The Cochrane Methodology Register (CMR) is a bibliography of publications that report on methods used in the conduct of controlled trials. It includes journal articles, books, and conference proceedings, and the content is sourced from MEDLINE and hand searches. CMR contains studies of methods used in reviews and more general methodological studies that could be relevant to anyone preparing systematic reviews. CMR records contain the title of the article, information on where it was published (bibliographic details), and, in some cases, a summary of the article. They do not contain the full text of the article.
The CMR was produced by the Cochrane UK, until 31st May 2012. There are currently no plans to reinstate the CMR and it is not receiving updates.* If you have any queries, please contact the Cochrane Community Service Team (support@cochrane.org).
The Publishers, John Wiley & Sons Ltd, thanks Update Software for the continued use of their data formats in the Cochrane Methodology Register (CMR).
*Last update in January 2019.
| Title | Meta-analytic structural equation modeling: a two-stage approach |
| Authors | Cheung MW, Chan W |
| Source | Psychological Methods |
| Date of publication | 2005 |
| Volume | 10 |
| Issue | 1 |
| Pages | 40-64 |
| Abstract | To synthesize studies that use structural equation modeling (SEM), researchers usually use Pearson correlations (univariate r), Fisher z scores (univariate z), or generalized least squares (GLS) to combine the correlation matrices. The pooled correlation matrix is then analyzed by the use of SEM. Questionable inferences may occur for these ad hoc procedures. A 2-stage structural equation modeling (TSSEM) method is proposed to incorporate meta-analytic techniques and SEM into a unified framework. Simulation results reveal that the univariate-r, univariate-z, and TSSEM methods perform well in testing the homogeneity of correlation matrices and estimating the pooled correlation matrix. When fitting SEM, only TSSEM works well. The GLS method performed poorly in small to medium samples. |
| CMR keywords | CMR: Review methodology - meta-analysis - quantitative methods - general;CMRA9;CMRA4 |
| Correspondence address | Department of Psychology, University of Hong Kong, Hong Kong. mikewlcheung@hku.hk |
| Reference type | Journal article |