Course Details

INTRODUCTION TO QUALITATIVE DATA ANALYSIS & RESEARCH SOFTWARE

POLS484

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
8POLS484INTRODUCTION TO QUALITATIVE DATA ANALYSIS & RESEARCH SOFTWARE3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course aims to introduce key methods of qualitative data analysis and to provide students with practical skills in using research software tools to analyze qualitative data systematically
Course Content Interviews, stories, case studies, and texts are important sources of information on social issues. These methods yield data about how and why people think and behave in the ways that they do, and the broader context in which people make decisions. Because these methods yield large amounts of rich, descriptive data, analysis generally follows a qualitative approach. This course will introduce students to techniques, tools, and frameworks for qualitative data analysis. The course will follow a combined lecture and studio format in which students will receive guidance on how to conduct qualitative data analysis as well as peerfeedback on their own qualitative data analysis efforts. Class meetings will involve short lectures by the instructor, qualitative data analysis exercises, and collaborative studios. Students will learn about methods for analyzing qualitative data by hand and with the aid of software.
Course Methods and Techniques Lab-based practical sessions

Coding exercises

Discussion and case study analysis

Student-led software projects
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
-

Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
Veri yok

 
ECTS Allocated Based on Student Workload
Veri yok

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explain key concepts in qualitative data analysis.
2 Apply coding and theme development processes.
3 Conduct content and discourse analysis.
4 Use research software (e.g., NVivo, MAXQDA, or ATLAS.ti) at a basic level.
5 Analyze and report their own qualitative data.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction: Nature of qualitative research
2 Types of qualitative data and data collection techniques


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 5 5 5 5 3 5 5 5 5 5 5 3
C1
C2
C3
C4
C5

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72761&lang=en