[R-sig-ME] "Multilevel Modeling Using R" and variance estimates

Marko Bachl marko.bachl at uni-hohenheim.de
Thu Oct 30 18:02:32 CET 2014

I think there is some confusion on which packages the authors talking
about in their book and in the erratum. The example on pages 44-45 in
the book reports output of lme() from the nlme package which does in
fact only include SD of the random effects.

However, I cannot comment on whether this confusion continues in the
whole book, I have just looked up the one page...

2014-10-30 15:25 GMT+01:00 Douglas Bates <bates at stat.wisc.edu>:
> I recently received an email advertisement from CRC Press which mentioned
> the recently published book "Multilevel Modeling Using R".  In the errata
> section of the web site for the book, http://www.mlminr.com/, the first
> erratum concerns the concerns the calculation of the intraclass correlation
> coefficient where the estimated standard deviations of the random effects
> and residuals are used instead of the estimated variances.
> The description of the erratum continues with the statements, "This error
> of using the standard deviation instead of the variance continues for
> several others examples. The lme4 package reports information on random
> effects in terms of the standard deviations, not in terms of the variances."
> I haven't looked at a copy of the book as it is not yet available at our
> library.  However, these statements seem peculiar to me.  Does the first
> sentence mean that the confusion of standard deviations and variances
> continues throughout the book?  If so, that seems like a rather fundamental
> mistake.
> Also, with regard to the lme4 package reporting standard deviations, not
> variances, I thought we reported both.  Is mistaking the column labelled
> Std. Dev. for variance estimates a common problem?
> Finally, most books with titles ending in "With R" or "Using R" provide an
> R package with the data.  The data in http://www.mlminr.com/data-sets are
> in CSV and SPSS formats.  Why SPSS?
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OUT NOW: Bachl, M. (2014). Analyse rezeptionsbegleitend gemessener
Kandidatenbewertungen in TV-Duellen. Erweiterung etablierter Verfahren
und Vorschlag einer Mehrebenenmodellierung. Berlin: epubli. Print:
http://uhoh.de/diss-bachl-print. Online: http://uhoh.de/diss-bachl
Dr. Marko Bachl
Universität Hohenheim
Institut für Kommunikationswissenschaft (540C)
T 0711 459 228 66
M marko.bachl at uni-hohenheim.de
W www.komm.uni-hohenheim.de/bachl

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