Fundamentals of Marketing ResearchFundamentals of Marketing Research covers all facets of marketing research including method, technique, and analysis at all levels. The methodological scope regarding research design, data collection techniques, and measurement is broad with three chapters devoted to the critical area of measurement and scaling. The presentation is from primarily a pragmatic and user-oriented perspective which aides the student to evaluate the research presented to them. This text explores cutting-edge technologies and new horizons while ensuring students have a thorough grasp of research fundamentals. |
Contents
Planning for Marketing Research and the Research Process | 37 |
Research Design | 76 |
Cases for Part I | 106 |
Secondary Data and Sources | 123 |
Information From Respondents | 166 |
Online Marketing Research | 221 |
Qualitative Research and Observation | 249 |
Experimentation | 285 |
Sample Size | 527 |
Cases for Part IV | 549 |
Hypothesis Testing and Univariate Analysis | 579 |
Differences Between Sample Groups | 607 |
measures of association | 636 |
Multivariate Statistical Analysis | 657 |
Factor Analysis Clustering | 707 |
Cases for Part V | 743 |
Cases for Part II | 326 |
General Concepts of Measurement | 347 |
Measurement and Scaling in Marketing Research | 371 |
Designing Questionnaires | 413 |
Cases for Part III | 465 |
Sampling Procedures in Marketing Research | 499 |
Reporting Research Results | 777 |
Statistical Tables | 813 |
Glossary of Terms | 827 |
Name Index | 849 |
About the Authors 881 | |
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advertising analyzed answer approach asked associated attitudes attributes behavior brand CHAID Chapter characteristics client cluster coefficient conducted conjoint analysis consumer correlation cost cross-tabulation data collection decision demographic dependent variable determine developed discriminant discussed distribution effect estimate evaluation example Exhibit experiment experimental factors Figure focus groups Fred Meyer household hypothesis interest International Internet interview involved level of measurement manager marketing research mean measurement methods nonprobability sample normal distribution null hypothesis objectives observed obtained panel percent population potential predict predictor problem procedures purchase questionnaire questions random regression relationship research design research project respondents response rates sampling error scale segments selected semantic differential simple random sample sources specific SPSS standard statistical stratified sampling Subaru Table techniques telephone survey users validity variance