapshot Who's Really Doing the Housework?
240(1)
Avoid Burdensome Questions That May Tax the Respondent's Memory
240(1)
What Is the Best Question Sequence?
241(1)
Research Snapshot What Citizens (Don't) Know about Climate Change
242(2)
What Is the Best Layout?
244(10)
Traditional Questionnaires
244(3)
Internet Questionnaires
247(7)
How Much Pretesting and Revising Are Necessary?
254(1)
Designing Questionnaires for Global Markets
255(10)
Summary
255(1)
Key Terms and Concepts
256(1)
Questions for Review and Critical Thinking
257(1)
Research Activity
258(1)
Case 11.1 Agency for Healthcare Research and Quality
258(5)
Case 11.2 McDonald's Spanish Language Questionnaire
263(2)
PART 4 SAMPLING AND STATISTICAL THEORY
Sampling Designs and Sampling Procedures
265(23)
Sampling Terminology
266(1)
Why Sample?
266(1)
Pragmatic Reasons
266(1)
Accurate and Reliable Results
267(1)
Destruction of Test Units
267(1)
Practical Sampling Concepts
267(2)
Defining the Target Population
267(1)
The Sampling Frame
268(1)
Research Snapshot George Gallup's Nation of Numbers
269(2)
Sampling Units
271(1)
Random Sampling and Nonsampling Errors
271(2)
Random Sampling Error
271(1)
Systematic Sampling Error
272(1)
Less Than Perfectly Representative Samples
272(1)
Probability versus Nonprobability Sampling
273(1)
Nonprobability Sampling
273(2)
Convenience Sampling
273(1)
Judgment Sampling
274(1)
Quota Sampling
274(1)
Snowball Sampling
275(1)
Probability Sampling
275(4)
Simple Random Sampling
275(1)
Systematic Sampling
276(1)
Stratified Sampling
277(1)
Cluster Sampling
277(1)
Multistage Area Sampling
278(1)
What Is the Appropriate Sample Design?
279(3)
Degree of Accuracy
280(1)
Resources
280(1)
Time
280(1)
Advance Knowledge of the Population
281(1)
National versus Local Project
281(1)
Research Snapshot Reactions to Handbills in Hong Kong
282(1)
Internet Sampling Is Unique
282(6)
Website Visitors
283(1)
Panel Samples
283(1)
Recruited Ad Hoc Samples
283(1)
Opt-in Lists
284(1)
Summary
284(1)
Key Terms and Concepts
285(1)
Questions for Review and Critical Thinking
285(1)
Case 12.1 Who's Fishing?
286(1)
Case 12.2 Scientific Telephone Samples
286(2)
Determination of Sample Size: A Review of Statistical Theory
288(31)
Review of Basic Terminology
289(1)
Descriptive and Inferential Statistics
289(1)
Sample Statistics and Population Parameters
289(1)
Making Data Usable
289(4)
Frequency Distributions
290(1)
Proportions
290(1)
Measures of Central Tendency
291(2)
Research Snapshot Are Incomes Growing? It Depends What You Measure
293(3)
Measures of Dispersion
293(3)
The Normal Distribution
296(4)
Population Distribution, Sample Distribution, and Sampling Distribution
300(1)
Central-Limit Theorem
301(3)
Estimation of Parameters
304(3)
Point Estimates
305(1)
Confidence Intervals
305(2)
Sample Size
307(1)
Random Error and Sample Size
307(1)
Research Snapshot Target and Wal-Mart Shoppers Really Are Different
308(6)
Factors in Determining Sample Size for Questions Involving Means
308(1)
Estimating Sample Size for Questions Involving Means
309(1)
The Influence of Population Size on Sample Size
310(1)
Factors in Determining Sample Size for Proportions
310(2)
Calculating Sample Size for Sample Proportions
312(1)
Determining Sample Size on the Basis of Judgment
313(1)
Determining Sample Size for Stratified and Other Probability Samples
314(1)
A Reminder about Statistics
314(5)
Summary
314(1)
Key Terms and Concepts
315(1)
Questions for Review and Critical Thinking
315(1)
Research Activities
316(1)
Case 13.1 Pointsec Mobile Technologies
316(1)
Case 13.2 Coastal Star Sales Corporation (A)
317(2)
PART 5 ANALYSIS AND REPORTING
Basic Data Analysis
319(26)
The Nature of Descriptive Analysis
320(1)
Tabulation
321(1)
Cross-Tabulation
322(2)
Contingency Tables
322(2)
Research Snapshot Contingent Personalities
324(2)
Percentage Cross-Tabulations
324(1)
Elaboration and Refinement
325(1)
How Many Cross-Tabulations?
