You can use intervals to get the Confidence intervals of fixed and
random effects.
Best
2009/3/17 WONG, Ka Yau <ka...@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]]
>
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> 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.
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