Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Faculty of Education
  • Department of Computer Education and Inst. Tech.
  • Program in Computer Education and Inst. Tech.
  • Course Structure Diagram with Credits
  • Quantitative and Qualitative Data Analysis
  • Learning Outcomes
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

  • recall the basics of research methods
  • recalls the fundamentals of scientific knowledge.
  • tells the nature of scientific inquiry, scientific methodology and different views on scientific methods.
  • recalls the basics of research model, population and sample, data collection, qualitative and quantitative research.
  • type in data and conduct preliminary analyses.
  • recognizes the data view and variable view in SPSS.
  • calculates and interprets basic descriptives including percentage, frequency, mean, standard deviation, median, skewness, kurtosis, normal distribution, etc.
  • calculates and interprets basic descriptives including percentage, frequency, mean, standard deviation, median, skewness, kurtosis, normal distribution, etc.
  • differentiate between parametric and non-parametric tests.
  • explains the concept of parametric test.
  • describes the assumptions of parametric tests.
  • re-states the differences between parametric and non-parametric tests.
  • decides which type is more appropriate for sample situations.
  • select and conduct relevant parametric and nonparametric tests to compare groups.
  • conducts t test to compare two groups or two measurements of a single group.
  • conducts ANOVA to compare more than two groups or more than two measurements.
  • describes the procedures when the assumptions of t test or ANOVA are not met.
  • selects and conducts relevant nonparametric tests when the precautions taken are not sufficient.
  • measure relationships among variables.
  • decides the most appropriate correlation type to determine relationships between continuous variables.
  • determines the relationships between categorical variables.
  • evaluates the magnitudes, directions and significance levels of relationships among variables.
  • explain basics of the qualitative analysis
  • discusses differences between quantitative and qualitative analysis
  • examines the relationship between data collection and analysis
  • evaluates the role of the researcher
  • discusses the notions of description, analysis and interpretation
  • examines basic qualitative research methods
  • realize the data collection procedure for a chosen subject
  • collects interview, observation and document data
  • evaluates data saturation
  • examines techniques used for analyses and interpretation
  • realize descriptive analysis and content analysis
  • discusses the notion of descriptive analysis
  • examines the steps of descriptive analysis
  • summaries the steps of content analysis
  • discusses the similarities and differences between the two
  • report qualitative and quantitative data in a blended way
  • supports qualitative with quantitative or vice versa
  • exemplifies sequential or concurrent mixed design research
  • reports a small-scale research through implementing the learned methods.

  • 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 Associations