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Marketing Research

Marketing Research

Naresh K. Malhotra | David F. Birks | Peter A. Wills

(2013)

Additional Information

Book Details

Abstract

Working as a marketing researcher is an intellectually stimulating, engaging and creative occupation. Malhotra and Birks have long been regarded as offering the most applied, comprehensive and authoritative commentary on European Marketing Research, helping students to build a clear understanding of how to:

  • diagnose and direct research questions that will support marketing decision making,

  • appreciate what excellent research design means,

  • utilise data collection techniques; qualitative and quantitative methods and forms of analysis,

  • manage the ethical dilemmas and social and cultural issues faced by researchers in today’s global, online world,

  • integrate new developments in social media research with traditional marketing research methods.


Table of Contents

Section Title Page Action Price
Cover\r Cover
Marketing Research\r iii
Brief contents v
Contents vii
Preface\r xiv
Guided tour\r xviii
Publisher’s acknowledgements\r xx
About the authors\r xxii
Introduction to marketing research 1
Objectives 2
Overview 2
What does marketing research encompass?\r 3
Definition of marketing research 6
The marketing research process 8
A classification of marketing research 12
The global marketing research industry 15
Justifying the investment in marketing research 20
The future – Research.and the nature of skills demanded of researchers\r 23
Supporting decision-makers in sports marketing 28
International marketing research 28
Ethics in marketing research 30
Digital applications in marketing research 32
Summary 33
Questions 34
Exercises 34
Notes 35
Defining the marketing research problem and developing a research approach 37
Objectives 38
Overview 38
Importance of defining the problem 40
The marketing research brief 41
Components of the marketing research brief 42
The marketing research proposal 45
The process of defining the problem and developing a research approach 50
Environmental context of the problem 52
Discussions with decision-makers 52
Interviews with industry experts 53
Initial secondary data analyses 55
Marketing decision problem and marketing research problem 55
Defining the marketing research problem 59
Components of the research approach 60
Objective/theoretical framework 61
Analytical model 62
Research questions 64
Hypothesis 65
International marketing research 66
Ethics in marketing research 68
Digital applications in marketing research 69
Summary 70
Questions 71
Exercises 72
Notes 73
Research design 75
Objectives 76
Overview 76
Research design definition 77
perspective 78
Research design from the participants’ perspective 79
Research design classification 86
Descriptive research 90
Causal research 97
Relationships between exploratory, descriptive and causal research 98
Potential sources of error in research designs 101
International marketing research 104
Ethics in marketing research 105
Digital applications in marketing research 106
Summary 108
Questions 109
Exercises 110
Notes 110
Secondary data collection and analysis 113
Objectives 114
Overview 114
Defining primary data, secondary data and marketing intelligence 115
Advantages and uses of secondary data 118
Disadvantages of secondary data 120
Criteria for evaluating secondary data 120
Classification of secondary data 123
Published external secondary sources 124
Databases 128
Classification of online databases 129
Syndicated sources of secondary data 130
Syndicated data from households 133
Syndicated data from institutions 141
International marketing research 143
Ethics in marketing research 144
Digital applications in marketing research 145
Summary 146
Questions 147
Exercises 148
Notes 149
Internal secondary data and the use of databases 151
Objectives 152
Overview 152
Internal secondary data 155
Geodemographic data analyses 158
Customer relationship management 163
Web analytics 166
Linking different types of data 170
International marketing research 174
Ethics in marketing research 175
Digital applications in marketing research 176
Summary 178
Questions 179
Exercises 179
Notes 180
Qualitative research: its nature and approaches 182
Objectives 183
Overview 183
Primary data: qualitative versus quantitative research 187
Rationale for using qualitative research 188
Philosophy and qualitative research 191
Ethnographic research 198
Grounded theory 203
Action research 206
International marketing research 210
Ethics in marketing research 212
Digital applications in marketing research 213
Summary 214
Questions 215
Exercises 216
Notes 217
Qualitative research: focus group discussions 219
Objectives 220
Overview 220
Classifying qualitative research techniques 222
Focus group discussion 224
Planning and conducting focus groups 230
The moderator 235
Other variations of focus groups 236
Other types of qualitative group discussions 237
Misconceptions about focus groups 238
Online focus groups – e-groups\r 240
Advantages of e-groups 242
Disadvantages of e-groups 242
International marketing research 244
Ethics in marketing research 246
Digital applications in marketing research 248
Summary 249
Questions 250
Exercises 251
Notes 251
Qualitative research: in-depth interviewing and projective techniques 253
Objectives 254
Overview 254
In-depth interviews 255
