On Sun, May 27, 2012 at 7:33 PM, Rustam <
ryu...@gmail.com> wrote:
> "The main problem with this meta-analysis is the heterogeneity of both
> participants and methods. The analysis includes both typically
> developing children, adolescents and young adults, children with ADHD,
> children with dyslexia, children with low working memory and children
> with low IQ (55-85). It is unlikely to expect similar outcome in such
> a diverse sample of participants. The training methods used in the
> different article also vary widely. They include subjects training on
> updating (e.g. Dahlin et al.), spatial-span like task (Klingberg et
> al.) or listening to stories (St Clair-Thompson). Furthermore, the
> measure of "attention" is performance on the Stroop task, which is
> generally considered a measure of inhibition, not attention. Therefore
> this meta-analysis cannot give any information of whether Cogmed
> Working Memory Training improves working memory and attention in
> children with ADHD or working memory problems." – Torkel Klingberg MD,
> PhD
One wonders what he would have said if the meta-analysis had been
narrower - say, just 9 studies dealing with DNB and IQ. "This
meta-analysis uses too few studies to produce any reliable synthesis"?
And what sort of dramatic effect like WM training is supposed to be
operates *only* in young children, or young adults, or old adults? Is
there any principled a priori prediction from a theory that WM would
succeed only in the particular demographic group Klingberg favors?
I wonder too if he's actually read the meta-analysis, because the
authors did carefully record various modifiers like the demographics.
If one goes to page 7, for example, one can easily examine a breakdown
of effect sizes on transfer to WM performance by multiple groups:
"Young children", "children", "Young adults", and "Older adults".
"children", BTW, do the worst - worse than either "Young children" or
"Older adults". His criticism of Stroop makes it sound as if it's
being cunningly folded into all the other data in order to water down
some true effect, but the Stroop analysis is broken out as a separate
table as well, on page 8.
And he does something interesting in the final line - he demands
evidence broken out solely for young children using Cogmed on WM or
attention; apparently just the meta-analysis for young children on WM
(_d_=1.41/0.46) or Cogmed on WM (_d_=1.18/0.86) is not sufficient.
Given at least 5 coding variables with ~14 subdivisions, well, let's
just say breaking out all possible combinations of 2 values would lead
to a rather lengthy paper...
--
gwern
http://www.gwern.net