Cross-hairs: a scatterplot for meta-analysis in R

Date

2017-03-01

Author

Brannick, Michael T.
Gültaş, Mehmet

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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We describe a meta-analytic scatterplot that indicates precision of points for two variables paired within studies; this is equivalent in form to a 'cross-hairs' plot used to portray specificity and sensitivity in diagnostic testing. At the user's discretion, the plot also displays boxplots for each of the X and Y variable distributions, means for each of the variables, and the correlation between the two. The cross-hairs may be suppressed for dense point clouds. The program is written in R, so it can be modified by the user and can serve as a companion to existing meta-analysis programs. Some of the program's novel uses are described and illustrated with (1) independent effect sizes, (2) dependent effect sizes, and (3) shrunken estimates. Copyright (C) 2016 John Wiley & Sons, Ltd.

Subject Keywords

Graph, Plot, Shrunken estimates, Visualization

URI

https://hdl.handle.net/11511/32305

Journal

RESEARCH SYNTHESIS METHODS

DOI

https://doi.org/10.1002/jrsm.1220

Collections

Graduate School of Social Sciences, Article

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Citation Formats

M. T. Brannick and M. Gültaş, “Cross-hairs: a scatterplot for meta-analysis in R,” RESEARCH SYNTHESIS METHODS, pp. 53–63, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32305.