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LooseLeaf for Essentials of Marketing Research 4th edition [Loose-leaf]

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  • Formatas: Loose-leaf, 448 pages, aukštis x plotis x storis: 252x201x15 mm, weight: 744 g
  • Išleidimo metai: 16-Dec-2016
  • Leidėjas: McGraw-Hill Inc.,US
  • ISBN-10: 0078112117
  • ISBN-13: 9780078112119
Kitos knygos pagal šią temą:
  • Formatas: Loose-leaf, 448 pages, aukštis x plotis x storis: 252x201x15 mm, weight: 744 g
  • Išleidimo metai: 16-Dec-2016
  • Leidėjas: McGraw-Hill Inc.,US
  • ISBN-10: 0078112117
  • ISBN-13: 9780078112119
Kitos knygos pagal šią temą:
Essentials of Marketing Research delivers a concise, up-to-date review of a broad variety of marketing research topics. Its application-oriented approach equips students with tools and skills necessary to solve business problems and maximize opportunities. The authors' years of practical market research experience is evidenced in everything from their thorough treatment of qualitative research (a topic often given short shrift) to their knowledgeable coverage of sample size rules-of-thumb, background literature reviews, and new market research tools and techniques including new coverage of structural modeling and Partial Least Squares Structural Equation Modeling (PLS-SEM).

Essentials of Marketing Research gives students a strong command of market research principles, while at the same time being concise enough for use alongside cases and other course projects.

Essentials of Marketing Research is available through McGraw-Hill Connect®, a subscription-based learning service accessible online through personal computer or tablet. A subscription to Connect includes the following:

SmartBook® - an adaptive digital version of the course textbook that personalizes the reading experience based on how well students are learning the content. Access to homework assignments, quizzes, syllabus, notes, reminders, and other important files for the course. Progress dashboards that quickly show students how they are performing on assignments, with tips for improvement. The option to purchase (for a small fee) a print version of the book. This binder-ready, loose-leaf version includes free shipping.



 

Complete system requirements to use Connect can be found here: http://www.mheducation.com/highered/platforms/connect/training-support-students.html.
Part 1: The Role and Value of Marketing Research Information 1(46)
1 Marketing Research for Managerial Decision Making
2(22)
Geofencing
3(1)
The Growing Complexity of Marketing Research
4(2)
Marketing Research Dashboard: Conducting International Marketing Research
4(2)
The Role and Value of Marketing Research
6(4)
Marketing Research and Marketing Mix Variables
6(3)
Marketing Theory
9(1)
Marketing Research Dashboard: The Perfect Pricing Experiment?
10(1)
The Marketing Research Industry
10(2)
Types of Marketing Research Firms
10(1)
Changing Skills for a Changing Industry
11(1)
Ethics in Marketing Research Practices
12(5)
Ethical Questions in General Business Practices
12(1)
Conducting Research Not Meeting Professional Standards
13(1)
Abuse of Respondents
14(1)
Unethical Activities of the Client/Research User
15(1)
Marketing Research Dashboard
15(1)
Unethical Activities by the Respondent
16(1)
Marketing Research Codes of Ethics
16(13)
Continuing Case Study: The Santa Fe Grill Mexican Restaurant
17(1)
Emerging Trends
17(1)
Marketing Research in Action
18(1)
Continuing Case: The Santa Fe Grill
18(2)
Summary
20(1)
Key Terms and Concepts
20(1)
Review Questions
21(1)
Discussion Questions
21(1)
Appendix A
22(2)
2 The Marketing Research Process and Proposals
24(23)
Solving Marketing Problems Using a Systematic Process
25(1)
Value of the Research Process
26(1)
Changing View of the Marketing Research Process
26(1)
Determining the Need for Information Research
27(2)
Marketing Research Dashboard: Decision Makers And Researchers
28(1)
Overview of the Research Process
29(2)
Transforming Data into Knowledge
30(1)
Interrelatedness of the Steps and the Research Process
31(1)
Phase I: Determine the Research Problem
31(5)
Step 1: Identify and Clarify Information Needs
32(2)
Step 2: Define the Research Questions
34(2)
Step 3: Specify Research Objectives and Confirm the Information Value
36(1)
Phase II: Select the Research Design
36(3)
Step 4: Determine the Research Design and Data Sources
36(2)
Marketing Research Dashboard: Measuring Effectiveness Of Online Advertising Formats
37(1)
Step 5: Develop the Sampling Design and Sample Size
38(1)
Step 6: Examine Measurement Issues and Scales
38(1)
Step 7: Design and Pretest the Questionnaire
39(1)
Phase III: Execute the Research Design
39(1)
Step 8: Collect and Prepare Data
39(1)
Step 9: Analyze Data
39(1)
Step 10: Interpret Data to Create Knowledge
40(1)
Phase IV: Communicate the Results
40(1)
Step 11: Prepare and Present the Final Report
41(1)
Develop a Research Proposal
41(1)
Marketing Research in Action
42(1)
What Does a Research Proposal Look Like?
