           No standard deviation of variable in the random effect is provided. How to construct CI?
 
Best Regards,
Tommy
Research Assistant of HKIEd 

________________________________

From: ronggui [mailto:ronggui.huang@gmail.com]
Sent: 17/3/2009 [Tue] 14:10
To: WONG, Ka Yau
Cc: r-help@r-project.org
Subject: Re: [R] Multilevel modeling using R



You can use intervals to get the Confidence intervals of fixed and
random effects.

Best

2009/3/17 WONG, Ka Yau <kayau@ied.edu.hk>:
> Dear All,
>
>         I use R to conduct multilevel modeling. However, I have a problem about the interpretation of random effect. Unlike the variables in fixed effects, the variables in random effects have not shown the p-value, so I don't know whether they are significant or not? I want to obtain this figure to make the decision.  Thanks a lot!
>
> Below is the syntax and output of my program:
>
> library(nlme)
> dataset <- read.csv("d:/dataset.csv")
> lme11 <- lme(Overall~1, random=~1|School, method="ML", data=dataset)
> summary(lme11)
>
> Linear mixed-effects model fit by maximum likelihood
> Data: dataset
>       AIC      BIC   logLik
>  12637.06 12656.27 -6315.53
>
> Random effects:
>  Formula: ~1 | School
>                (Intercept)  Residual
> StdDev:   0.2912031 0.9894488        (<-- No p-value)
>
> Fixed effects: Overall ~ 1
>                      Value      Std.Error      DF     t-value     p-value
> (Intercept) 0.7755495 0.06758038 4444 11.47596       0            (<-- Have p-value)
>
> Standardized Within-Group Residuals:
>          Min                  Q1                Med                Q3                  Max
> -3.797466473 -0.661750231 -0.007874993  0.652625939  3.549169733
>
> Number of Observations: 4464
> Number of Groups: 20
>
>
> Best Regards,
> Tommy
> Research Assistant of HKIEd
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



--
HUANG Ronggui, Wincent
Tel: (00852) 3442 3832
PhD Candidate
Dept of Public and Social Administration
City University of Hong Kong
Home page: http://asrr.r-forge.r-project.org/rghuang.html

A sociologist is someone who, when a beautiful women enters the room
and everybody look at her, looks at everybody.




	[[alternative HTML version deleted]]


