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MKT 144 Marketing Research

 

Dr. Boonghee Yoo, Professor of Marketing                                                                                                          

 

DESCRIPTION:

Design and implementation of market research investigations to help solve conceptual and operational marketing problems. Topics include development of research proposals, sources of primary and secondary data, questionnaire construction, sampling considerations, application of statistical analysis including computer-based techniques, and report writing. 

 

PREREQUISITES: MKT 124 and QM 122.

 

REQUIRED TEXTS: MaDaniel and Gates, Marketing Research.

 

OBJECTIVES AND METHODS OF ACHIEVING THE OBJECTIVES 

The primary objective of this course is to help you be a wise buyer and user of marketing research and the secondary objective is to help you be a capable marketing researcher. The course is designed to provide an introductory conceptual framework for understanding theories and practices of marketing research process. In particular, at the end of the semester,

 

·                     You should be able to design, conduct, analyze, interpret, and present marketing research to provide valuable information for a particular marketing decision problem. Various projects from the real world marketing problems are designed to help you build these capabilities.

 

·                     You should be able to apply statistics and statistical software to analyze marketing data. Through the course, SPSS will be run for various analytical tasks. SPSS is available in the computers of the campus. But you are free to use other software such as Mini Tab and SAS for your convenience. The statistical techniques you will learn and apply in this course include descriptive statistics, t-tests, and ANOVA.

 

·                     You should be able to understand the role and importance of marketing research in decision making in marketing.


TOPICS

The marketing research process

Research proposal

Exploratory research

Descriptive research

Causal research

Measurement

Questionnaire design

Hypothesis testing

SPSS

Descriptive statistics

Graphs

t-test

ANOVA

Chi-square test

Correlations

Regression