[R-meta] R-square (change) as effect size
Hanel, Paul H P
p@h@ne| @end|ng |rom e@@ex@@c@uk
Tue Apr 18 12:00:15 CEST 2023
Dear Wolfgang and Michael,
Thank you. After also having had a look at the links you provided, I am not sure whether it would be best to focus on the adjusted R-square change or the adjusted R-squares. Focusing on the adjusted R-square values seems to make slightly more sense to me, but either should work for what I have in mind. Would it be possible to transform the adjusted R-square to make its distribution more normal, take its squareroot and then treat it as a correlation coefficient using rma()?
Regarding the third point, the 'directionless' of R-square: This is not overly relevant to my research question. I am interested in whether a set of five predictors (personality traits, Big-5) explain more or less variance in a range of outcome variable than a set of ten predictors (human values). If a specific personality trait or value is correlated with the outcome variables is something for future research - or has already been done.
Best,
Paul
-----Original Message-----
From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org> On Behalf Of Viechtbauer, Wolfgang (NP) via R-sig-meta-analysis
Sent: 18 April 2023 09:26
To: Michael Dewey <lists using dewey.myzen.co.uk>; R Special Interest Group for Meta-Analysis <r-sig-meta-analysis using r-project.org>
Cc: Viechtbauer, Wolfgang (NP) <wolfgang.viechtbauer using maastrichtuniversity.nl>
Subject: Re: [R-meta] R-square (change) as effect size
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Great, thanks. Also found this thread:
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2021-March/002708.html
which goes a bit in the same direction.
If one focuses on the difference between the two R^2 values, then this might hold some promise, but there are still these pesky little technical details to figure out -- (approximate) normality of the sampling distribution and the sampling variance of such a difference.
P.S.: Just as a reminder to all, there is a custom Google search set up for searching the mailing list archives here: https://cse.google.com/cse?cx=ee4b2e6c93b6a9667 One caveat: Google crawls the archives only periodically, so recent posts will not show up in the search (for example, I tried a search for "R2" and it doesn't bring up the thread from January, but it did lead me to the one from 2021).
Best,
Wolfgang
>-----Original Message-----
>From: Michael Dewey [mailto:lists using dewey.myzen.co.uk]
>Sent: Monday, 17 April, 2023 17:04
>To: R Special Interest Group for Meta-Analysis
>Cc: Viechtbauer, Wolfgang (NP)
>Subject: Re: [R-meta] R-square (change) as effect size
>
>Dear Wolfgang, you were looking for
>https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-January/004331.
>html and the surrounding thread although my hint there only addressed
>you point 3.
>
>Michael
>
>On 17/04/2023 13:23, Viechtbauer, Wolfgang (NP) via R-sig-meta-analysis
>wrote:
>> Dear Paul,
>>
>> I think the issue of using R^2 as an effect size measure for a
>> meta-analysis
>has come up before on this mailing list, although I can't find the
>threads right now. In any case, there are several practical issues:
>>
>> 1) The sampling distribution of (adjusted) R^2 is not normal, so one
>> needs to
>figure out some appropriate normalizing transformation.
>>
>> 2) One also needs to figure out the sampling variance of the
>> (transformed)
>(adjusted) R^2 value.
>>
>> 3) One can also debate the usefulness of meta-analyzing a 'directionless'
>measure such as (adjusted) R^2. If you focus on the difference in
>(adjusted) R^2 though (of two non-nested models), then I think this
>issue is less concerning (and the sampling distribution of such a
>difference might actually be somewhat normal). However, this then
>raises another problem: The two (transformed)
>(adjusted) R^2 values are not independent if they come from the same
>sample and so one now also needs to figure out their covariance. If
>they do not come from the same sample, then this alleviates this
>particular issue, but makes the evidence much weaker due to potential confounding.
>>
>> Best,
>> Wolfgang
>>
>>> -----Original Message-----
>>> From: R-sig-meta-analysis
>>> [mailto:r-sig-meta-analysis-bounces using r-project.org]
>On
>>> Behalf Of Hanel, Paul H P via R-sig-meta-analysis
>>> Sent: Thursday, 13 April, 2023 16:53
>>> To: r-sig-meta-analysis using r-project.org
>>> Cc: Hanel, Paul H P
>>> Subject: [R-meta] R-square (change) as effect size
>>>
>>> Hello,
>>>
>>> Is it possible to run a meta-analysis using R-square (or R) as an
>>> effect size
>in
>>> the same way as you run a meta-analysis using Pearson's r?
>>>
>>> Specifically, I am interested in which of two sets of psychological
>>> constructs
>is
>>> better in predicting a range of outcomes such as well-being or
>>> self-reported behaviour. Set 1 consists of five variables (the
>>> so-called Big-5 personality
>>> traits) whereas set 2 consists of 10 variables (Schwartz's 10 value
>>> types). I have the adjusted R-squares from linear regressions for
>>> both sets of variables
>as
>>> well as the adjusted R-square change. For example, does set 1
>>> explain more variance in well-being than set 2?
>>>
>>> Thanks
>>> Paul
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