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--- mediation_analysis [2024/10/31 10:30] – [Output] hkimscil
+++ mediation_analysis [2024/11/03 22:37] (current) – [What about this output] hkimscil
@@ Line 861: / Line 861: @@
 그 외의 지수는?
 어떤 모델이 지금의 현상을 가장 잘 설명하는다고 판단하는가?
+  * Model fit
+    * Chi-square Test: p-value less than p-critical value (.05 for example) indicates that model does not fit well enough. p-value more than critical value means the model fits the data relatively well. The test is sensitive to the sample size and normality of the data.
+    * CFI (Comparative Fit Index): greater than .90 indicates good fit to the data. It is less sensitive to the sample size and normality of the data than chi-square test.
+    * TLI (Tucker-Lewis Index): greater than .95 (sometimes .90) indicates good fit. It is less sensitive to the sample size.
+    * RMSEA (Root Mean Square Error of Approximation): equal to or less than .08 (sometimes .10 is used) indicates good fit to the data.
+    * SRMR (Standard Root Mean square Residual): less than or equal to .08 indicates good fit to the data.
+| $\chi^2$  | $\text{CFI}$  | $\text{TLI}$  | $\text{RMSEA}$  | $\text{SRMR}$   |
+| $p \ge .05$  | $p \ge .90$  | $p \ge .95$  | $p \le .08$  | $p \le .08$  |
+Then what is SEM (Structural Equation Modeling)
+  * Relationships within and among variables and constructs
@@ Line 973: / Line 987: @@
 </code>
-===== with a categorical variable =====
+====== e.g. with a categorical variable ======
 <code>
 # regression with job placement data
@@ Line 1038: / Line 1052: @@
         ci = T)
-all.constraints <- '
-    ag1 == ag2
-    ag2 == ag3
-    ag3 == ag1
-    bg1 == bg2
-    bg2 == bg3
-    bg3 == bg1
-    cg1 == cg2
-    cg2 == cg3
-    cg3 == cg1
-'
 all.constraints <- '
     ag1 == ag2 == ag3