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Market Research Methods

PİRİ REİS UNIVERSITY

  FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES

Course Name : Market Research Methods

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

UİT 321

1/2 (Spring)

3

5

3

 

-

Department

Department of International Management and Trade

Instructors

 

Asst. Prof. Tutku Eker İşcioğlu

Contact Information

 

e-mail: teiscioglu@pirireis.edu.tr

Office Hours

Tuesday 13:30- 15:30

Web page

 

Course Type

 Compulsory

Course Language

English

Course Prerequisites

UİT 311 – Marketing Management

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

 

 

 

 

Course Description

The role of marketing research in management decision making; problem definition, exploratory research and the research process; secondary data and databases; qualitative research, interviewing and focus group; survey research, primary data collection, questionnaire design, sampling issues, hypotheses testing; data analysis, statistical testing of differences and relationship, reliability analysis, regression analysis, factor analysis.

 

Course Objectives

 

The objective of this course is to involve students in the process of marketing research and literature and thus, enable them to play an effective role in the marketing decision process.

 

Course Learning Outcomes

 

Students who pass from UİT 321 successfully will be able to:

I. Identify basic research questions that need to be investigated in line with marketing objectives.

II. Use data analysis methods and tools necessary to support and direct marketing decisions.

III. Identify the advantages and disadvantages of different qualitative and quantitative methods, and use the ones that are appropriate in the decision making process.

IV. Design a research process in the direction of marketing objectives.

V. Define various sampling types and evaluate the positive and negative aspects of each.

VI. Report and interpret the results of the analyses made.

Instructional Methods and Techniques

Lecture, Question-Answer, Discussion, Exercise and Practice, Project-Based Learning

Tutorial Place

-

Co-term Condition

-

Textbook

Marketing Research, 2015, McDaniel & Gates, 10th ed., Wiley

 

Other References

 

Homework & Projects

Students will be provided with study questions and reading materials to ensure that they follow the course development and prepare for the exams. They will also be required to develop a project to designate a marketing research to be presented at the end of the semester and identify all stages of the research process.

Laboratory Work

 

Computer Use

 

Other Activities

 

                   

 

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

14

10

Midterm

1

20

Quiz

 

 

Homework

2

10

Term Paper/Project

1

20

Laboratory Work

 

 

Practices

 

 

Tutorial

 

 

Seminar

 

 

Presentation

 

 

Field Study

 

 

Final Exam

1

40

TOTAL

 

100

Effects of Midterm on Grading, %

 

60

Effects of Final on Grading, %

 

40

TOTAL

 

100

 

 

Week

 

Topics

Course Outcomes

1

The Role of Marketing Research in Management Decision Making

I

2

Problem Definition, Exploratory Research and the Research Process

I, II

3

Secondary Data and Big Data Analytics, Qualitative Research, Primary Data Collection: Experimentation and Test Markets

I-III

4

Traditional Survey Research, Online Marketing Research, Primary Data Collection: Observation

I-III

5

The Concept of Measurement, Using Measurement Scales to Build Marketing Effectiveness

I-IV

6

Questionnaire Design

I-IV

7

Basic Sampling Issues, Sample Size Determination

V

8

Ara Sınav

I-V

9

Data Processing and Fundamental Data Analysis

III, VI

10

Statistical Testing of Differences and Relationships

III, VI

11

Bivariate Correlation and Regression

III, VI

12

Multivariate Data Analysis: Factor Analysis

III, VI

13

Multivariate Data Analysis: Multiple Discriminant Analysis

III, VI

14

Multivariate Data Analysis: Cluster Analysis

III, VI