Information Package / Course Catalogue
Quantitative Audience Research
Course Code: MİÇ670
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: None
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to provide an advanced understanding of quantitative approaches used to investigate audience behavior in media and communication research. The course examines quantitative research designs, sampling strategies, scale development procedures, experimental methods, digital trace data, biometric measurement techniques, and big data applications in audience studies. It also aims to develop students’ ability to design quantitative research projects, collect and analyze data, and interpret findings according to scientific standards.

Course Content

This course covers advanced quantitative methods employed in audience research within media and communication studies. Topics include research design, sampling techniques, survey development, scale adaptation and validation, experimental research, digital behavioral data, eye-tracking, facial expression analysis, biometric measurements, big data applications, and AI-assisted data analytics. The course also addresses the ethical, methodological, and practical dimensions of contemporary quantitative approaches in media and communication research.

Name of Lecturer(s)
Learning Outcomes
1.Evaluates advanced quantitative methods used in audience research
2.Develops original quantitative research designs for media and communication studies
3.Explains the theoretical foundations and application areas of eye-tracking, FACS, psychophysiological measures, and other audience analysis techniques.
4.Evaluates the use of big data, artificial intelligence, and digital behavioral data in audience research.
5.Designs doctoral-level quantitative research projects capable of contributing original knowledge to the field.
Recommended or Required Reading
1.Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
2.Field, Andy. Discovering statistics using IBM SPSS statistics. Sage publications limited, 2024.
3.Morley, D. (1992). Television, Audiences and Cultural Studies (1st ed.). Routledge. https://doi.org/10.4324/9780203398357
4.Özçetin, B. (2018). Kitle iletişim kuramları: Kavramları okullar, modeller. İletişim Yayınları.
5.Özsoy, A. (2011). Televizyon ve İzleyici Türkiye'de Dönüşen Televizyon Kültürü ve İzleyici. Ütopya Yayınevi.
Weekly Detailed Course Contents
Week 1 - Theoretical
Theoretical and Methodological Foundations of Quantitative Audience Research
Week 2 - Theoretical
Research Problems, Theoretical Models, and Hypothesis Development
Week 3 - Theoretical
Quantitative Research Designs and Sampling Strategies
Week 4 - Theoretical
Survey Design, Scale Development, and Measurement Procedures
Week 5 - Theoretical
Assessing Validity, Reliability, and Measurement Quality
Week 6 - Theoretical
Experimental Methods in Media and Communication Research
Week 7 - Theoretical
Digital Platform Data and the Measurement of User Behavior
Week 8 - Theoretical
Analyzing Audience Attention through Eye-Tracking Technology
Week 9 - Theoretical
Facial Action Coding System (FACS) and Facial Expression Analysis
Week 10 - Theoretical
Psychophysiological Measurement Techniques and Media Experience
Week 11 - Theoretical
Quantitative Content Analysis and Computational Media Research
Week 12 - Theoretical
Big Data, Artificial Intelligence, and Audience Analytics
Week 13 - Theoretical
Advanced Data Analysis and Interpretation of Research Findings
Week 14 - Theoretical
Contemporary Trends in Quantitative Audience Research and Doctoral Project Presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Term Assignment1%30
Midterm Examination1%40
Final Examination1%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Term Project130030
Midterm Examination121223
Final Examination128230
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
4
4
2
3
4
3
3
2
OÇ-2
3
3
2
3
5
3
5
3
OÇ-3
5
3
2
3
4
2
3
2
OÇ-4
3
4
2
4
4
4
4
3
OÇ-5
4
4
3
3
5
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026