Projective techniques 267
Comparison between qualitative techniques 274
International marketing research 275
Ethics in marketing research 277
Digital applications in marketing research 278
Summary 280
Questions 281
Exercises 281
Notes 282
Qualitative research: data analysis 285
Objectives 286
Overview 286
The qualitative researcher 287
The process of qualitative data analysis 291
Grounded theory 304
Content analysis 307
Semiotics 309
International marketing research 312
Ethics in marketing research 313
Digital applications in marketing research 315
Summary 320
Questions 321
Exercises 321
Notes 322
Survey and quantitative observation techniques 325
Objectives 326
Overview 326
Survey methods 327
Online surveys 330
Telephone surveys 334
Face-to-face surveys 336
Postal surveys 339
A comparative evaluation of survey methods 340
Other survey methods 348
Mixed-mode surveys 349
Observation techniques 350
Observation techniques classified by mode of administration 352
A comparative evaluation of the observation techniques 356
Advantages and disadvantages of observation techniques 357
International marketing research 358
Ethics in marketing research 360
Digital applications in marketing research 361
Summary 363
Questions 364
Exercises 364
Notes 365
Causal research design: experimentation 369
Objectives 370
Overview 370
Concept of causality 371
Conditions for causality 372
Definitions and concepts 375
Definition of symbols 377
Validity in experimentation 378
Extraneous variables 378
Controlling extraneous variables 381
A classification of experimental designs 382
Pre-experimental designs 383
True experimental designs 385
Quasi-experimental designs 387
Statistical designs 390
Laboratory versus field experiments 393
Experimental versus non-experimental designs 394
Application: test marketing 395
International marketing research 398
Ethics in marketing research 399
Digital applications in marketing research 399
Summary 401
Questions 402
Exercises 403
Notes 404
Measurement and scaling: fundamentals, comparative and non-comparative scaling 407
Objectives 408
Overview 408
Measurement and scaling 410
Scale characteristics and levels of measurement 410
Primary scales of measurement 412
A comparison of scaling techniques 417
Comparative scaling techniques 418
Itemised rating scale decisions 427
Multi-item scales 431
Scale evaluation 432
Choosing a scaling technique 438
Mathematically derived scales 438
International marketing research 438
Ethics in marketing research 440
Digital applications in marketing research 440
Summary 441
Questions 442
Exercises 444
Notes 444
Questionnaire design 449
Objectives 450
Overview 450
Questionnaire definition 452
Questionnaire design process 453
Specify the information needed 456
Specify the type of interviewing method 457
Determine the content of individual questions 459
Overcoming the participant’s inability and unwillingness to answer 460
Choose question structure 463
Choose question wording 467
Arrange the questions in proper order 472
Identify the form and layout 474
Reproduce the questionnaire 475
Eliminate problems by pilot-testing 476
Summarising the questionnaire design process 478
International marketing research 480
Ethics in marketing research 482
Digital applications in marketing research 483
Summary 485
Questions 486
Exercises 487
Notes 488
Sampling: design and procedures 491
Objectives 492
Overview 492
Non-comparative scaling techniques 422
Itemised rating scales 424
Sample or census 494
The sampling design process 496
A classification of sampling techniques 501
Non-probability sampling techniques 502
Probability sampling techniques 507
Choosing non-probability versus probability sampling 515
Summary of sampling techniques 516
International marketing research 518
Ethics in marketing research 520
Digital applications in marketing research 520
Summary 522
Questions 523
Exercises 524
Notes 525
Sampling: final and initial sample size determination 528
Objectives 529
Overview 529
Definitions and symbols 531
The sampling distribution 532
Statistical approaches to determining sample size 534
The confidence interval approach 534
Multiple characteristics and parameters 540
Other probability sampling techniques 541
Adjusting the statistically determined sample size 541
Calculation of response rates 542
Non-response issues in sampling 543
International marketing research 550
Ethics in marketing research 551
Digital applications in marketing research 553
Summary 555
Questions 555
Exercises 556
Appendix: The normal distribution 557
Notes 559
Survey fieldwork 562
Objectives 563
Overview 563
The nature of survey fieldwork 565
Survey fieldwork and the data collection process 566
Selecting survey fieldworkers 566
Training survey fieldworkers 567
Recording the answers 570
Supervising survey fieldworkers 573
Validating survey fieldwork 574
Evaluating survey fieldworkers 574
International marketing research 575
Ethics in marketing research 576
Digital applications in marketing research 578
Summary 579
Questions 580
Exercises 581
Notes 582
Data integrity 584
Objectives 585
Overview 585
The data integrity process 586
Checking the questionnaire 587
Editing 588
Coding 589
Transcribing 595
Cleaning the data 597
Statistically adjusting the data 599
Selecting a data analysis strategy 602
International marketing research 606
Ethics in marketing research 607
SPSS and SAS Learning Editions 608
