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Marketing Research

Marketing Research

Naresh K. Malhotra

(2015)

Additional Information

Book Details

Abstract

This is a Pearson Global Edition.  The Pearson Editorial team worked closely with educators around the world to include content especially relevant to students outside of the United States.

 

For undergraduate and graduate marketing research courses.

Marketing Research: An Applied Orientation allows students to actually experience the interaction between marketing research and marketing decision-making.

Marketing Research: An Applied Orientation takes a unique applied and managerial orientation that illustrates the interaction between marketing research decisions and marketing management decisions. This text is comprehensive, practical, and presents balanced coverage of both qualitative and quantitative material.

The sixth edition is even more current, contemporary, illustrative, and sensitive to user needs.


Table of Contents

Section Title Page Action Price
Cover Cover
Dedication 5
Brief Contents 7
Contents 9
Foreword 21
Preface 23
Acknowledgments 29
Author Biography 32
Part I: Introduction and Early Phases of Marketing Research 33
Chapter 1: Introduction to Marketing Research 34
Objectives 34
Overview 35
Definition of Marketing Research 39
A Classification of Marketing Research 39
The Marketing Research Process 41
Step 1: Problem Definition 41
Step 2: Development of an Approach to the Problem 41
Step 3: Research Design Formulation 42
Step 4: Fieldwork or Data Collection 42
Step 5: Data Preparation and Analysis 42
Step 6: Report Preparation and Presentation 42
The Role of Marketing Research in Marketing Decision Making 43
Marketing Research and Competitive Intelligence 45
The Decision to Conduct Marketing Research 46
The Marketing Research Industry 46
Selecting a Research Supplier 50
Careers in Marketing Research 51
The Role of Marketing Research in MIS and DSS 53
The Department Store Patronage Project 54
International Marketing Research 55
Ethics in Marketing Research 57
SPSS Windows and SAS 59
Summary 60
Key Terms and Concepts 61
Suggested Cases, Video Cases, and HBS Cases 61
Live Research: Conducting a Marketing Research Project 61
Acronym 61
Exercises 62
Internet and Computer Exercises 62
Activities 62
Dell Running Case 62
Video Case 1.1 Burke: Learning and Growing Through Marketing Research 63
Chapter 2: Defining the Marketing Research Problem and Developing an Approach 66
Objectives 66
Overview 67
Importance of Defining the Problem 68
The Process of Defining the Problem and Developing an Approach 69
Tasks Involved 69
Discussions with Decision Makers 69
Interviews with Industry Experts 72
Secondary Data Analysis 73
Qualitative Research 73
Environmental Context of the Problem 74
Past Information and Forecasts 75
Resources and Constraints 76
Objectives 76
Buyer Behavior 77
Legal Environment 78
Economic Environment 78
Marketing and Technological Skills 78
Environmental Context and Problem Definition 78
Management Decision Problem and Marketing Research Problem 79
Defining the Marketing Research Problem 80
Components of the Approach 83
Objective/Theoretical Framework 83
Analytical Model 83
Research Questions 84
Hypotheses 85
Specification of Information Needed 87
International Marketing Research 87
Ethics in Marketing Research 89
SPSS Windows 91
Summary 91
Key Terms and Concepts 92
Suggested Cases, Video Cases, and HBS Cases 93
Live Research: Conducting a Marketing Research Project 94
Acronym 94
Exercises 94
Internet and Computer Exercises 95
Activities 95
Dell Running Case 95
Video Case 2.1 Accenture: The Accent Is in the Name 96
Part II: Research Design Formulation 99
Chapter 3: Research Design 100
Objectives 100
Overview 101
Research Design: Definition 102
Research Design: Classification 102
Exploratory Research 104
Descriptive Research 106
Cross-Sectional Designs 108
Longitudinal Designs 110
Relative Advantages and Disadvantages of Longitudinal and Cross-Sectional Designs 111
Causal Research 113
Relationships Among Exploratory, Descriptive, and Causal Research 114
Potential Sources of Error 117
Random Sampling Error 117
Nonsampling Error 117
Budgeting and Scheduling the Project 119
Marketing Research Proposal 120
International Marketing Research 121
Ethics in Marketing Research 122
