c:ma:2019:schedule
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c:ma:2019:schedule [2019/10/11 10:27] – [Week06 (Oct 9, 11)] hkimscil | c:ma:2019:schedule [2019/12/13 13:23] (current) – [Week16 (June 18, 20)] hkimscil | ||
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* [[: | * [[: | ||
* [[: | * [[: | ||
+ | |||
+ | [[:Partial and semipartial correlation]] | ||
+ | [[:using dummy variables]] | ||
+ | |||
+ | [[: | ||
+ | [[: | ||
+ | |||
+ | |||
+ | | ||
</ | </ | ||
<WRAP half column> | <WRAP half column> | ||
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<WRAP half column> | <WRAP half column> | ||
__**Mid-term period**__ | __**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, | ||
+ | * 다음 중 sapply의 아웃풋 모양으로 적당한 것은? 등등 | ||
+ | * [[:The r project for statistical computing]] | ||
+ | * [[: | ||
+ | * [[: | ||
+ | * [[: | ||
+ | * [[:r:Input output]] | ||
+ | * [[:r:Data structures]] | ||
+ | * [[:r:Data transformations]] | ||
+ | * Lecture content | ||
+ | * [[: | ||
+ | * [[:Research question]], | ||
+ | * [[:Research methods lecture note# | ||
+ | * [[: | ||
+ | * [[: | ||
+ | * [[:Types of variables]] | ||
+ | * [[: | ||
+ | * [[:T-test]] | ||
+ | * 정확한 t test 공식등은 외울 필요가 없습니다. (제공됩니다). | ||
+ | * 간단한 t test 계산을 요구할 수 있습니다. | ||
+ | * ANOVA도 마찬가지입니다. | ||
+ | * [[:ANOVA]] | ||
+ | |||
</ | </ | ||
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<WRAP half column> | <WRAP half column> | ||
===== ideas and concepts | ===== ideas and concepts | ||
+ | [[: | ||
+ | [[: | ||
+ | [[:multiple regression]] | ||
+ | * [[: | ||
+ | * [[: | ||
+ | |||
+ | [[:Partial and semipartial correlation]] | ||
+ | [[:using dummy variables]] | ||
+ | |||
+ | [[: | ||
+ | [[: | ||
+ | |||
+ | ===== Activity ===== | ||
+ | [[c/ | ||
+ | |||
</ | </ | ||
<WRAP half column> | <WRAP half column> | ||
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<WRAP half column> | <WRAP half column> | ||
===== ideas and concepts | ===== ideas and concepts | ||
+ | [[:factor analysis]] | ||
</ | </ | ||
<WRAP half column> | <WRAP half column> | ||
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<WRAP half column> | <WRAP half column> | ||
===== Assignment ===== | ===== Assignment ===== | ||
+ | [[factor analysis assignment]] | ||
+ | |||
</ | </ | ||
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<WRAP half column> | <WRAP half column> | ||
===== ideas and concepts | ===== ideas and concepts | ||
+ | [[:social network analysis]] | ||
+ | [[:r:social network analysis tutorial]] | ||
+ | [[:r:social network analysis|sna in r]] | ||
+ | [[: | ||
</ | </ | ||
<WRAP half column> | <WRAP half column> | ||
+ | ===== announcement | ||
+ | Quiz 2 (on Friday Dec. the 6th) covers: | ||
+ | * [[: | ||
+ | * [[: | ||
+ | * [[: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 ===== | ===== Assignment ===== | ||
</ | </ | ||
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====== Week15 (Dec 11, 13) ====== | ====== Week15 (Dec 11, 13) ====== | ||
<WRAP half column> | <WRAP half column> | ||
- | Group Presentation | + | |
+ | [[./ | ||
</ | </ | ||
====== Week16 (June 18, 20) ====== | ====== Week16 (June 18, 20) ====== | ||
<WRAP half column> | <WRAP half column> | ||
- | __**Final-term**__ | + | __**Final-term**__ |
+ | 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]] | ||
+ | [[: | ||
+ | |||
+ | Some R outputs will be used to ask the related concepts and ideas (the above). | ||
</ | </ | ||
c/ma/2019/schedule.1570757269.txt.gz · Last modified: 2019/10/11 10:27 by hkimscil