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c:g:mrm:2022:week05 [2022/04/06 18:47] – [Analysis] hkimscil | c:g:mrm:2022:week05 [2022/04/07 13:45] (current) – hkimscil |
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| DV \\ (number) | [[:z-test]] \\ [[:t-test]] \\ [[:ANOVA]] \\ [[:Factorial ANOVA]] | | [[:correlation]] \\ [[:regression]] \\ [[:multiple regression]] \\ [[:factor analysis]] \\ [[:path analysis]] \\ [[:structural equation modeling]] | | | 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]] | | | DV \\ (nominal) | [[:chi-square test]] | | [[:logit analysis]] \\ [[:logistics analysis]] | |
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| ====== Intro to basic statistics with mp4 ====== |
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* [[:variance]] and [[:standard deviation]] | * [[:variance]] and [[:standard deviation]] |
* https://youtu.be/E7QUCYRcbM0 t-test: Independent samples t-test; repeated measure t-test 일부 | * 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 | * https://youtu.be/CV-DY9xdxtc t-test: Repeated measure t-test 계속 |
* [[:ANOVA]] and [[:Factorial ANOVA]] | * [[:ANOVA]] |
* https://youtu.be/bNK5iIjAoHI : Intro to ANOVA (F-test) | * https://youtu.be/bNK5iIjAoHI : Intro to ANOVA (F-test) |
* https://youtu.be/L9ns0vuvWJ8 : principles of ANOVA | * https://youtu.be/L9ns0vuvWJ8 : principles of ANOVA |
* https://youtu.be/xOixsz4Qkz0 : ANOVA, calculation based on the principle | * https://youtu.be/xOixsz4Qkz0 : ANOVA, calculation based on the principle |
* https://youtu.be/kyVXFS3jts4 : post-hoc test / t-test vs. ANOVA | * 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. |
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| * [[: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 |
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[[:variance]] and [[:covariance]] | * [[:factor analysis]] |
[[:correlation]] | * https://youtu.be/AXMtT5cYpZ4 Factor Analysis |
[[:regression]] | * [[:path analysis]] |
[[:multiple regression]] | * [[:structural equation modeling]] |
[[:factor analysis]] | |
[[:path analysis]] | |
[[:structural equation modeling]] | |
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[[:social network analysis]] | [[:social network analysis]] |