Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • TR
About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Education
  2. Department of Computer Education and Inst. Tech.
  3. Program in Computer Education and Inst. Tech.
  4. Course Structure Diagram with Credits
  5. Quantitative and Qualitative Data Analysis
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 27/06/2013

Code - Course Title Course Type Laboratory + Practice ECTS
BTÖ423 - Quantitative and Qualitative Data Analysis VII. SEMESTER 2 +0 4.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) PROF. DR. YAVUZ AKBULUT
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 Students taking this course are advised to revisit their learning experiences in ARY 204 Scientific Research Methods.  
Recommended Resources Akbulut, Y. (2008). Verilerin analizi. A. A. Kurt (Ed.), "Bilimsel araştırma yöntemleri ve ölçme değerlendirme" içinde (ss.95-118). Eskişehir: Anadolu Üniversitesi. Field, A. P. (2005). Discovering Statistics Using SPSS. London: Sage Publications. Huck, S. W. (2000). Reading statistics and research. New York: Longman. Pallant, J. (2004). Spss Survival Manual: A step by step guide to data analysis using SPSS for Windows (Version 12). Buckingham: Open Univ Press.  Punch, K. F. (2005). Sosyal araştırmalara giriş: Nicel ve nitel yaklaşımlar (Çev: D. Bayrak, H. B. Arslan, Z. Akyüz). Ankara: Siyasal Kitabevi.  Seale, C., Gobo, G., Gubrium, J. F., & Silverman, D. (Eds.) (2004). Qualitative research practice. Thousand Oaks, CA: SAGE Publications.  Silverman, D. (2004). Qualitative research: Theory, method and practice (2nd edition). London: SAGE Publications.
Work Placement SPSS applications are practiced.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction: Class / Syllabus / Assignments / Exams Overview
Week - 2 Introduction to Statistics: Data, Parameter, Variable; Descriptive Statistics Introduction to SPSS (Statistical Package for Social Sciences): SPSS Menu and data entry
Week - 3 Calculation of descriptive statistics on SPSS, Introduction to Numerical Methods for Analyzing Data (Parametric Tests)
Week - 4 T-tests: Paired Simple t-test, Independent t-test and Implementations on SPSS
Week - 5 Analyses of Variance (ANOVAs) and Implementation on SPSS I
Week - 6 Correlation Calculation of scale reliability through SPSS
Week - 7 Non-numeric Methods for Analyzing Data (Nonparametric Tests) I
Week - 8 Non-numeric Methods for Analyzing Data (Nonparametric Tests) I
Week - 9 Collecting interview, observation and document data
Week - 10 Inductive and descriptive analyses of qualitative data
Week - 11 Inductive and descriptive analyses of qualitative data
Week - 12 Blending qualitative and quantitative data
Week - 13 Reporting quantitative and qualitative data
Week - 14 review

No content has been provided.

No content has been provided.

No content has been provided.


Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 50
Homework 1 20
Toplam (%) 100

Info on the Institution

  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance

Info on Degree Programmes

  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education

Info for Students

  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office

Info for Students

  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Clubs