Course Name Code Semester T+U Hours Credit ECTS
Communication Research Methods MCS 503 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Prof.Dr. AYTEKİN İŞMAN
Course Lecturers
Course Assistants
Course Category
Course Objective

This course aims to introduce students to the basics of quantitative communication research. As such, it covers essential ideas in theory, hypothesis generation, research design, instrumentation, data collection, and data analysis.

Course Content

Related topics on validity, reliability, and ethical issues in conducting research on humans are also covered. An important portion of the class is devoted to a survey of univariate statistics, which includes topics on the nature of quantitative data, the logic of statistical inference, and various statistical tests such as analysis of variance, regression, nonparametric statistics, and time series analysis.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Students will learn how to experience analyzing data, computing statistics, and performing some of the other data related activities in the class , , , , , ,
2 Students will develop analytical thinking skills , , , , , , ,
3 , , , , , , ,
4 , , , , , , ,
Week Course Topics Preliminary Preparation
1 Introduction to Communication Research
2 Planning and Strategy Development & Developing and Pretesting Concepts, Messages, and Materials
3 Implementing the Program & Assessing Effectiveness and Making Refinements
4 Qualitative Research Methods
5 Analyzing Qualitative Data
6 Surveys/Questionnaires and Descriptive Statistics
7 Experimental Research and Inferential Statistics
8 Researching Online Behavior/Social Media
9 Reporting Research Results
10 Differences Between Qualitative and Quantitative Research Methods
11 Qualitative Research Methods
12 Quasi-Quantitative Research Methods: Pretesting Messages and Materials
13 Quantitative Research Methods
14 Additional Research Methods
Resources
Course Notes
Course Resources

Green, S.B., & Salkind, N.J. (2007). Using SPSS for Windows and Macintosh: Analyzing and understanding data (5th. ed.). Upper Saddle River, NJ: Prentice Hall. (ISBN 0131890255; ppk) Hayes, A. F. (2005). Statistical methods for communication science. Mahwah, NJ: Lawrence Erlbaum Associates.

Kerlinger, F. N. , & Lee, H. (2000). Foundations of Behavioral Research (4th ed.) Harcourt. (ISBN: 0-15-507897-6, Hardcover) Publication Manual of the American Psychological Association (6th ed.).

Williams, F., & Monge, P. (2000). Reasoning with statistics: How to read quantitative research (5th ed.). New York: Harcourt College Publishers.

Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
1. Ödev 30
2. Kısa Sınav 10
Total 100
1. Final 40
1. Yıl İçinin Başarıya 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 1 1
Assignment 1 5 5
Project / Design 1 20 20
Performance Task (Application) 1 10 10
Performance Task (Seminar) 1 10 10
Final examination 1 10 10
Total Workload 162
Total Workload / 25 (Hours) 6.48
dersAKTSKredisi 6