Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
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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
  • Graduate School
  • Department of Fine Arts Education
  • Doctorate Degree (Ph.D)
  • Program in Arts and Crafts Teaching
  • Course Structure Diagram with Credits
  • Qualitative Data Analysis
  • Learning Outcomes
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

  • able to explain general aspects of qualitative data and qualitative data analysis.
  • Explains general aspects of qualitative data.
  • Explains general aspects of qualitative data analysis.
  • Compares characteristics of qualitative data analysis types.
  • able to explain related to basic concepts of qualitative data analysis.
  • Explains basic concepts of qualitative data analysis. (e.g. coding/indexing/categorizing/theme)
  • Explains basic concepts of qualitative data analysis process. (e.g. description, coding, labeling/meaning, interpretation, display, visualization)
  • Explains the relationship of concepts related to qualitative data analysis
  • able to compare some of the main qualitative data analysis types and their characteristics.
  • Explains general characteristics of qualitative data analysis types.
  • Categorizes types of qualitative data analysis.
  • Exemplifies types of qualitative data analysis based on their characteristics.
  • Compares types of qualitative data analysis
  • able to discuss related to ethical issues of qualitative data analysis in the process.
  • Evaluates the consequences of being biased in the qualitative data analysis process.
  • Explains the importance of confidentiality and privacy issues in the qualitative data analysis process.
  • Evaluates not only positive data but negative data in the data analysis also.
  • explain to computer-assisted qualitative data analysis software.
  • Explains general aspects of different computer-assisted qualitative data analysis software.
  • Explains advantages and disadvantages to the computer-assisted qualitative data analysis software.
  • Uses coding and analysis of qualitative data by computer-assisted qualitative data analysis software.
  • able to write reports appropriate to the types of qualitative data analysis.
  • Identifies the different approaches in the writing of qualitative data.
  • Experiences writing up and analysis qualitative data.
  • Applies display of different qualitative data.
  • able to evaluate a published qualitative research article according to analysis approaches.
  • Explains analysis approaches of a published qualitative research article.
  • Evaluates advantages and disadvantages to analysis approaches of a qualitative research report.
  • Evaluates appropriate to analysis approaches of a published qualitative research article.

  • 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
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