Summary 124
Key Terms and Concepts 124
Suggested Cases, Video Cases, and HBS Cases 125
Live Research: Conducting a Marketing Research Project 125
Acronym 125
Exercises 126
Internet and Computer Exercises 126
Activities 126
Dell Running Case 127
Video Case 3.1 National Football League: The King of Professional Sports 128
Chapter 4: Exploratory Research Design: Secondary Data 130
Objectives 130
Overview 131
Primary Versus Secondary Data 132
Advantages and Uses of Secondary Data 133
Disadvantages of Secondary Data 133
Criteria for Evaluating Secondary Data 133
Specifications: Methodology Used to Collect the Data 133
Error: Accuracy of the Data 135
Currency: When the Data Were Collected 135
Objective: The Purpose for Which the Data Were Collected 135
Nature: The Content of the Data 136
Dependability: How Dependable Are the Data? 136
Classification of Secondary Data 137
Internal Secondary Data 138
Database Marketing 138
Published External Secondary Sources 140
General Business Data 140
Government Sources 142
Computerized Databases 143
Classification of Computerized Databases 143
Directories of Databases 145
Syndicated Sources of Secondary Data 145
Syndicated Data from Households 145
Surveys 145
Purchase and Media Panels 150
Electronic Scanner Services 153
Syndicated Data from Institutions 154
Retailer and Wholesaler Audits 154
Industry Services 156
Combining Information from Different Sources: Single-Source Data 156
Computer Mapping 157
Buying Power Index 158
International Marketing Research 158
Ethics in Marketing Research 160
SPSS Windows 162
Summary 162
Key Terms and Concepts 163
Suggested Cases, Video Cases, and HBS Cases 163
Live Research: Conducting a Marketing Research Project 164
Acronym 164
Exercises 164
Internet and Computer Exercises 165
Activities 165
Dell Running Case 165
Video Case 4.1 The Mayo Clinic: Staying Healthy with Marketing Research 166
Chapter 5 Exploratory Research Design: Qualitative Research 168
Objectives 168
Overview 169
Primary Data: Qualitative Versus Quantitative Research 170
Rationale for Using Qualitative Research 172
A Classification of Qualitative Research Procedures 172
Focus Group Interviews 173
Characteristics 174
Planning and Conducting Focus Groups 175
Other Variations in Focus Groups 180
Advantages of Focus Groups 181
Disadvantages of Focus Groups 181
Applications of Focus Groups 182
Online Focus Group Interviews 182
Advantages of Online Focus Groups 183
Disadvantages of Online Focus Groups 183
Uses of Online Focus Groups 184
Depth Interviews 185
Characteristics 185
Techniques 186
Advantages and Disadvantages of Depth Interviews 188
Applications of Depth Interviews 188
Projective Techniques 189
Association Techniques 190
Completion Techniques 191
Construction Techniques 192
Expressive Techniques 193
Advantages and Disadvantages of Projective Techniques 194
Applications of Projective Techniques 195
Analysis of Qualitative Data 196
Software Packages 197
International Marketing Research 198
Ethics in Marketing Research 199
Summary 202
Key Terms and Concepts 202
Suggested Cases, Video Cases, and HBS Cases 203
Live Research: Conducting a Marketing Research Project 203
Acronyms 203
Exercises 204
Internet and Computer Exercises 204
Activities 204
Dell Running Case 205
Video Case 5.1 Nike: Associating Athletes, Performance, and the Brand 206
Chapter 6: Descriptive Research Design: Survey and Observation 208
Objectives 208
Overview 209
Survey Methods 211
Survey Methods Classified by Mode of Administration 212
Telephone Methods 212
Traditional Telephone Interviews 212
Computer-Assisted Telephone Interviewing 212
Personal Methods 214
Personal In-Home Interviews 214
Mall-Intercept Personal Interviews 215
Computer-Assisted Personal Interviewing (CAPI) 216
Mail Methods 217
Mail Interviews 217
Mail Panels 218
Electronic Methods 218
E-Mail Interviews 218
Internet Interviews 219
A Comparative Evaluation of Survey Methods 221
Task Factors 221
Situational Factors 226
Respondent Factors 227
Some Other Survey Methods 228
Selection of Survey Methods 229
Observation Methods 230
Structured Versus Unstructured Observation 230
Disguised Versus Undisguised Observation 230
Natural Versus Contrived Observation 230
Observation Methods Classified by Mode of Administration 230
Personal Observation 231
Mechanical Observation 231
