====== In class activity ======

----
  * Finding theories 
  * Finding research articles (2개) based on the theories you found the above
  * Building at least 2 hypotheses based the theories
  * Summarize the two articles 
  * in class - 
    * From the hypotheses you built 
    * Identifying IVs, Dvs, etc. 
    * Identifying level of measurement 
    * Identifying the nature of hypothesis
  * and then
  * what you would do (plan) 
    * measurement 
    * data gathering 
    * analysis 
    * interpret 


====== Theories, hypothesis test ======
[[:Theories]]
[[:Research Question]]
[[:Hypothesis]]

====== Analysis ======

IVs
<del>DVs</del> 
DV (usually)

level of measurement 

|              | IV (nominal)  | IV (ordinal)  | IV (number)  |
| DV \\ (number)   | [[:z-test]] \\ [[:t-test]] \\ [[:ANOVA]] \\ [[:Factorial ANOVA]]   |    | [[:correlation]] \\ [[:regression]] \\ [[:multiple regression]] \\ [[:factor analysis]] \\ [[:path analysis]] \\ [[:structural equation modeling]]  |
| DV \\ (nominal)  | [[:chi-square test]]   |    | [[:logit analysis]] \\ [[:logistics analysis]]   |

====== Intro to basic statistics with mp4 ======

  * [[:variance]] and [[:standard deviation]]
  * [[:sampling distribution]]
  * [[:central limit theorem]] or CLT
  * [[:hypothesis testing]]
  * 관련 동영상 
    * https://youtu.be/rJdmkh38728 : 샘플링 (표집) 
    * https://youtu.be/Yo4Ilqm1m0o : 평균, 분산, 표준편차, 자유도, 확률이론, 표준오차, 샘플평균의 표준편차, 중심극한정리 --> 가설검증의 원리


  * [[:z-test]] : 
    * https://youtu.be/hX0mbKm6M4s
  * [[:t-test]]
    * https://youtu.be/Eje8lR8EXPc t-test: Intro
    * https://youtu.be/BL9TZbDUVWg t-test: One sample t-test
    * https://youtu.be/E7QUCYRcbM0 t-test: Independent samples t-test; repeated measure t-test 일부
    * https://youtu.be/CV-DY9xdxtc t-test: Repeated measure t-test 계속
  * [[:ANOVA]] 
    * https://youtu.be/bNK5iIjAoHI : Intro to ANOVA (F-test)
    * https://youtu.be/L9ns0vuvWJ8 : principles of ANOVA 
    * https://youtu.be/xOixsz4Qkz0 : ANOVA, calculation based on the principle
    * https://youtu.be/kyVXFS3jts4 : post-hoc test / t-test vs. ANOVA
  * [[:Factorial ANOVA]]
    * https://youtu.be/IpuyWhk1R9g : Factorial ANOVA
    * https://youtu.be/UuJhej1eJJI : Factorial ANOVA by hand
    * https://youtu.be/rl6zs1lK0BE : Factorial ANOVA egs.

  * [[:variance]] and [[:covariance]]
  * [[:correlation]]
    * https://youtu.be/Cj7mxGBrIU8 : Correlations 01
    * https://youtu.be/oYKFeuAn140 : Correlations 02
  * [[:regression]]
    * https://youtu.be/68gho4ubOjs : Regression 1. Intro
    * https://youtu.be/qXSRgSh1rw0 : Regression 2. e.g. 1
    * https://youtu.be/I8wt2W7-Iio : Regression 3. e.g. 2
  * [[:multiple regression]]
    * https://youtu.be/LOEinkXaskA : Multiple Regression 01 Intro. 
    * https://youtu.be/v6LswXPvEWY : Multiple Regression 03 Interpreting ivs
    * https://youtu.be/tc6wb7fBmiY : Week13 Multiple Regression 02 Dummy variables 

  * [[:factor analysis]]
    * https://youtu.be/AXMtT5cYpZ4 Factor Analysis
  * [[:path analysis]]
  * [[:structural equation modeling]]

[[:social network analysis]]

[[:logit analysis]]

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[[:제3자 효과이론과 침묵의 나선이론 연계성]]