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====== Syllabus: 미디어 조사방법론 대학원 ======
===== 기본정보 =====
  * 월요일 6:00-8:45
  * 교실: 산학원 422-1
  * 강의: 김효동 (hkimscil at ajou dot ac dot kr)
  * 상담시간: 월/수 4:30-6:00 or by appointment
===== 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 =====
  * 강의
  * 토론및 토의 
  * 팀 프로젝트 (발표)
===== 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. [[https://www.aladin.co.kr/shop/wproduct.aspx?ItemId=278013201|알라딘에서 책]]
    * 낮은 에디션도 무관 
    * 원서도 무관
  * 앤디 필드, 제레미 마일스, 조이 필드. (2020). 류광 (역). 앤디 필드의 유쾌한 R 통계학 (Discovering Statistics Using R). [[https://www.aladin.co.kr/shop/wproduct.aspx?ItemId=236985377|알라딘]]
    * 낮은 에디션도 무관
    * 원서도 무관
    * Andy Field, Jeremy Miles, Zoe Field. (2012). [[http://www.amazon.com/Discovering-Statistics-Using-Andy-Field-ㅇebook/dp/B00HPZ4VVM/ref=mt_kindle?_encoding=UTF8&me=|Discovering Statistics using R]]. Sage Publication. OR 
----
참고도서
  * Andy Field. (2013). [[http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS-ebook/dp/B00B1TJO10/ref=mt_kindle?_encoding=UTF8&me=|Discovering Statistics using IBM SPSS Statistics]]. Sage Publication. 
  * 안재형 (2011). R을 이용한 누구나 하는 통계분석. 한나래.
  * Futher Reading 
    * Nina ZumelJohn Mount. (2014). [[http://www.amazon.com/Practical-Data-Science-Nina-Zumel/dp/1617291560/|Practical Data Science with R]]. Manning 
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====== Schedule ======
[[.2022:Schedule|Schedule]] page

  - [[.2022:Week01|Week 1]]: Introdoction
  - [[.2022:Week02|Week 2]]: Preliminary RQ / Investigating previous research works / RQ develpment / Hypothesis development
  - [[.2022:Week03|Week 3]]: Use of library / RQ and Hypotheses Building | Design of Study | Data, what to do with them?
  - [[.2022:Week04|Week 4]]: Standard scores | Sampling, SE, CLT | Ch. 9. One vs Two samples Comparison
  - [[.2022:Week05|Week 5]]: Ch.10 ANOVA | Two way-ANOVA |
  - [[.2022:Week06|Week 6]]: r / Regression | Chi-square
  - [[.2022:Week07|Week 7]]: Present your research questions  
  - [[.2022:Week08|Week 8]]: Midterm Period
  - [[.2022:Week09|Week 9]]: Regression: Chapter 7 (Multiple Regression + alpha) & 8 (Logistic Regression)
  - [[.2022:Week10|Week 10]]: Ch. 11. ANCOVA / Ch. 12. Factorial ANOVA
  - [[.2022:Week11|Week 11]]: Ch. 13. Repeated Design / Ch. 14. Mixed Design
  - [[.2022:Week12|Week 12]]: Ch. 16. Manova / Ch. 17. Exploratory Factor Analysis
  - [[.2022:Week13|Week 13]]: SNA . . . 
  - [[.2022:Week14|Week 14]]: Presentation
  - [[.2022:Week15|Week 15]]: Presentation
  - [[.2022:Week16|Week 16]]: Final Period
====== Announcement ======

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