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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Department of Business Administration
  3. Course Structure Diagram with Credits
  4. Marketing Research
  5. Description
  • Description
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Last Updated: 29/09/2025

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
PZL461 - Marketing Research VII. SEMESTER 2 +0 5.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) DOÇ. DR. RIDVAN KOCAMAN
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources *The Journals about Marketing Discipline *Journals of Marketing World- Turkish Journal *PI (Journals of marketing and Communication Culture) -Turkish Journal *Capital (Periodical Journal) -Turkish Journal *Internet sources  
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Marketing research concept. Define of marketing research. Importance of marketing research.
Week - 2 Relationship with other academic fields of marketing research and place of marketing research in organization.
Week - 3 Marketing research process.
Week - 4 Defining problem in marketing research.
Week - 5 Sampling and sampling methods.
Week - 6 First and secondary data in marketing research.
Week - 7 Questionnaire. Questionnaire methods.
Week - 8 Question and scale types in marketing research. Observation and observation methods in marketing research.
Week - 9 Question and scale types in marketing research. Observation and observation methods in marketing research.
Week - 10 Experiment method in marketing research.
Week - 11 Data collecting and classification of data.
Week - 12 Data analyzing (Frequency, Percent, Mean, Mode, Median, Cros-tabs). Data analysing about relationships or differences among variables (Chi-square, correlation, T- test, One-way Anova, Manova).
Week - 13 Factor, Regression and Cluster Analysis.
Week - 14 Preparing marketing research report.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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