42(2)
Summary
44(1)
Key Terms and Concepts
45(1)
Review Questions
45(1)
Discussion Questions
46(1)
Part 2: Designing the Marketing Research Project 47(86)
3 Secondary Data, Literature Reviews, and Hypotheses
48(26)
Will Brick-and-Mortar Stores Eventually Turn into Product Showrooms?
49(1)
Value of Secondary Data and Literature Reviews
50(1)
Nature, Scope, and Role of Secondary Data
50(1)
Conducting a Literature Review
51(3)
Evaluating Secondary Data Sources
51(2)
Secondary Data and the Marketing Research Process
53(1)
Internal and External Sources of Secondary Data
54(9)
Internal Sources of Secondary Data
54(1)
External Sources of Secondary Data
54(8)
Continuing Case Study: The Santa Fe Grill Mexican Restaurant Using Secondary Data
58(4)
Marketing Research Dashboard: Triangulating Secondary Data Sources
62(1)
Synthesizing Secondary Research for the Literature Review
62(1)
Developing a Conceptual Model
63(4)
Variables, Constructs, and Relationships
63(1)
Developing Hypotheses and Drawing Conceptual Models
64(13)
Continuing Case Study: The Santa Fe Grill Mexican Restaurant Developing Research Questions And Hypotheses
67(1)
Hypothesis Testing
67(2)
Marketing Research in Action
69(1)
The Santa Fe Grill Mexican Restaurant
69(1)
Summary
70(1)
Key Terms and Concepts
71(1)
Review Questions
71(1)
Discussion Questions
71(3)
4 Exploratory and Observational Research Designs and Data Collection Approaches
74(32)
Customer Territoriality in "Third Places"
75(1)
Value of Qualitative Research
76(1)
Overview of Research Designs
77(1)
Overview of Qualitative and Quantitative Research Methods
77(4)
Quantitative Research Methods
77(1)
Qualitative Research Methods
78(3)
Qualitative Data Collection Methods
81(10)
In-Depth Interviews
81(1)
Focus Group Interviews
82(3)
Phase 1: Planning the Focus Group Study
85(2)
Phase 2: Conducting the Focus Group Discussions
87(2)
Phase 3: Analyzing and Reporting the Results
89(1)
Advantages of Focus Group Interviews
89(1)
Purposed Communities/Private Community
89(2)
Other Qualitative Data Collection Methods
91(2)
Ethnography
91(1)
Case Study
91(1)
Projective Techniques
92(1)
Continuing Case: The Santa Fe Grill
92(1)
Observation Methods
93(7)
Unique Characteristics of Observation Methods
94(1)
Types of Observation Methods
94(2)
Selecting the Observation Method
96(1)
Benefits and Limitations of Observation Methods
97(1)
Social Media Monitoring and the Listening Platform
97(2)
Netnography
99(1)
Marketing Research in Action
100(1)
Reaching Hispanics through Qualitative Research
100(2)
Summary
102(1)
Key Terms and Concepts
103(1)
Review Questions
104(1)
Discussion Questions
104(2)
5 Descriptive and Causal Research Designs
106(27)
Magnum Hotel's Loyalty Program
107(1)
Value of Descriptive and Causal Survey Research Designs
108(1)
Descriptive Research Designs and Surveys
108(1)
Types of Errors in Surveys
109(1)
Sampling Errors
109(1)
Nonsampling Errors
110(1)
Types of Survey Methods
110(8)
Person-Administered Surveys
111(1)
Telephone-Administered Surveys
112(3)
Self-Administered Surveys
115(3)
Selecting the Appropriate Survey Method
118(4)
