[[./|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]]
[[https://campus.datacamp.com/courses/network-analysis-in-r|Network Analysis in R]] using igraph package -- from Datacamp
[[https://campus.datacamp.com/courses/marketing-analytics-in-r-statistical-modeling/|Marketing analysis in r statistics]] from Datacamp

====== Week01 (Sep 1, 3) ======
<WRAP half column>
===== ideas and concepts  =====
Using <del>[[:theories]]</del> 
 
 
  * [[:research_methods_lecture_note#커뮤니케이션_연구문제_제기와_가설|연구문제와 가설]] and 
  * making [[:hypothesis|hypotheses]]
</WRAP>
<WRAP half column>
Installing R

===== Assignment =====
</WRAP>
====== Week02 (Sep 8, 10) ======
<WRAP half column>
===== Concepts and ideas =====
  * 제2장. 여러분이 . . . = 통계관련 개념 개관 

  * [[:Research Question]]
  * [[:Hypothesis]]
    * Educated guess (via theories)
    * Difference 
    * Association
    * Variables (vs. ideas, concepts, and constructs)
      * [[:Operationalization]]
      * [[:Variables]], 
        * [[:level of measurement]]
          * [[:level of measurement#Nominal]]
          * [[:level of measurement#Ordinal]]
          * [[:level of measurement#Interval]]
          * [[:level of measurement#Ratio]]
        * [[:Types of Variables]] 
        * see [[http://chohongjoong.com/gnu4/bbs/board.php?bo_table=board02&wr_id=311&sfl=&stx=&sst=wr_datetime&sod=desc&sop=and&page=1|this blog]] written in Korean
          * [[:Independent Variable|IV]] 독립변인
          * [[:Dependent Variable|DV]] 종속변인
          * Control variable 제어변인
          * Mediator (Intervening) variable 매개변인

   * 제2장 
     * 통계적모형과 ([[:model]]) 적합성 (model fit)
     * 간단한 예로서의 [[:mean|평균]] (mean)
     * 제곱합 (오차의제곱합, 혹은 이탈의제곱합 혹은 deviation score의제곱합)
     * [[:variance|분산]]
       * 모집단 추정을 위해서 [[:why n-1|n-1 사용을 하는 이유]]
       * [[:degrees of freedom|자유도]]
     * [[:Standard Deviation|표준편차]]
     * [[:z_score]]
     * 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
$$ \text{Inferential Statistics} = \frac {\text{Effects}} {\text{Error}} $$

</WRAP>
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===== Assignment =====

</WRAP>
====== Week03 (Sep 15, 17) ======
<WRAP half column>
===== Activities =====
===== Concepts and ideas =====

</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>
====== Week04 (Sep 22, 24) ======
<WRAP half column>
===== 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
      * [[:Spiral of Silence]]
      * [[:cognitive dissonance]]  
    * Read [[:hypothesis]]
    * [[http://behavioralsciencewriting.blogspot.kr/2011/09/how-to-write-hypothesis.html|how to write hypothesis]] at behavioral science writing. 
    * One sample hypothesis [[http://www.socialresearchmethods.net/kb/hypothes.php|Hypothesis]] at www.socialresearchmethods.net
===== Concepts and ideas =====
</WRAP>
<WRAP half column>
===== Assignment =====
Assignment for all
  * Read [[:research_methods_lecture_note#커뮤니케이션_연구문제_제기와_가설]]
  * Read [[:research question]]
  * Read [[:hypothesis]]

Group assignment 1 (w04.ga.identifying.variables
  * [[:Hypothesis]] 문서의 [[:hypothesis#예]]의 "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 
    * [[:Hypothesis]], 
    * [[:Types of Variables]], 
    * [[:Level of Measurement]],
    * [[:Operationalization]] 
  * 그룹의 학문적인 관심사를 논의하고 주제를 잡은 후, 키워드 혹은 주제와 관련된 가설이 (가설검증이) 있는 학술적인 논문을 <del>그룹 구성원 숫자만큼 찾고</del>, 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.
</WRAP>

