Timeline for How to partition the variance explained at group level and at individual level?
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 1, 2017 at 11:58 | history | edited | amoeba | CC BY-SA 3.0 |
edited tags; edited title
|
| Aug 20, 2013 at 17:31 | vote | accept | Viplav Babu | ||
| S Aug 14, 2013 at 1:28 | history | suggested | Jake Westfall |
changed "icc" tag to "intra-class correlation"; added "random-effects-model"
|
|
| Aug 14, 2013 at 1:08 | answer | added | Jake Westfall | timeline score: 19 | |
| Aug 14, 2013 at 0:37 | review | Suggested edits | |||
| S Aug 14, 2013 at 1:28 | |||||
| Aug 13, 2013 at 10:58 | comment | added | Viplav Babu | and if I follow Bliese formula (p. 43) hrs.mod<-aov(HRS~as.factor(GRP),data=bhr2000) i get different answer cran.r-project.org/doc/contrib/Bliese_Multilevel.pdf | |
| Aug 13, 2013 at 10:52 | comment | added | Viplav Babu | Hi Peter, Gelman and Hill (p. 448) suggest using std. deviation to calculate ICC; formula std. dev of intercept/(sd of intercept+sd of residual). While others, for example iub.edu/~statmath/stat/all/hlm/hlm.pdf suggest variance estimates; formula (var. estimate of intercept/(var. estimate of intercept+ var. estimate of residual)) | |
| Aug 13, 2013 at 10:49 | review | First posts | |||
| Aug 13, 2013 at 11:23 | |||||
| Aug 13, 2013 at 10:36 | comment | added | Peter Flom | Welcome to the site. Could you clarify your question a little? What exactly do the different authors recommend? (Formulas would help, references would help, quotes would help). | |
| Aug 13, 2013 at 10:32 | history | asked | Viplav Babu | CC BY-SA 3.0 |