Audit 233
Content Analysis 233
Trace Analysis 235
A Comparative Evaluation of Observation Methods 236
A Comparison of Survey and Observation Methods 237
Relative Advantages of Observation 237
Relative Disadvantages of Observation 237
Ethnographic Research 238
Other Methods 238
International Marketing Research 238
Selection of Survey Methods 240
Ethics in Marketing Research 241
Summary 242
Key Terms and Concepts 243
Suggested Cases, Video Cases, and HBS Cases 244
Live Research: Conducting a Marketing Research Project 244
Acronyms 244
Exercises 244
Internet and Computer Exercises 245
Activities 245
Dell Running Case 245
Video Case 6.1 Starbucks: Staying Local While Going Global Through Marketing Research 246
Chapter 7: Causal Research Design: Experimentation 248
Objectives 248
Overview 249
Concept of Causality 250
Conditions for Causality 250
Concomitant Variation 251
Time Order of Occurrence of Variables 252
Absence of Other Possible Causal Factors 252
Role of Evidence 252
Definitions and Concepts 253
Definition of Symbols 254
Validity in Experimentation 254
Internal Validity 254
External Validity 255
Extraneous Variables 255
History 255
Maturation 255
Testing Effects 256
Instrumentation 256
Statistical Regression 256
Selection Bias 256
Mortality 257
Controlling Extraneous Variables 257
Randomization 257
Matching 257
Statistical Control 257
Design Control 258
A Classification of Experimental Designs 258
Preexperimental Designs 259
One-Shot Case Study 259
One-Group Pretest-Posttest Design 259
Static Group Design 260
True Experimental Designs 260
Pretest-Posttest Control Group Design 260
Posttest-Only Control Group Design 261
Quasi-Experimental Designs 262
Time Series Design 262
Multiple Time Series Design 263
Statistical Designs 263
Randomized Block Design 265
Latin Square Design 265
Factorial Design 266
Laboratory Versus Field Experiments 267
Experimental Versus Nonexperimental Designs 268
Limitations of Experimentation 269
Time 269
Cost 269
Administration 269
Application: Test Marketing 269
Standard Test Market 269
Controlled Test Market 271
Simulated Test Market 271
Electronic, Virtual, and Web-Enabled Test Markets 271
International Marketing Research 272
Ethics in Marketing Research 272
Summary 274
Key Terms and Concepts 275
Suggested Cases, Video Cases, and HBS Cases 275
Live Research: Conducting a Marketing Research Project 276
Acronym 276
Exercises 276
Internet and Computer Exercises 277
Activities 277
Dell Running Case 277
Video Case 7.1 AFLAC: Marketing Research Quacks Like a Duck 278
Chapter 8: Measurement and Scaling: Fundamentals and Comparative Scaling 280
Objectives 280
Overview 281
Measurement and Scaling 282
Scale Characteristics and Levels of Measurement 282
Description 283
Order 283
Distance 283
Origin 283
Primary Scales of Measurement 284
Nominal Scale 284
Ordinal Scale 286
Interval Scale 286
Ratio Scale 288
A Comparison of Scaling Techniques 289
Comparative Scaling Techniques 289
Paired Comparison Scaling 289
Rank Order Scaling 291
Constant Sum Scaling 292
Q-Sort and Other Procedures 294
International Marketing Research 294
Ethics in Marketing Research 295
SPSS Windows 297
Summary 298
Key Terms and Concepts 299
Suggested Cases, Video Cases, and HBS Cases 299
Live Research: Conducting a Marketing Research Project 299
Acronyms 299
Exercises 300
Internet and Computer Exercises 300
Activities 300
Dell Running Case 301
Video Case 8.1 Procter & Gamble: Using Marketing Research to Build Brands 302
Chapter 9: Measurement and Scaling: Noncomparative Scaling Techniques 304
Objectives 304
Overview 305
Noncomparative Scaling Techniques 305
Continuous Rating Scale 306
Itemized Rating Scales 308
Likert Scale 308
Semantic Differential Scale 310
Stapel Scale 311
Noncomparative Itemized Rating Scale Decisions 312
Number of Scale Categories 312
Balanced Versus Unbalanced Scales 312
Odd or Even Number of Categories 313
Forced Versus Nonforced Scales 313
Nature and Degree of Verbal Description 313
Physical Form or Configuration 313
Multi-Item Scales 316
Scale Evaluation 317
Measurement Accuracy 318
Reliability 318
Validity 320
Relationship Between Reliability and Validity 321
Generalizability 321
Choosing a Scaling Technique 322
Mathematically Derived Scales 322
International Marketing Research 322
Ethics in Marketing Research 323
SPSS Windows 325
