c:ma:2020:schedule
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Table of Contents
Class page
multivariate statistics in R
network analysis in R
- A User’s Guide to Network Analysis in R (Use R!)
- Statistical Analysis of Network Data with R (Use R!) 2014th Edition
https://lagunita.stanford.edu
Network Analysis in R using igraph package – from Datacamp
Marketing analysis in r statistics from Datacamp
Week01 (Sep 1, 3)
Installing R
Assignment
Week02 (Sep 8, 10)
Concepts and ideas
- 제2장. 여러분이 . . . = 통계관련 개념 개관
- 제2장
- 통계적모형과 (model) 적합성 (model fit)
- 간단한 예로서의 평균 (mean)
- 제곱합 (오차의제곱합, 혹은 이탈의제곱합 혹은 deviation score의제곱합)
-
- 모집단 추정을 위해서 n-1 사용을 하는 이유
- 샘플평균들의 집합
- Sampling Distribution 혹은 Distribution of Sample Means
- Standard Deviation of Sample Means
- Standard Error, 표준오차
- Central Limit Theorem (Central Limit Theorem)
- 예측에서의 (평균이 어디에서 나올까의 예측) 신뢰구간
- 검정통계
$$ \text{Inferential Statistics} = \frac {\text{Effects}} {\text{Error}} $$
Assignment
Week03 (Sep 15, 17)
Activities
Concepts and ideas
Assignment
Week04 (Sep 22, 24)
Class Activity
out of class
- intervene –
- inter + ven(e) = between + come
- prevent
- convention
- convene
- revenue
- venue
- convenient
- adventure
- invention
- event
—-
- 가설 만들어 보기
- No need to read theories
- the third person effect
- Read hypothesis
- how to write hypothesis at behavioral science writing.
- One sample hypothesis Hypothesis at www.socialresearchmethods.net
Concepts and ideas
Assignment
Assignment for all
- Read 커뮤니케이션_연구문제_제기와_가설
- Read research question
- Read hypothesis
Group assignment 1 (w04.ga.identifying.variables
- Hypothesis 문서의 예의 “제3자 효과이론과 침묵의 나선이론 연계성” 논문을 읽고 가설을 기술하시오.
- 각 가설의 독립변인(Independent variables), 종속변인 (dependent variables) 등을 나열하시오.
- 이 논문에 사용된 이론은 무엇인지 기술하고 설명하시오.
Group assignment 2 (w04.ga.finding.research.articles)
- Read
- 그룹의 학문적인 관심사를 논의하고 주제를 잡은 후, 키워드 혹은 주제와 관련된 가설이 (가설검증이) 있는 학술적인 논문을
그룹 구성원 숫자만큼 찾고, 3개 찾고 그 내용을 간단하게 요약하시오. 내용 중에는- 연구에 대한 간략한 소개와 설명
- 관련된 이론에 대한 소개와 설명
- 가설에 대한 설명
- 가설에 사용된 변인에 대한 파악 (types of variables)
- 측정의 수준 (level of measurement) 등과
- 연구결과에 대한 설명이 포함되어야 합니다.
Week05 (Sep 29, Oct 1)
ideas and concepts
Assignment
Week06 (Oct 6, 8)
ideas and concepts
correlation
regression
multiple regression
Assignment
- Public opinion in online environments 1)
- etc. 여론형성과 관련된 사회학적 혹은 사회심리학적 이론을 찾아보고 소개하기, 예로 위의 세가지. 얼마전 사회현상을 어떻게 설명하면 좋을까에 대해서 논의정리하기? 정확한 온라인 환경에서의 여론파악을 위해서 어떤 것이 필요할까?
- 혹은 다른 문제에 대해서 (. . . 조에 따른 . . .)
- Hypotheses
- Multiple regression hypotheses.
- Google Survey Questions
Week07 (Oct 13, 15)
ideas and concepts
Assignment
Week08 (Oct 20, 22)
Mid-term period
Week09 (Oct 27, 29)
ideas and concepts
correlation
regression
multiple regression
Partial and semipartial correlation
using dummy variables
Statistical Regression Methods
Sequential Regression
Activity
Assignment
Week10 (Nov 3, 5)
ideas and concepts
Assignment
Week11 (Nov 10, 12)
ideas and concepts
Assignment
Week12 (Nov 17, 19)
ideas and concepts
Assignment
Week13 (Nov 24, 26)
ideas and concepts
social network analysis
social network analysis tutorial
sna in r
Stanford University egs.
announcement
Assignment
Week14 (Dec 1, 3)
Quiz 2 (on Friday Dec. the 6th) covers:
Some R outputs will be used to ask the related concepts and ideas (the above).
For the next quiz
- the above +
-
Week15 (Dec 8, 10)
Week16 (June 15, 17)
Final-term covers:
correlation
regression
multiple regression
partial and semipartial correlation
using dummy variables
factor analysis
social network analysis
sna tutorial
sna in r
SNA e.g. lab 06
Some R outputs will be used to ask the related concepts and ideas (the above).
c/ma/2020/schedule.1606345809.txt.gz · Last modified: 2020/11/26 08:10 by hkimscil