Summary 611
Questions 612
Exercises 612
Notes 613
Frequency distribution, cross-tabulation and hypothesis testing 616
Objectives 617
Overview 617
Frequency distribution 620
Statistics associated with frequency distribution 622
A general procedure for hypothesis testing 625
Cross-tabulations 630
Statistics associated with cross-tabulation 636
Hypothesis testing related to differences 640
Parametric tests 642
Non-parametric tests 648
SPSS and SAS Learning Editions 654
Summary 657
Questions 658
Exercises 658
Notes 661
Analysis of variance and covariance 663
Objectives 664
Overview 664
Relationship among techniques 666
One-way ANOVA 667
Statistics associated with one-way ANOVA 668
Conducting one-way ANOVA 668
Illustrative applications of one-way ANOVA 672
N-way ANOVA 676
Analysis of covariance (ANCOVA) 681 681
Issues in interpretation 682
Repeated measures ANOVA 684
Non-metric ANOVA 686
Multivariate ANOVA 686
SPSS and SAS Learning Editions 688
Summary 689
Questions 690
Exercises 690
Notes 693
Correlation and regression 695
Objectives 696
Overview 696
Product moment correlation 697
Partial correlation 701
Non-metric correlation 703
Regression analysis 704
Bivariate regression 704
Statistics associated with bivariate regression analysis 705
Conducting bivariate regression analysis 705
Multiple regression 714
Statistics associated with multiple regression 715
Conducting multiple regression analysis 716
Multicollinearity 724
Relative importance of predictors 725
Cross-validation 725
Regression with dummy variables 726
Analysis of variance and covariance with regression 727
SPSS and SAS Learning Editions 729
Summary 730
Questions 731
Exercises 731
Notes 734
Discriminant and logit analysis 737
Objectives 738
Overview 738
Basic concept of discriminant analysis 739
Relationship of discriminant and logit analysis to ANOVA and regression 740
Discriminant analysis model 740
Statistics associated with discriminant analysis 741
Conducting discriminant analysis 742
Conducting multiple discriminant analysis 752
Stepwise discriminant analysis 760
The logit model 761
Conducting binary logit analysis 761
SPSS and SAS Learning Editions 766
Summary 768
Questions 769
Exercises 770
Notes 770
Factor analysis 772
Objectives 773
Overview 773
Basic concept 774
Factor analysis model 775
Statistics associated with factor analysis 776
Conducting factor analysis 777
Applications of common factor analysis 789
SPSS and SAS Learning Editions 795
Summary 796
Questions 796
Exercises 797
Notes 799
Cluster analysis 801
Objectives 802
Overview 802
Basic concept 803
Statistics associated with cluster analysis 805
Conducting cluster analysis 805
Applications of non-hierarchical clustering 816
Applications of TwoStep clustering 818
Clustering variables 820
SPSS and SAS Learning Editions 823
Summary 824
Questions 825
Exercises 825
Notes 826
Multidimensional scaling and conjoint analysis 829
Objectives 830
Overview 830
Basic concepts in MDS 832
Statistics and terms associated with MDS 832
Conducting MDS 833
Assumptions and limitations of MDS 840
Scaling preference data 840
Correspondence analysis 842
Relationship among MDS, factor analysis and discriminant analysis 843
Basic concepts in conjoint analysis 843
Statistics and terms associated with conjoint analysis 844
Conducting conjoint analysis 844
Assumptions and limitations of conjoint analysis 853
Hybrid conjoint analysis 853
SPSS and SAS Learning Editions 855
Summary 857
Questions 858
Exercises 858
Notes 859
Structural equation modelling and path analysis 863
Objectives 864
Overview 864
Basic concepts in SEM 865
Statistics and terms associated with SEM 866
Foundations of SEM 868
Conducting SEM 870
Higher order CFA 881
Relationship of SEM to other multivariate techniques 882
Application of SEM: first-order factor model 882
Application of SEM: Second-order factor model 885
Path Analysis 891
SPSS and SAS Learning Editions 894
Summary 896
Questions 897
Exercises 897
Notes 898
Report preparation and presentation 900
Objectives 901
Overview 901
Importance of the report and presentation 903
Preparation and presentation process 904
Report preparation 905
Digital dashboards 915
Oral presentation 917
Research follow-up 918
International marketing research 920
Ethics in marketing research 921
Digital applications in marketing research 922
Summary 925
Questions 926
Exercises 927
Notes 928
International marketing research 930
Objectives 931
Overview 931
What is international marketing research? 932 932
A framework for international marketing research 935
Secondary data 941
Qualitative techniques 942
Survey methods 945
Measurement and scaling 949
Questionnaire translation 951
Ethics in marketing research 952
Digital applications in marketing research 953
Summary 954
Questions 955
Exercises 955
Notes 956
Business-to-business (b2b) marketing research 959
Objectives 960
Overview 960
What is b2b marketing? 962 962
The distinction between b2b and consumer marketing 963
Bases for the distinction of b2b marketing research 964
Implications of the differences between business and consumer purchases for researchers 966
The growth of competitive intelligence 979
International marketing research 982
Ethics in marketing research 984
Digital applications in marketing research 985
Summary 987
Questions 988
Exercises 988
Notes 989
Appendix: Statistical tables 992
Glossary 1003
Subject index 1021
Name index 1035
Company index 1036