Summary 326
Key Terms and Concepts 327
Suggested Cases, Video Cases, and HBS Cases 327
Live Research: Conducting a Marketing Research Project 327
Acronym 328
Exercises 328
Internet and Computer Exercises 328
Activities 329
Dell Running Case 329
Video Case 9.1 eGO: Reinventing Wheels 330
Chapter 10: Questionnaire and Form Design 332
Objectives 332
Overview 333
Questionnaires and Observation Forms 334
Questionnaire Definition 335
Objectives of a Questionnaire 335
Questionnaire Design Process 335
Specify the Information Needed 336
Type of Interviewing Method 337
Individual Question Content 338
Is the Question Necessary? 338
Are Several Questions Needed Instead of One? 339
Overcoming Inability to Answer 339
Is the Respondent Informed? 340
Can the Respondent Remember? 340
Can the Respondent Articulate? 341
Overcoming Unwillingness to Answer 341
Effort Required of the Respondents 341
Context 342
Legitimate Purpose 342
Sensitive Information 342
Increasing the Willingness of Respondents 342
Choosing Question Structure 343
Unstructured Questions 343
Structured Questions 344
Choosing Question Wording 346
Define the Issue 346
Use Ordinary Words 347
Use Unambiguous Words 347
Avoid Leading or Biasing Questions 348
Avoid Implicit Alternatives 348
Avoid Implicit Assumptions 348
Avoid Generalizations and Estimates 349
Dual Statements: Positive and Negative 349
Determining the Order of Questions 349
Opening Questions 349
Type of Information 350
Difficult Questions 350
Effect on Subsequent Questions 350
Logical Order 351
Form and Layout 352
Reproduction of the Questionnaire 353
Pretesting 354
Computer and Internet Questionnaire Construction 356
Observational Forms 358
International Marketing Research 358
Ethics in Marketing Research 359
SPSS Windows 361
Summary 361
Key Terms and Concepts 362
Suggested Cases, Video Cases, and HBS Cases 362
Live Research: Conducting a Marketing Research Project 363
Acronyms 363
Exercises 363
Internet and Computer Exercises 365
Activities 365
Dell Running Case 365
Video Case 10.1 Dunkin’ Donuts: Dunking the Competition 366
Chapter 11: Sampling: Design and Procedures 368
Objectives 368
Overview 369
Sample or Census 370
The Sampling Design Process 372
Define the Target Population 372
Determine the Sampling Frame 373
Select a Sampling Technique 373
Determine the Sample Size 374
Execute the Sampling Process 375
A Classification of Sampling Techniques 376
Nonprobability Sampling Techniques 377
Convenience Sampling 377
Judgmental Sampling 379
Quota Sampling 380
Snowball Sampling 381
Probability Sampling Techniques 382
Simple Random Sampling 382
Systematic Sampling 383
Stratified Sampling 384
Cluster Sampling 385
Other Probability Sampling Techniques 387
Choosing Nonprobability Versus Probability Sampling 390
Uses of Nonprobability and Probability Sampling 391
Internet Sampling 391
Issues in Online Sampling 391
Online Sampling Techniques 392
International Marketing Research 393
Ethics in Marketing Research 394
Summary 396
Key Terms and Concepts 397
Suggested Cases, Video Cases, and HBS Cases 397
Live Research: Conducting a Marketing Research Project 397
Acronym 397
Exercises 398
Internet and Computer Exercises 398
Activities 398
Dell Running Case 399
Video Case 11.1 Motorola: Projecting the Moto Lifestyle 400
Chapter 12: Sampling: Final and Initial Sample Size Determination Objectives 402
Objectives 402
Overview 403
Definitions and Symbols 404
The Sampling Distribution 405
Statistical Approach to Determining Sample Size 407
The Confidence Interval Approach 407
Sample Size Determination: Means 408
Sample Size Determination: Proportions 410
Multiple Characteristics and Parameters 413
Other Probability Sampling Techniques 414
Adjusting the Statistically Determined Sample Size 414
Calculation of Response Rates 415
Nonresponse Issues in Sampling 416
Improving the Response Rates 416
Adjusting for Nonresponse 419
International Marketing Research 421
Ethics in Marketing Research 422
SPSS Windows 423
Summary 423
Key Terms and Concepts 424
Suggested Cases, Video Cases, and HBS Cases 424
Live Research: Conducting a Marketing Research Project 425
Acronym 425
Exercises 425
Internet and Computer Exercises 426
Activities 426
Appendix 12A 426
Dell Running Case 428
Video Case 12.1 Subaru: “Mr. Survey” Monitors Customer Satisfaction 429
Part III: Data Collection, Preparation, Analysis, and Reporting 431
Chapter 13 Fieldwork 432
Objectives 432
Overview 433
The Nature of Fieldwork 434
Fieldwork/Data-Collection Process 434
Selection of Fieldworkers 434
Training of Fieldworkers 436
Making the Initial Contact 436
Asking the Questions 436
Probing 436
Recording the Answers 437
Terminating the Interview 437
Supervision of Fieldworkers 439
Quality Control and Editing 439
Sampling Control 439
Control of Cheating 439
Central Office Control 439
Validation of Fieldwork 439
Evaluation of Fieldworkers 439
Cost and Time 440
Response Rates 440
Quality of Interviewing 440
Quality of Data 440
International Marketing Research 441
Ethics in Marketing Research 442
SPSS Windows 444
Summary 444
Key Terms and Concepts 445
Suggested Cases, Video Cases, and HBS Cases 446
Live Research: Conducting a Marketing Research Project 446
Acronyms 446
Exercises 446
Internet and Computer Exercises 447
Activities 447
Dell Running Case 447
Video Case 13.1 Intel: Building Blocks Inside Out 448
Chapter 14: Data Preparation 450
Objectives 450
Overview 451
The Data-Preparation Process 452
Questionnaire Checking 452
Editing 453
Treatment of Unsatisfactory Responses 454
Coding 454
Coding Questions 454
Developing a Data File 456
Transcribing 459
Data Cleaning 461
Consistency Checks 461
Treatment of Missing Responses 461
Statistically Adjusting the Data 462
Weighting 462
Variable Respecification 463
Scale Transformation 464
Selecting a Data Analysis Strategy 465
A Classification of Statistical Techniques 466
International Marketing Research 468
Ethics in Marketing Research 468
Statistical Software 471
SPSS and SAS Computerized Demonstration Movies 471
SPSS and SAS Screen Captures with Notes 471
SPSS Windows 471
Creating a Variable Called Overall Evaluation 471
Recoding to Create New Variable Called Recoded Income 472
SAS Learning Edition 473
Creating a Variable Called Overall Evaluation 473
Recoding to Create New Variable Called Recoded 473
Summary 475
Key Terms and Concepts 476
Suggested Cases, Video Cases, and HBS Cases 477
Live Research: Conducting a Marketing Research Project 477
Acronym 477
Exercises 477
Internet and Computer Exercises 478
Activities 478
Dell Running Case 479
Chapter 15: Frequency Distribution, Cross-Tabulation, and Hypothesis Testing 480
Objectives 480
Overview 481
Frequency Distribution 484
Statistics Associated with Frequency Distribution 486
Measures of Location 486
Measures of Variability 487
Measures of Shape 488
Introduction to Hypothesis Testing 489
A General Procedure for Hypothesis Testing 489
Step 1: Formulate the Hypotheses 489
Step 2: Select an Appropriate Test 491
Step 3: Choose Level of Significance, α 491
Step 4: Collect Data and Calculate Test Statistic 492
Step 5: Determine the Probability (or Critical Value) 492
Steps 6 and 7: Compare the Probability (or Critical Value) and Make the Decision 492
Step 8: Marketing Research Conclusion 493
Cross-Tabulations 493
Two Variables 494
Three Variables 495
General Comments on Cross-Tabulation 498
Statistics Associated with Cross-Tabulation 498
Chi-Square 499
Phi Coefficient 500
Contingency Coefficient 501
Cramer’s V 501
Lambda Coefficient 501
Other Statistics 502
Cross-Tabulation in Practice 502
Hypothesis Testing Related to Differences 503
Parametric Tests 504
One Sample 504
Two Independent Samples 505
Paired Samples 508
Nonparametric Tests 509
One Sample 510
Two Independent Samples 510
Paired Samples 512
Statistical Software 515
SPSS and SAS Computerized Demonstration Movies 516
SPSS and SAS Screen Captures with Notes 516
SPSS Windows 516
SAS Learning Edition 518
Summary 520
Key Terms and Concepts 522
Suggested Cases, Video Cases, and HBS Cases 523
Live Research: Conducting a Marketing Research Project 523
Acronyms 524
Exercises 524
Internet and Computer Exercises 525
Activities 526
Dell Running Case 527
Chapter 16: Analysis of Variance and Covariance 528
Objectives 528
Overview 529
Relationship Among Techniques 531
One-Way Analysis of Variance 532
Statistics Associated with One-Way Analysis of Variance 533
Conducting One-Way Analysis of Variance 533
Identify the Dependent and Independent Variables 533
Decompose the Total Variation 533
Measure the Effects 535
Test the Significance 535
Interpret the Results 536
Illustrative Data 536
Illustrative Applications of One-Way Analysis of Variance 537
