c:g:mrm:2022
Syllabus: 미디어 조사방법론 대학원
기본정보
교과목개요
Basic Statistics와 Multivariate Statistics 분석방법을 이용하는 연구문제를 설계하고 논문을 완성합니다.
교육목표
통계기법을 이용하여 학생들은 아래의 항목에 대해 익히고 이를 연구계획 및 연구에 접목할 수 있어야 합니다.
investigating and summarizing previous studies;
identifying and re-defining student's research interests;
designing a proper research methods;
obtaining proper data;
analyzing the data with proper methods;
developing and articulating the results and findings based on logic and reasons.
수업형식 및 진행
Discussions of readings and assignment
Discussions of students' own research works, which may include
investigating previous works based on student's own interests
articulating student's research interests and research questions
reviewing and identifying research design
gathering data
analyzing data
summing up student's findings
수업운영
기초지식 및 도구능력
평가
Attendancy | 5% |
Research Report Mid term | 30% |
Research Report Final term | 30% |
개인과제 x 5 | 35% |
- Research Report는 Cumulative 합니다.
교재 및 참고자료
바비 얼, (2021). 이성용,유홍준,정기선,고성호,이정환,민수홍,문용갑,정태인,김광기,김상욱,장준오 (역). 사회조사방법론. 센게이지러닝.
알라딘에서 책
앤디 필드, 제레미 마일스, 조이 필드. (2020). 류광 (역). 앤디 필드의 유쾌한 R 통계학 (Discovering Statistics Using R).
알라딘
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참고도서
Schedule
Schedule page
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Week 2: Preliminary RQ / Investigating previous research works / RQ develpment / Hypothesis development
Week 3: Use of library / RQ and Hypotheses Building | Design of Study | Data, what to do with them?
Week 4: Standard scores | Sampling, SE, CLT | Ch. 9. One vs Two samples Comparison
Week 5: Ch.10 ANOVA | Two way-ANOVA |
Week 6: r / Regression | Chi-square
Week 7: Present your research questions
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Week 9: Regression: Chapter 7 (Multiple Regression + alpha) & 8 (Logistic Regression)
Week 10: Ch. 11. ANCOVA / Ch. 12. Factorial ANOVA
Week 11: Ch. 13. Repeated Design / Ch. 14. Mixed Design
Week 12: Ch. 16. Manova / Ch. 17. Exploratory Factor Analysis
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Announcement
c/g/mrm/2022.txt · Last modified: 2022/03/15 08:51 by hkimscil