325(1)
Data Transformation
326(1)
Simple Transformations
326(1)
Research Snapshot Wine Index Can Help Retailers
327(1)
Calculating Rank Order
327(1)
Tabular and Graphic Methods of Displaying Data
328(3)
Tables
328(1)
Charts and Graphs
329(2)
Computer Programs for Analysis
331(2)
Statistical Packages
331(2)
Univariate Statistics: Stating a Hypothesis
333(1)
Hypothesis Testing
333(3)
The Hypothesis-Testing Procedure
333(1)
An Example of Hypothesis Testing
334(2)
The Chi-Square Test for Goodness of Fit
336(2)
Choosing the Appropriate Technique
338(7)
Number of Variables
338(1)
Scale of Measurement
338(1)
Type of Question to Be Answered
339(1)
Summary
340(1)
Key Terms and Concepts
341(1)
Questions for Review and Critical Thinking
341(1)
Research Activities
342(1)
Case 14.1 Body on Tap
343(1)
Case 14.2 Downy-Q Quilt
343(2)
Differences Between Groups and Relationships Among Variables
345(29)
Introduction
346(1)
What Is the Appropriate Test of Difference?
346(1)
Cross-Tabulation Tables: The χ2 Test for Goodness of Fit
346(5)
What is χ2 test?
348(1)
Steps in Computing a χ2 Test Value
348(1)
χ2 Tests for Two-Way Contingency Tables: Cross-Tabs
349(2)
The t-Test for Comparing Means
351(2)
Independent Samples t-Test
351(2)
Research Snapshot Expert ``T-eeze''
353(2)
Analysis of Variance (ANOVA)
355(4)
What Is ANOVA?
355(1)
Simple Illustration of ANOVA
355(2)
Partitioning Variance in ANOVA
357(1)
The F-Test
358(1)
Research Snapshot More Than One-Way
359(6)
Practically Speaking
360(1)
Correlation Analysis
360(1)
Correlation and Causation
361(1)
Coefficient of Determination
361(1)
The Regression Equation
361(1)
Parameter Estimate Choices
362(1)
Multiple Regression Analysis
363(2)
Research Snapshot Too Much of a Good Thing!
365(9)
Other Multivariate Techniques
367(1)
Summary
368(1)
Key Terms and Concepts
369(1)
Questions for Review and Critical Thinking
369(1)
Exploring the Internet
370(1)
Case 15.1 Springfield Electric Company
371(1)
Case 15.2 Center for American Enterprise: A Study of Psychological and Demographic Contributors to Consumerism
372(2)
Communicating Research Results: Research Report, Oral Presentation, and Research Follow-Up
374(16)
Insights from the Communications Model
375(1)
Research Snapshot Sloppy Numbers in the Crosshairs of Dow Jones Newspaper Fund's Director
376(1)
The Report in Context
376(1)
Report Format
377(4)
Tailoring the Format to the Project
377(1)
The Parts of the Report
378(3)
The Oral Presentation
381(1)
Research Snapshot Noah's Law of Slide Presentations
382(1)
Reports on the Internet
382(1)
The Research Follow-Up
382(1)
Research Snapshot Online Reports: Easy to Get, Easy to Ignore
383(4)
Summary
383(1)
Key Terms and Concepts
384(1)
Questions for Review and Critical Thinking
384(1)
Research Activity
384(1)
Case 16.1 Annenberg Public Policy Center
384(3)
PART 6 COMPREHENSIVE CASES WITH COMPUTERIZED DATABASES
Case 1: Say It Ain't So! Is This the Real Thing?
387(2)
Case 2: TABH, INC., Automotive Consulting
389(1)
Appendix: Statistical Tables 390(6)
Glossary of Frequently Used Symbols 396(1)
Glossary 397(8)
Endnotes 405(6)
Index 411

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