Assumptions in Analysis of Variance 540
N-Way Analysis of Variance 540
Illustrative Application of N-Way Analysis of Variance 542
Analysis of Covariance 545
Issues in Interpretation 545
Interactions 545
Relative Importance of Factors 547
Multiple Comparisons 548
Repeated Measures ANOVA 548
Nonmetric Analysis of Variance 550
Multivariate Analysis of Variance 551
Statistical Software 552
SPSS and SAS Computerized Demonstration Movies 552
SPSS and SAS Screen Captures with Notes 552
SPSS Windows 553
SAS Learning Edition 553
Summary 555
Key Terms and Concepts 556
Suggested Cases, Video Cases, and HBS Cases 556
Live Research: Conducting a Marketing Research Project 556
Acronyms 556
Exercises 557
Internet and Computer Exercises 558
Activities 558
Dell Running Case 559
Chapter 17: Correlation and Regression 560
Objectives 560
Overview 561
Product Moment Correlation 562
Partial Correlation 566
Nonmetric Correlation 568
Regression Analysis 568
Bivariate Regression 568
Statistics Associated with Bivariate Regression Analysis 569
Conducting Bivariate Regression Analysis 569
Plot the Scatter Diagram 569
Formulate the Bivariate Regression Model 571
Estimate the Parameters 572
Estimate Standardized Regression Coefficient 573
Test for Significance 573
Determine the Strength and Significance of Association 574
Check Prediction Accuracy 576
Assumptions 577
Multiple Regression 577
Statistics Associated with Multiple Regression 578
Conducting Multiple Regression Analysis 579
Partial Regression Coefficients 579
Strength of Association 580
Significance Testing 581
Examination of Residuals 582
Stepwise Regression 585
Multicollinearity 586
Relative Importance of Predictors 587
Cross-Validation 588
Regression with Dummy Variables 589
Analysis of Variance and Covariance with Regression 589
Statistical Software 591
SPSS and SAS Computerized Demonstration Movies 592
SPSS and SAS Screen Captures with Notes 592
SPSS Windows 592
SAS Learning Edition 593
Summary 594
Key Terms and Concepts 596
Suggested Cases, Video Cases, and HBS Cases 596
Live Research: Conducting a Marketing Research Project 597
Acronym 597
Exercises 597
Internet and Computer Exercises 598
Activities 599
Dell Running Case 599
Chapter 18: Discriminant and Logit Analysis 600
Objectives 600
Overview 601
Basic Concept of Discriminant Analysis 602
Relationship of Discriminant and Logit Analysis to ANOVA and Regression 603
Discriminant Analysis Model 603
Statistics Associated with Discriminant Analysis 604
Conducting Discriminant Analysis 605
Formulate the Problem 605
Estimate the Discriminant Function Coefficients 607
Determine the Significance of the Discriminant Function 609
Interpret the Results 610
Assess Validity of Discriminant Analysis 612
Multiple Discriminant Analysis 613
Formulate the Problem 613
Estimate the Discriminant Function Coefficients 614
Determine the Significance of the Discriminant Function 614
Interpret the Results 614
Assess Validity of Discriminant Analysis 617
Stepwise Discriminant Analysis 620
The Logit Model 620
Conducting Binary Logit Analysis 620
Formulate the Problem 621
Estimating the Binary Logit Model 621
Model Fit 622
Significance Testing 622
Interpretation of the Coefficients and Validation 622
An Illustrative Application of Logistic Regression 623
Statistical Software 626
SPSS and SAS Computerized Demonstration Movies 626
SPSS and SAS Screen Captures with Notes 627
SPSS Windows 627
SAS Learning Edition 627
Summary 629
Key Terms and Concepts 630
Suggested Cases, Video Cases, and HBS Cases 631
Live Research: Conducting a Marketing Research Project 631
Acronym 631
Exercises 631
Internet and Computer Exercises 632
Activities 632
Dell Running Case 633
Chapter 19: Factor Analysis 634
Objectives 634
Overview 635
Basic Concept 636
Factor Analysis Model 637
Statistics Associated with Factor Analysis 638
Conducting Factor Analysis 638
Formulate the Problem 639
Construct the Correlation Matrix 640
Determine the Method of Factor Analysis 643
Determine the Number of Factors 643
Rotate Factors 644
Interpret Factors 645
Calculate Factor Scores 646
Select Surrogate Variables 646
Determine the Model Fit 647
Applications of Common Factor Analysis 649
Statistical Software 654
SPSS and SAS Computerized Demonstration Movies 654
SPSS and SAS Screen Captures with Notes 654
