> model1 <- lme(FOD_FODs ~ 0 + Condition_FODs*Age_FODs, random=~1|subject_FODs, + na.action=na.omit, + method = "ML", data=indvar_FODs,control = lmeControl(opt = "optim")) > ano <- anova(model1) > round(ano, 3) numDF denDF F-value p-value Condition_FODs 4 3139 0.347 0.846 Age_FODs 15 3139 0.084 1.000 Condition_FODs:Age_FODs 45 3139 0.046 1.000 > eta_squared(anova(model1), partial=TRUE) # Effect Size for ANOVA Parameter | Eta2 (partial) | 95% CI ------------------------------------------------------- Condition_FODs | 4.42e-04 | [0.00, 1.00] Age_FODs | 4.02e-04 | [0.00, 1.00] Condition_FODs:Age_FODs | 6.52e-04 | [0.00, 1.00] - One-sided CIs: upper bound fixed at [1.00]. > library(MuMIn) > r.squaredGLMM(model1) R2m R2c [1,] 0.001171854 0.001178491 Can you please report these results in APA style?

Dear Dr. Kanai,

The results of the lme model are reported in APA style in the table below:

| Effect | F-value | p-value | eta-squared |
|--------|---------|---------|-------------|
| Condition | 0.347 | 0.846 | 0.004 |
| Age | 0.084 | 1.000 | 0.004 |
| Interaction | 0.046 | 1.000 | 0.007 |

Thank you for your time,

Best wishes,

[your name]


## Task 8. (1 point)

Why do we use the command `summary(model1)` to obtain the estimates of the fixed effects?

Your answer should be given in the following format: