| Title |
Meta-analyzing dependent correlations: An SPSS macro and an R script
|
|---|---|
| Published in |
Behavior Research Methods, November 2013
|
| DOI | 10.3758/s13428-013-0386-2 |
| Pubmed ID | |
| Authors |
Shu Fai Cheung, Darius K.-S. Chan |
| Abstract |
The presence of dependent correlation is a common problem in meta-analysis. Cheung and Chan (2004, 2008) have shown that samplewise-adjusted procedures perform better than the more commonly adopted simple within-sample mean procedures. However, samplewise-adjusted procedures have rarely been applied in meta-analytic reviews, probably due to the lack of suitable ready-to-use programs. In this article, we compare the samplewise-adjusted procedures with existing procedures to handle dependent effect sizes, and present the samplewise-adjusted procedures in a way that will make them more accessible to researchers conducting meta-analysis. We also introduce two tools, an SPSS macro and an R script, that researchers can apply to their meta-analyses; these tools are compatible with existing meta-analysis software packages. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Macao | 1 | 2% |
| United States | 1 | 2% |
| Russia | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 10 | 20% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 4 | 8% |
| Lecturer | 4 | 8% |
| Other | 11 | 22% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 20 | 39% |
| Social Sciences | 4 | 8% |
| Business, Management and Accounting | 3 | 6% |
| Economics, Econometrics and Finance | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 11 | 22% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2013.
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#20,656,820
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Outputs from Behavior Research Methods
#1,980
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#172,316
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Outputs of similar age from Behavior Research Methods
#22
of 29 outputs
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