Message-ID: <IA1PR12MB6043E0D6C52E09DB97D52E63AA84A@IA1PR12MB6043.namprd12.prod.outlook.com>
Date: 2023-12-06T05:24:35Z
From: Sicong Liu
Subject: [R-meta] resources re. synthesis of cov/corr matrices
In-Reply-To: <CADF7-FO2Vf1JzURWWU-kmz86EBoA8Aquz82EsqGOfRRyfsxkJg@mail.gmail.com>
Dear Mike,
Thank you very much for sharing! ?
Cheers,
Zone
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From: Mike Cheung <mikewlcheung at gmail.com>
Date: Wednesday, December 6, 2023 at 11:45 AM
To: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-project.org>
Cc: Sicong Liu <64zone at gmail.com>
Subject: Re: [R-meta] resources re. synthesis of cov/corr matrices
Dear Zone,
One starting point is to search the topic "meta-analytic structural equation model (MASEM)." Here is an article summarizing it. https://osf.io/preprints/psyarxiv/epsqt
The metaSEM package provides a unified framework to do it. https://github.com/mikewlcheung/metasem
Best,
Mike
On Wed, Dec 6, 2023 at 9:00?AM Sicong Liu via R-sig-meta-analysis <r-sig-meta-analysis at r-project.org<mailto:r-sig-meta-analysis at r-project.org>> wrote:
Hello All,
Hope everyone is enjoying the holiday vibes!
Most of the books or papers I have read so far deal with attempted causal relationships, such as those involving experiment/clinical trials. However, I would like to get recommendations regarding the synthesis of covariance/correlation matrices when the focused relationship of meta-analysis is correlational and multivariate, such as those requiring structural equation modeling. I wonder if anyone could point me to some reviews/books or relevant sources?
Thank you very much all!
Cheers,
Sicong (Zone) Liu
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