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--- c:ma:2019:schedule [2019/10/11 10:25] – [Week06 (Oct 9, 11)] hkimscil
+++ c:ma:2019:schedule [2019/12/13 13:21] – [Week16 (June 18, 20)] hkimscil
@@ Line 459: / Line 459: @@
   * [[: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>
 <WRAP half column>
 ===== Assignment =====
-  - Public opinion in online environments
+  - Public opinion in online environments ((refer to {{:public.opinion.theories.introduction.pdf}} ))
     * [[:Spiral of Silence]]
     * [[:Pluralistic Ignorance]]
@@ Line 486: / Line 495: @@
 <WRAP half column>
 __**Mid-term period**__
+===== Quiz the first one =====
+  * Lecture materials + textbook
+  * Textbook: r cookbook: textbook과 관련해서는 예상되는 아웃풋, 아웃풋을 얻기위한 명령어, 명령어(function)에 사용되는 옵션이 의미하는 것 등에 대한 사지선다 혹은 단답식 질문이 나옵니다. 펑션의 옵션사용 등과 같은 정확한 것에 대해서는 질문이 나오지 않습니다.
+    * 예
+      * one sample t-test를 하기 위한 명령어를 쓰시오 (x)
+      * t.test(sample, mu=100)에서 mu는 무엇을 의미하는가? (o)
+      * 다음 중 sapply의 아웃풋 모양으로 적당한 것은? 등등
+    * [[:The r project for statistical computing]]
+    * [[:r:Getting started]]
+    * [[:r:Basics]]
+    * [[:r:Navigating]]
+    * [[:r:Input output]]
+    * [[:r:Data structures]]
+    * [[:r:Data transformations]]
+  * Lecture content
+    * [[:Hypothesis]],
+    * [[:Research question]],
+    * [[:Research methods lecture note#커뮤니케이션_연구문제_제기와_가설|커뮤니케이션 연구문제 제기와 가설]] 부분만
+    * [[:Operationalization]],
+    * [[:Variables]],
+    * [[:Types of variables]]
+    * [[:Hypothesis testing]]
+    * [[:T-test]]
+      * 정확한 t test 공식등은 외울 필요가 없습니다. (제공됩니다).
+      * 간단한 t test 계산을 요구할 수 있습니다.
+      * ANOVA도 마찬가지입니다.
+    * [[:ANOVA]]
 </WRAP>
@@ Line 491: / Line 529: @@
 <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>
@@ Line 499: / Line 552: @@
 <WRAP half column>
 ===== ideas and concepts  =====
+[[:factor analysis]]
 </WRAP>
 <WRAP half column>
@@ Line 518: / Line 572: @@
 <WRAP half column>
 ===== Assignment =====
+[[factor analysis assignment]]
 </WRAP>
@@ Line 523: / Line 579: @@
 <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  =====
+Quiz 2 (on Friday Dec. the 6th) covers:
+  * [[:correlation]]
+  * [[:regression]]
+  * [[:multiple regression]]
+    * [[:partial and semipartial correlation]]
+    * [[:using dummy variables]]
+  * [[:factor analysis]]
+Some R outputs will be used to ask the related concepts and ideas (the above).
 ===== Assignment =====
 </WRAP>
@@ Line 535: / Line 605: @@
 ====== Week15 (Dec 11, 13) ======
 <WRAP half column>
-Group Presentation
+[[./assignment week15]]
 </WRAP>
 ====== Week16 (June 18, 20) ======
 <WRAP half column>
-__**Final-term**__
+__**Final-term**__ covers:
+correlation
+regression
+multiple regression
+partial and semipartial correlation
+using dummy variables
+factor analysis
+social network analysis
+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>