Situational Characteristics
118(1)
Task Characteristics
119(1)
Respondent Characteristics
120(2)
Causal Research Designs
122(6)
The Nature of Experimentation
123(1)
Validity Concerns with Experimental Research
124(2)
Marketing Research Dashboard: Retailers Use Experiments To Test Discount Strategy
125(1)
Comparing Laboratory and Field Experiments
126(1)
Test Marketing
127(1)
Marketing Research Dashboard
128(1)
Riders Fits New Database into Brand Launch
128(2)
Summary
130(1)
Key Terms and Concepts
131(1)
Review Questions
131(1)
Discussion Questions
132(1)
Part 3: Gathering and Collecting Accurate Data 133(86)
6 Sampling: Theory and Methods
134(24)
Mobile Web Interactions Explode
135(1)
Value of Sampling in Marketing Research
136(1)
Sampling as a Part of the Research Process
136(1)
The Basics of Sampling Theory
137(3)
Population
137(1)
Sampling Frame
138(1)
Factors Underlying Sampling Theory
138(1)
Tools Used to Assess the Quality of Samples
139(1)
Marketing Research In Action Continuing Case Study: The Santa Fe Grill
139(1)
Probability and Nonprobability Sampling
140(8)
Probability Sampling Designs
140(6)
Marketing Research Dashboard: Selecting A Systematic Random Sample For The Santa Fe Grill
142(3)
Marketing Research Dashboard: Which Is Better-Proportionately Or Disproportionately Stratified Samples?
145(1)
Nonprobability Sampling Designs
146(2)
Determining the Appropriate Sampling Design
148(1)
Determining Sample Sizes
148(4)
Probability Sample Sizes
148(2)
Continuing Case Study: The Santa Fe Grill
149(1)
Sampling from a Small Population
150(1)
Marketing Research Dashboard: Using SPSS To Select A Random Sample
150(1)
Nonprobability Sample Sizes
151(1)
Other Sample Size Determination Approaches
151(10)
Marketing Research Dashboard: Sampling And Online Surveys
151(1)
Steps in Developing a Sampling Plan
152(2)
Marketing Research in Action
154(1)
Developing a Sampling Plan for a New Menu Initiative Survey
154(1)
Summary
155(1)
Key Terms and Concepts
156(1)
Review Questions
156(1)
Discussion Questions
156(2)
7 Measurement and Scaling
158(32)
Santa Fe Grill Mexican Restaurant: Predicting Customer Loyalty
159(1)
Value of Measurement in Information Research
160(1)
Overview of the Measurement Process
160(1)
What Is a Construct?
161(2)
Construct Development
161(2)
Scale Measurement
163(4)
Marketing Research Dashboard: Understanding The Dimensions Of Bank Service Quality
163(1)
Nominal Scales
164(1)
Ordinal Scales
164(1)
Interval Scales
165(1)
Ratio Scales
166(1)
Evaluating Measurement Scales
167(2)
Scale Reliability
167(1)
Validity
168(1)
Developing Scale Measurements
169(4)
Criteria for Scale Development
169(3)
Adapting Established Scales
172(1)
Scales to Measure Attitudes and Behaviors
173(4)
Likert Scale
173(1)
Semantic Differential Scale
174(2)
Behavioral Intention Scale
176(1)
Comparative and Noncomparative Rating Scales
177(3)
Other Scale Measurement Issues
180(1)
Single-Item and Multiple-Item Scales
180(1)
Clear Wording
180(1)
Misleading Scaling Formats
181(3)
Marketing Research in Action
184(1)
What Can You Learn from a Customer Loyalty Index?
