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--- spss_tutorial:anova [2016/06/01 08:17] – created hkimscil
+++ spss_tutorial:anova [2016/06/14 21:26] (current) – hkimscil
@@ Line 1: / Line 1: @@
 ~~SLIDESHOW~~
-====== T-test ======
+====== ANOVA ======
-Recap: 4가지 종류의 t-test \\
+원리이해: [[:ANOVA]]와 [[:Factorial Anova]] \\
-see [[:t-test|t-test 문서]] \\
+data: {{hs1.sav}}
-Data: {{hs1.sav}} \\
+동영상 \\
-  * One sample t-test
+{{05.mp4|ANOVA}} ANOVA \\
-  * Two sample independent t-test
+{{06.mp4|ANOVA 2}} GLM을 이용한 ANOVA test \\
-  * paired t-test
+{{07.mp4|factorial ANOVA}} factorial ANOVA, GLM이용\\
+{{08.mp4|post hoc test}} post hoc test \\
-===== One Sample T-test =====
+===== ANOVA =====
 <WRAP prewrap>
 <code>Analyze
- Compare Means
+ Compare means
-  One Sample t-test
+  One-way ANOVA
-   select write and compare it to 50
+   write = DV로 선택 prog을 fixed factor로 선택
 </code>
 </WRAP>
+[[:test_of_homogeneity_of_variances|Test of homogeneity of variances]] 참조 \\
+위는 아래와 같음. 아래는 GLM방법으로 분석 (General Linear Model)이나 원리와 방법이 같음
 <WRAP prewrap>
-<code>t-test
- /testval=50
- /variables=write.</code>
-</WRAP>
-===== Two Sample Independent T-test =====
-<WRAP prewrap>
 <code>Analyze
- Compare Means
+ General Linear Models
-  Independent Samples t-test
+  Univariate
-   select write as the dependent
+   write 변인을 DV로 선택하고 prog을 fixed factor (factor = variable) 즉 IV로 선택
-   variable and female as the
+</code>
-   independent variable</code>
 </WRAP>
-<WRAP prewrap>
+===== Factorial ANOVA =====
-<code>t-test
+<WRAP prewrap>
-  groups=female(0 1)
-  /variables=write. </code>
-</WRAP>
-===== Paired T-test =====
-<WRAP prewrap>
 <code>Analyze
- Compare Means
+ General Linear Models
-  Paired Samples t-test
+  Univariate
-   select write and science
+   write 를 DV로 선택하고 prog 과 ses 를 fixed factor(IV)로 선택 +
-</code>
+    Plots
+     prog 을 X 축에 ses 를 separate lines 으로 선택
+      Add
+       Continue
+</code>
 </WRAP>
-<WRAP prewrap>
+===== Post hoc test =====
-<code>t-test
+<WRAP prewrap>
- pairs= write with science (paired).</code>
+<code>위의 분석을 다시한번 하고
+ Post Hoc
+  select prog and choose Tukey test
+</code>
 </WRAP>