SPSS Windows 655
SAS Learning Edition 655
Summary 656
Key Terms and Concepts 657
Suggested Cases, Video Cases, and HBS Cases 657
Live Research: Conducting a Marketing Research Project 657
Acronym 658
Exercises 658
Internet and Computer Exercises 658
Activities 659
Dell Running Case 659
Chapter 20: Cluster Analysis 660
Objectives 660
Overview 661
Basic Concept 662
Statistics Associated with Cluster Analysis 663
Conducting Cluster Analysis 664
Formulate the Problem 664
Select a Distance or Similarity Measure 665
Select a Clustering Procedure 666
Decide on the Number of Clusters 670
Interpret and Profile the Clusters 672
Assess Reliability and Validity 673
Applications of Nonhierarchical Clustering 674
Applications of TwoStep Clustering 676
Clustering Variables 679
Statistical Software 681
SPSS and SAS Computerized Demonstration Movies 681
SPSS and SAS Screen Captures with Notes 681
SPSS Windows 681
SAS Learning Edition 682
Summary 683
Key Terms and Concepts 684
Suggested Cases, Video Cases, and HBS Cases 685
Live Research: Conducting a Marketing Research Project 685
Acronym 685
Exercises 685
Problems 686
Internet and Computer Exercises 686
Activities 686
Dell Running Case 687
Chapter 21: Multidimensional Scaling and Conjoint Analysis 688
Objectives 688
Overview 689
Basic Concepts in Multidimensional Scaling (MDS) 691
Statistics and Terms Associated with MDS 691
Conducting Multidimensional Scaling 692
Formulate the Problem 692
Obtain Input Data 692
Select an MDS Procedure 694
Decide on the Number of Dimensions 695
Label the Dimensions and Interpret the Configuration 696
Assess Reliability and Validity 697
Assumptions and Limitations of MDS 698
Scaling Preference Data 698
Correspondence Analysis 700
Relationship Among MDS, Factor Analysis, and Discriminant Analysis 701
Basic Concepts in Conjoint Analysis 701
Statistics and Terms Associated with Conjoint Analysis 702
Conducting Conjoint Analysis 702
Formulate the Problem 702
Construct the Stimuli 703
Decide on the Form of Input Data 705
Select a Conjoint Analysis Procedure 705
Interpret the Results 708
Assessing Reliability and Validity 708
Assumptions and Limitations of Conjoint Analysis 711
Hybrid Conjoint Analysis 711
Statistical Software 714
SPSS and SAS Computerized Demonstration Movies 715
SPSS and SAS Screen Captures with Notes 715
SPSS Windows 715
SAS Learning Edition 716
Summary 717
Key Terms and Concepts 718
Suggested Cases, Video Cases, and HBS Cases 719
Live Research: Conducting a Marketing Research Project 720
Acronyms 720
Exercises 720
Internet and Computer Exercises 720
Activities 721
Dell Running Case 721
Chapter 22: Structural Equation Modeling and Path Analysis 722
Objectives 722
Overview 723
Basic Concept 724
Statistics Associated with SEM 725
Foundations of SEM 726
Theory, Model, and Path Diagram 726
Exogenous Versus Endogenous Constructs 727
Dependence and Correlational Relationships 728
Model Fit 728
Model Identification 728
Conducting SEM 729
Define the Individual Constructs 729
Specify the Measurement Model 729
Sample Size Requirements 730
Assess Measurement Model Reliability and Validity 731
Assess Measurement Model Fit 731
Assess Measurement Model Reliability and Validity 733
Lack of Validity: Diagnosing Problems 735
Specify the Structural Model 735
Assess Structural Model Validity 736
Assessing Fit 737
Comparison with Competing Models 737
Testing Hypothesized Relationships 737
Structural Model Diagnostics 737
Draw Conclusions and Make Recommendations 738
Higher-Order Confirmatory Factor Analysis 738
Relationship of SEM to Other Multivariate Techniques 739
Application of SEM: First-Order Factor Model 740
Define the Individual Constructs 740
Specify the Measurement Model 740
Assess Measurement Model Reliability and Validity 741
Specify the Structural Model 742
Assess Structural Model Validity 742
Conclusions and Recommendations 742
Application of SEM: Second-Order Factor Model 742
Define the Individual Constructs 742
Specify the Measurement Model 743
Assess Measurement Model Reliability and Validity 743
Specify the Structural Model 745
Assess Structural Model Validity 746
Draw Conclusions and Make Recommendations 747
Path Analysis 748
Illustrative Example of Path Analysis 749
Statistical Software 751
LISREL 751
SPSS Windows 752
SAS Learning Edition 753
Summary 754
Key Terms and Concepts 756