184(2)
Summary
186(1)
Key Terms and Concepts
187(1)
Review Questions
187(1)
Discussion Questions
188(2)
8 Designing the Questionnaire
190(29)
Can Surveys Be Used to Develop University Residence Life Plans?
191(1)
Value of Questionnaires in Marketing Research
192(1)
Pilot Studies and Pretests
192(1)
Questionnaire Design
193(15)
Step 1: Confirm Research Objectives
193(1)
Step 2: Select Appropriate Data Collection Method
194(1)
Step 3: Develop Questions and Scaling
194(9)
Marketing Research Dashboard: "Framing" Your Questions Can Introduce Bias!
198(5)
Step 4: Determine Layout and Evaluate Questionnaire
203(4)
Marketing Research Dashboard: Smart Questionnaires Are Revolutionizing Surveys
204(3)
Step 5: Obtain Initial Client Approval
207(1)
Step 6: Pretest, Revise, and Finalize the Questionnaire
207(1)
Step 7: Implement the Survey
207(1)
The Role of a Cover Letter
208(2)
Marketing Research Dashboard: Cover Letter Used With The American Bank Survey
209(1)
Other Considerations in Collecting Data
210(2)
Supervisor Instructions
210(1)
Interviewer Instructions
211(1)
Screening Questions
211(1)
Quotas
211(1)
Call or Contact Records
211(1)
Marketing Research in Action
212(1)
Designing a Questionnaire to Survey Santa Fe Grill Customers
212(5)
Summary
217(1)
Key Terms and Concepts
218(1)
Review Questions
218(1)
Discussion Questions
218(1)
Part 4: Data Preparation, Analysis, and Reporting the Results 219(163)
9 Qualitative Data Analysis
220(26)
Why Women are "Claiming the Throttle"
221(1)
Nature of Qualitative Data Analysis
222(1)
Qualitative versus Quantitative Analyses
222(1)
The Process of Analyzing Qualitative Data
223(12)
Managing the Data Collection Effort
223(1)
Step 1: Data Reduction
223(7)
Step 2: Data Display
230(1)
Step 3: Conclusion Drawing/Verification
231(4)
Writing the Report
235(4)
Analysis of the Data/Findings
236(1)
Conclusions and Recommendations
237(14)
Continuing Case: Santa Fe Grill: Using Qualitative Research
238(1)
Marketing Research in Action
239(1)
A Qualitative Approach to Understanding Product Dissatisfaction
239(1)
Summary
240(1)
Key Terms and Concepts
241(1)
Review Questions
242(1)
Discussion Questions
242(1)
Appendix A
243(1)
Advertising's Second Audience: Employee Reactions to Organizational Communications
243(3)
10 Preparing Data for Quantitative Analysis
246(26)
Scanner Data Improves Understanding of Purchase Behavior
247(1)
Value of Preparing Data for Analysis
248(1)
Validation
249(2)
Editing and Coding
251(8)
Asking the Proper Questions
251(1)
Accurate Recording of Answers
251(1)
Correct Screening Questions
252(3)
Responses to Open-Ended Questions
255(1)
The Coding Process
256(3)
Marketing Research Dashboard: Dealing With Data From Data Warehouses
258(1)
Data Entry
259(2)
Error Detection
259(1)
Missing Data
259(2)
Organizing Data
261(1)
Data Tabulation
261(6)
One-Way Tabulation
261(3)
Descriptive Statistics
264(1)
Graphical Illustration of Data
264(3)
Marketing Research in Action
267(1)
Deli Depot
267(3)
Summary
270(1)
Key Terms and Concepts
271(1)
Review Questions
271(1)
Discussion Questions
271(1)
11 Basic Data Analysis for Quantitative Research
272(44)
Data Analysis Facilitates Smarter Decisions
273(1)
Value of Statistical Analysis
274(7)
Measures of Central Tendency
274(2)
Marketing Research Dashboard: Splitting The Database Into Santa Fe's And Jose's Customers
276(1)
SPSS Applications-Measures of Central Tendency
276(1)
