Practical Seminar A University of Tsukuba
This course covers qualitative research, quantitative survey, and data analysis using a computer. With lectures and group work, students are expected to learn how to plan and implement a survey and conduct data analysis. In addition to traditional data analysis methods, newly developed statistical methods will be presented, which will help understand characteristics of data from different view points.
(1) To understand qualitative research and quantitative survey methods (2) To understand how to collect and analyze various types of data (3) To understand how to use data analysis tools
Knowledge application competence, Management competence, Teamwork competence, Qualitative research competence, Quantitative research competence
Grading considers reports assigned four times (25% each). The project report is evaluated based on the following evaluation criteria; originality, completeness, relevance, impact, and comprehensibility. Students need to score above 60 on a scale of 0-100 in order to pass the course. Grades from A+ to C will be determined based on the total score.
(1) Guidance: Basics of qualitative research, quantitative survey, and data analytics (Wakabayashi) (2) Qualitative research 1: Design and implementation (Teruyama) (3) Qualitative research 2: Analysis of qualitative data (Teruyama) (4) Quantitative survey 1: Making survey forms and collecting data (Yu) (5) Quantitative survey 2: Analysis of quantitative data (Yu) (6) Data analysis 1: Introduction to statistical analysis software (Kim) (7) Data analysis 2: Analysis using open data (Kim) (8) Content analysis 1: Planning and implementing content analysis (Wakabayashi) (9) Content analysis 2: Analyzing content data (Wakabayashi) (10) Summary (Yu)
Online Course Requirement
Yu Haitao,Kim SunKyoung,Teruyama Junko,Wakabayashi Kei
Class format - Face-to-face - Students' attendance will be checked by respon.
Site for Inquiry
Link to the syllabus provided by the university