Suggested Cases, Video Cases, and HBS Cases 756
Live Research: Conducting a Marketing Research Project 756
Acronym 756
Exercises 756
Internet and Computer Exercises 757
Activities 757
Dell Running Case 757
Chapter 23: Report Preparation and Presentation 758
Objectives 758
Overview 759
Importance of the Report and Presentation 760
The Report Preparation and Presentation Process 760
Report Preparation 761
Report Format 761
Title Page 762
Letter of Transmittal 763
Letter of Authorization 763
Table of Contents 763
Executive Summary 763
Problem Definition 763
Approach to the Problem 763
Research Design 763
Data Analysis 763
Results 763
Limitations and Caveats 764
Conclusions and Recommendations 764
Report Writing 764
Readers 764
Easy to Follow 765
Presentable and Professional Appearance 765
Objective 765
Reinforce Text with Tables and Graphs 765
Terse 765
Guidelines for Tables 765
Title and Number 765
Arrangement of Data Items 766
Basis of Measurement 766
Leaders, Rulings, and Spaces 766
Explanations and Comments: Headings, Stubs, and Footnotes 766
Sources of the Data 766
Guidelines for Graphs 766
Geographic and Other Maps 767
Round or Pie Charts 767
Line Charts 767
Pictographs 767
Histograms and Bar Charts 767
Schematic Figures and Flowcharts 768
Report Distribution 769
Oral Presentation 771
Reading the Research Report 772
Address the Problem 772
Research Design 772
Execution of the Research Procedures 772
Numbers and Statistics 772
Interpretation and Conclusions 773
Generalizability 773
Disclosure 773
Research Follow-Up 773
Assisting the Client 773
Evaluation of the Research Project 774
International Marketing Research 774
Ethics in Marketing Research 775
Statistical Software 776
SPSS Windows 776
SAS Enterprise Guide 777
Summary 777
Key Terms and Concepts 777
Suggested Cases, Video Cases, and HBS Cases 777
Live Research: Conducting a Marketing Research Project 779
Acronyms 779
Exercises 779
Problems 780
Internet and Computer Exercises 780
Activities 780
Dell Running Case 780
Video Case 23.1 Marriott: Marketing Research Leads to Expanded 781
Chapter 24: International Marketing Research 784
Objectives 784
Overview 785
Marketing Research Goes International 787
A Framework for International Marketing Research 788
The Environment 788
Marketing Environment 788
Government Environment 789
Legal Environment 790
Economic Environment 790
Structural Environment 790
Informational and Technological Environment 790
Sociocultural Environment 790
Survey Methods 792
Telephone Interviewing and CATI 792
In-Home Personal Interviews 793
Mall Intercept and CAPI 793
Mail Interviews 794
Mail and Scanner Panels 794
Electronic Surveys 794
Measurement and Scaling 795
Questionnaire Translation 797
Ethics in Marketing Research 799
Statistical Software 800
Summary 800
Key Terms and Concepts 801
Suggested Cases, Video Cases, and HBS Cases 801
Live Research: Conducting a Marketing Research Project 801
Acronym 801
Exercises 802
Internet and Computer Exercises 802
Activities 802
Dell Running Case 803
Video Case 24.1 Nivea: Marketing Research Leads to Consistency in Marketing 804
Running Case with Real Data 806
Case 1.1: Dell Direct 806
Comprehensive Critical Thinking Cases 812
Case 2.1: Hong Kong: Staying Ahead of the Competition in the Wealth Management Business 812
Case 2.2: Baskin-Robbins: Can It Bask in the Good ‘Ole Days? 815
Case 2.3: Kid Stuff? Determining the Best Positioning Strategy for Akron Children’s Hospital 818
Data Analysis Cases with Real Data 820
Case 3.1: AT&T Wireless: Ma Bell Becomes Ma Again 820
CASE 3.2: IBM: The World’s Top Provider of Computer Hardware, Software, and Services 825
Case 3.3: Kimberly-Clark: Competing Through Innovation 833
Comprehensive Cases with Real Data 840
Case 4.1: JPMorgan Chase: Chasing Growth Through Mergers and Acquisitions 840
Case 4.2: Wendy’s: History and Life After Dave Thomas 846
Comprehensive Harvard Business School Cases 853
Case 5.1: The Harvard Graduate Student Housing Survey (9-505-059) 853
Case 5.2: BizRate.Com (9-501-024) 853
Case 5.3: Cola Wars Continue: Coke and Pepsi in the Twenty-First Century (9-702-442) 853
Case 5.4: TiVo in 2002 (9-502-062) 853
Case 5.5: Compaq Computer: Intel Inside? (9-599-061) 853
Case 5.6: The New Beetle (9-501-023) 853
Appendix: Statistical Tables 854
Notes 866
Photo Credits 907
Index 909