Measures of Dispersion
277(1)
SPSS Applications-Measures of Dispersion
278(3)
Preparation of Charts
281(1)
How to Develop Hypotheses
281(2)
Marketing Research Dashboard: Steps In Hypothesis Development And Testing
282(1)
Analyzing Relationships of Sample Data
283(17)
Sample Statistics and Population Parameters
283(1)
Choosing the Appropriate Statistical Technique
283(3)
Univariate Statistical Tests
286(1)
SPSS Application-Univariate Hypothesis Test
287(1)
Bivariate Statistical Tests
287(1)
Cross-Tabulation
288(2)
Marketing Research Dashboard: Selecting The Santa Fe Grill Customers For Analysis
288(2)
Chi-Square Analysis
290(1)
Calculating the Chi-Square Value
291(1)
SPSS Application-Chi-Square
292(1)
Comparing Means: Independent Versus Related Samples
293(1)
Using the t-Test to Compare Two Means
294(1)
SPSS Application-Independent Samples t-Test
295(1)
SPSS Application-Paired Samples t-Test
296(1)
Analysis of Variance (ANOVA)
297(1)
SPSS Application-ANOVA
298(2)
n-Way ANOVA
300(6)
SPSS Application-n-Way ANOVA
301(3)
Perceptual Mapping
304(1)
Perceptual Mapping Applications in Marketing Research
305(17)
Continuing Case Study: The Santa Fe Grill
305(1)
Marketing Research in Action
306(1)
Examining Restaurant Image Positions-Remington's Steak House
306(7)
Summary
313(1)
Key Terms and Concepts
313(1)
Review Questions
314(1)
Discussion Questions
314(2)
12 Examining Relationships in Quantitative Research
316(36)
Data Mining Helps Rebuild Procter & Gamble as a Global Powerhouse
317(1)
Examining Relationships between Variables
318(1)
Covariation and Variable Relationships
319(3)
Correlation Analysis
322(5)
Pearson Correlation Coefficient
323(1)
SPSS Application-Pearson Correlation
323(2)
Substantive Significance of the Correlation Coefficient
325(1)
Influence of Measurement Scales on Correlation Analysis
326(1)
SPSS Application-Spearman Rank Order Correlation
326(1)
What Is Regression Analysis?
327(12)
Fundamentals of Regression Analysis
328(2)
Developing and Estimating the Regression Coefficients
330(1)
SPSS Application-Bivariate Regression
330(2)
Significance
332(1)
Multiple Regression Analysis
333(1)
Statistical Significance
334(1)
Substantive Significance
334(1)
Multiple Regression Assumptions
335(1)
SPSS Application-Multiple Regression
335(4)
What Is Structural Modeling?
339(6)
An Example of Structural Modeling
341(4)
Marketing Research in Action
345(1)
The Role of Employees in Developing a Customer Satisfaction Program
345(3)
Summary
348(1)
Key Terms and Concepts
349(1)
Review Questions
349(1)
Discussion Questions
349(3)
13 Communicating Marketing Research Findings
352(30)
It Takes More than Numbers to Communicate
353(1)
Value of Communicating Research Findings
354(1)
Marketing Research Reports
354(3)
Marketing Research Dashboard: Critical Thinking And Marketing Research
357(1)
Format of the Marketing Research Report
357(17)
Title Page
358(1)
Table of Contents
358(1)
Executive Summary
358(1)
Introduction
359(1)
Research Methods and Procedures
360(1)
Data Analysis and Findings
361(11)
Conclusions and Recommendations
372(2)
Limitations
374(1)
Appendixes
374(1)
Common Problems in Preparing the Marketing Research Report
374(1)
The Critical Nature of Presentations
375(2)
Guidelines for Preparing Oral Presentations
375(1)
Guidelines for Preparing the Visual Presentation
376(1)
Marketing Research in Action
377(1)
Who Are the Early Adopters of Technology?
