RESEARCH METHODOLOGY FOR MARKETING

RESEARCH METHODOLOGY FOR MARKETING

Deniz Lefkeli

Instructional goals

The course will examine the specific issues involved in developing and implementing marketing research to solve a managerial decision problem. Students will obtain computer skills such as SPSS for Statistics. Knowledge from this course can be also used for writing a master thesis. Attention will be focused on such issues as:• Explain and discuss procedural and methodological factors that play a role whenassessing marketing research projects.• Discuss the various procedures used for data collection• Explain and be capable in making a questionnaire• Explain and discuss in detail the use and application of attitude scales inmarketing research• Explain the fundamentals of sampling in marketing research• Explain techniques to check and describe data (frequency tables, crosstabulations,..)• Perform and interpret parametric and non-parametric tests• Explain the right multivariate technique for data analysis given a marketingresearch problem• Know the objectives, use and interpretation of multivariate data-analysistechniques (e.g., regression, factor analysis, ANOVA...)• Understand the report preparation process and practice it

Intended learning outcomes

This course will contribute to empower students by advancing their knowledge on the statistical and analytical tools needed for solving specific marketing –related problems. Additionally, these capabilities will help students in developing their master thesis. They will be able to critically understand research papers and to propose their own research project. Individual final exams and team research projects will be particularly useful to assess these skills. Importantly, the intermediate feedbacks planned as a moment o “one-to-one” encounter between the teaching group and students teams will be particularly useful to guide and support students during their learning process and to assess their improvements. Final exams and team projects will be particularly useful for assessing students’ learning skills.

Course Contents

The course will be divided into three main parts. The first part discusses research process in depth to write a marketing research report. In particular, the main issues associated with quantitative research design, data collection, data collection techniques, questionnaire and experiment design are discussed.In the second part, an overview of basic statistics and computer skills ‘SPSS’ is provided. Key topics covered in this part include exploratory data analysis, univariate and bivariate hypothesis testing.In the third part, frequent and relevant marketing research problems, including profiling for predictive modelling, ad-copy testing, customer value analysis, and positioning are examined. For these problems, multivariate statistic techniques (e.g. regression, ANOVA, factor and reliability analyses) will be examined and indicated with SPSS.

Reference Books

Malhotra, N.K., David F. Birks, Peter Wills, “Marketing Research, An applied approach”, Fourth edition (check amazon.it), ISBN-10:0273725858, ISBN

Teaching Methods

1. Conventional lectures and practice in computer lab; 2. Team works (written marketing research report); 3. Guest speaker from the business community;

Assessment Method

1. Written Final Exam: 20% 2. Written marketing research project (team project): 50% 3. 30% Assignements

Thesis assignment criteria

at least 27/30 on the final exam

Does the syllabus cover sustainability topics?

yes, students will be exposed to different research focused on sustainability.

Week 1 Contenuto sessioni on line e on campus

1. Course overview Introduction to Marketing Research 2. Descriptive Research Design: Quantitative Observation techniques, Survey Malhotra, Birks, Wills: Chapters 1-3, 10

Week 2 Contenuto sessioni on line e on campus

1. Causal Research Design: Experimentation 2. Measurement and scaling Malhotra, Birks, Wills: Chapters 11, 12, 13

Week 3 Contenuto sessioni on line e on campus

1. Questionnaire Design 2. Computer Lab 1: Preparing a survey with Qualtrics Malhotra, Birks, Wills: Chapters 12-13

Week 4 Contenuto sessioni on line e on campus

1. Computer Lab 2: SPSS introduction, importing survey data from Qualtrics to SPSS 2. Sampling: Design and Procedures Sampling: Final and Initial Sample Size Determination Malhotra, Birks, Wills: Chapters 14-15 Basic Statistics

Week 5 Contenuto sessioni on line e on campus

1. Exploratory data analysis: Data preparation, Frequency Distribution, Cross-tabulation, summary statistics 2. Computer Lab 3: Data screening, Descriptive statistics Malhotra, Birks, Wills: Chapters 17-18

Week 6 Contenuto sessioni on line e on campus

1. Scale validity: factor analyses Scale reliability: reliability analysis 2. Computer Lab 4: Reliability analyses Malhotra, Birks, Wills: Chapters 22, 12

Week 7 Contenuto sessioni on line e on campus

1. Computer Lab 5: Factor analysis 2. Hypothesis Testing, Tests for differences between groups and relationship between Variables (t-tests, chi-square) Malhotra, Birks, Wills: Chapter 18

Week 8 Contenuto sessioni on line e on campus

1. Computer Lab 6: Chisquare and t-tests Malhotra, Birks, Wills: Chapter 19 2. Analyzing marketing experiments: Analysis of Variance and Covariance

Week 9 Contenuto sessioni on line e on campus

1. Computer Lab 6: Chisquare and t-tests Malhotra, Birks, Wills: Chapter 19 2. Analyzing marketing experiments: Analysis of Variance and Covariance

Week 10 Contenuto sessioni on line e on campus

1. Computer Lab 8: Correlation and Regression 2. Predictive models: Moderating and mediating effect, dummy variables, report preparation Malhotra, Birks, Wills, Chapter 20, 26 Malhotra, Birks, Wills Chapter 20

Week 11 Contenuto sessioni on line e on campus

1. Computer Lab 9: Moderating and mediating effect 2. Computer Lab 10: Dummy variables

Week 12 Contenuto sessioni on line e on campus

1. Computer Lab 9: Moderating and mediating effect 2. Computer Lab 10: Dummy variables