SPMeta

If you find this website useful, we would appreciate it if you would cite the following paper:

McShane, B.B. and Böckenholt, U. (2017), 'Single Paper Meta-analysis: Benefits for Study Summary, Theory-testing, and Replicability.' Journal of Consumer Research , 43(6), 1048-1063.

If there are differences in the measurement scales used for the dependent measure across studies, we recommend using this website instead of the SPMeta website. See FAQ #5 of the Tutorial for details.

The SPMeta website is not limited to only the the meta-analysis of the set of studies contained in a single paper. See FAQ #8 of the Tutorial for details.

Note: Separate numbers by a space. Use a period for a missing value. For proportions, use a period for the sd. Note: You may cut and paste a column from Excel.
Download Output: Download plot (.pdf)
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Download output (.Rdata)


Note: To download output you must be on the Results tab.

Summary Data from Experiments


                
Contrast Estimates

                

                

                

                
Condition Estimates

                

                

                
Heterogeneity Estimates

                

                

                
Single Experiment Sample Size Requirements

                

                Note: This gives the sample size per condition required to achieve 80%
													power for each contrast. Inf means that 80% power cannot be achieved.
                

                
Meta-analysis Sample Size Requirements

                

                Note: This gives the sample size per condition per experiment required to achieve
													80%	power for each contrast in a meta-analysis of 2, 3, 4, and 5 experiments. Inf
													means that 80% power cannot be achieved.
                

                
Contrast Estimated Variance-Covariance Matrix

                

                

                
Condition Estimated Variance-Covariance Matrix