377(3)
Summary
380(1)
Key Terms and Concepts
381(1)
Review Questions
381(1)
Discussion Questions
381(1)
Glossary 382(18)
Endnotes 400(4)
Name Index 404(2)
Subject Index 406
Joe F. Hair is Professor of Marketing, Cleverdon Chair of Business, and Director of the PhD degree program in the Mitchell College of Business, at the University of South Alabama. In 2018 and 2019 he was recognized by Clarivate Analytics as being in the top 1% globally of all Business and Economics professors. He was selected for the award based on citations of his research and scholarly accomplishments, which for his career exceed 230,000.  Google Scholar ranks him #1 globally in the categories of Marketing and Multivariate Data Analysis. Joe formerly held the Copeland Endowed Chair of Entrepreneurship at Louisiana State University. He has published more than 60 books, including market leaders Multivariate Data Analysis, 8th edition, Cengage Learning, U.K., 2019, which has been cited more than 130,000 times; Essentials of Marketing Research, 5th edition, McGraw Hill LLC, 2020; MKTG, 13th edition, Cengage, 2021, used at over 500 universities globally; A Primer in Partial Least Squared Structural Equation Modeling (PLS-SEM), 2nd edition, Sage, 2017, and Essentials of Business Research Methods, 4th edition, Taylor & Francis, 2020. In addition to publishing numerous referred manuscripts in academic journals such as Journal of Marketing Research, Journal of Academy of Marketing Science, Journal of Business/Chicago, Journal of Advertising Research, and Journal of Retailing, he has presented executive education and management training programs for numerous companies, has been retained as consultant and expert witness for a wide variety of firms, and is frequently an invited speaker on research methods and multivariate analysis. He is a Distinguished Fellow of the Academy of Marketing Science, the Society for Marketing Advances, and has served as president of the Academy of Marketing Sciences, the Society for Marketing Advances, the Southern Marketing Association, the Association for Healthcare Research, the Southwestern Marketing Association, and the American Institute for Decision Sciences, Southeast Section. Professor Hair was recognized by the Academy of Marketing Science with its Outstanding Marketing Teaching Excellence Award, and the Louisiana State University Entrepreneurship Institute under his leadership was recognized nationally by Entrepreneur Magazine as one of the top 12 programs in the United States. 





Mary W. Celsi is a Professor of Marketing at California State University, Long Beach. She has published research in several top journals, including Journal of Marketing, Journal of Consumer Research, Journal of Retailing, California Management Review, and Journal of the Academy of Marketing Science. She has expertise in qualitative and quantitative research methods. Her publications span a wide range of interests, from internal marketing to digital marketing and consumer culture theory. Her research has been cited more than 5,000 times in scholarly publications.





Earned a B.A. in Psychology and Economic history from St. Marys University and an M.A. and Ph.D. in Marketing at Louisiana State University. He began his teaching career at the University of South Florida, moved first to the University of Mississippi, and then to The University of Memphis, where he has taught since 1993. He was chairman of the committee on Grants and Research for the Fogleman College of Business from 1991-1997 and Director of the Ph.D. Program at Memphis from 1995-1997. He has been a consultant for a wide range of corporations and institutes, as well as for the U.S. Department of Defense. He is the coauthor of Retailing for the 21st Century (Houghton-Mifflin, 1993) and a coeditor of Advances in Marketing (LSU Press, 1994). He is a regular contributor to such academic publications as Journal of Advertising, Journal of Consumer Marketing, Journal of Marketing Education, Journal of Direct Marketing, Journal of Health Care Marketing, and Marketing Education Review.





Earned a B.S. in Management from Southern Illinois UniversityCarbondale, an M.A. in Business Administration from Illinois State University, and a Ph.D. in Marketing from Louisiana State University. He began his teaching career at the University of South Florida, where he continues to win awards both for outstanding research and for outstanding teaching. He has a wide range of research interestsfrom attitude formation and perceptual differences in services marketing to interactive electronic marketing technologies and their impact on information research problems. He consults for a variety of corporations and small businesses, with specialties in customer satisfaction, customer service quality, customer service value, retail loyalty, and image. He continues to serve as a member of the editorial review board for Journal of Academy of Marketing Science and was coeditor of Marketing: Moving Toward the 21st Century (SMA Press, 1996).