====== Week05 (Sep 29, Oct 1) ======
<WRAP half column>
===== ideas and concepts  =====
===== Assignment =====
</WRAP>

====== Week06 (Oct 6, 8) ======
<WRAP half column>
===== ideas and concepts  =====
[[:correlation]]
[[:regression]]
[[:multiple regression]]
  * [[:r:correlation|correlation in r]]
  * [[:r:multiple regression|multiple regression in r]]

[[:Partial and semipartial correlation]]
[[:using dummy variables]]

[[:Statistical Regression Methods]]
[[:Sequential Regression]]


  
</WRAP>
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===== Assignment =====
  - Public opinion in online environments ((refer to {{:public.opinion.theories.introduction.pdf}} ))
    * [[:Spiral of Silence]]
    * [[:Pluralistic Ignorance]]
    * [[:The Third Person Effect]]
    * 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
 

</WRAP>

====== Week07 (Oct 13, 15) ======
<WRAP half column>
===== ideas and concepts  =====
</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>

====== Week08 (Oct 20, 22)  ======
<WRAP half column>
__**Mid-term period**__ 
</WRAP>

====== Week09 (Oct 27, 29) ======
<WRAP half column>
===== ideas and concepts  =====
[[:correlation]]
[[:regression]]
[[:multiple regression]]
  * [[:r:correlation|correlation in r]]
  * [[:r:multiple regression|multiple regression in r]]

[[:Partial and semipartial correlation]]
[[:using dummy variables]]

[[:Statistical Regression Methods]]
[[:Sequential Regression]]

===== Activity =====
[[c/ma/2019/Multiple Regression Exercise]]

</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>

====== Week10 (Nov 3, 5) ======
<WRAP half column>
===== ideas and concepts  =====
[[:factor analysis]]
</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>

====== Week11 (Nov 10, 12) ======
<WRAP half column>
===== ideas and concepts  =====
</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>

====== Week12 (Nov 17, 19) ======
<WRAP half column>
===== ideas and concepts  =====
</WRAP>
<WRAP half column>
===== Assignment =====
[[factor analysis assignment]]

</WRAP>

====== Week13 (Nov 24, 26) ======
<WRAP half column>
===== ideas and concepts  =====
[[:social network analysis]]
[[:r:social network analysis tutorial]]
[[:r:social network analysis|sna in r]] 
[[:sna_eg_stanford|Stanford University egs.]]
</WRAP>
<WRAP half column>
===== announcement  =====
===== Assignment =====
Multiple regression excercise
    * 가설만들기
      * 하나의 종속변인과
      * 3개 이상의 독립변인 
        * 그 중 하나 이상의 종류변인 포함
    * 데이터수집 
    * 테스트
    * 고유영향력 측정하기 
</WRAP>

====== Week14 (Dec 1, 3) ======
<WRAP half column>
{{:insurance.csv}}

Quiz 2 (on Friday Dec. the 6th) covers:
  * [[:t-test]]
  * [[:ANOVA]]
  * [[:factorial ANOVA]]
  * [[:correlation]]
  * [[:regression]]
Some R outputs will be used to ask the related concepts and ideas (the above). 

For the next quiz 
  * the above +
  * [[:multiple regression]]
    * [[:partial and semipartial correlation]]
    * [[:using dummy variables]]
  * [[:factor analysis]]

</WRAP>

====== Week15 (Dec 8, 10) ======
<WRAP half column>

[[./assignment week15]]
</WRAP>

====== Week16 (June 15, 17) ======
<WRAP half column>
__**Final-term**__ covers:
correlation
regression
multiple regression
partial and semipartial correlation
using dummy variables
factor analysis
[[:social network analysis]]
[[:r:social network analysis tutorial|sna tutorial]]
[[:r:social network analysis|sna in r]] 
[[:sna_eg_stanford:lab06|SNA e.g. lab 06]]

Some R outputs will be used to ask the related concepts and ideas (the above).

</WRAP>