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| This [attachment:boot.doc word document] gives details of how to obtain a bootstrap confidence interval for ab. Bootstrapping has the advantage of not assuming normality ie not requiring a large sample. An example file is given [attachment:booteg.xls here.] This includes input data in sheets 1 and 2 and a bootstrap output spreadsheet (Bootraw4). | This [attachment:boot.doc word document] gives details of how to obtain a bootstrap confidence interval for ab. Bootstrapping has the advantage of not assuming normality ie not requiring a large sample. An example file is given [attachment:booteg.xls here.] This includes input data in sheets 1 and 2 and a bootstrap output spreadsheet (Bootraw4) containing results of estimating ab from 1000 bootstrap samples. In this example the bootstrap 95% confidence interval given in the Bootraw4 spreadsheet is (-1.56, 0.4) suggesting there is no statistically significant mediation effect. |
Using EXCEL to obtain a 95% bootstrap confidence interval for a mediation effect, ab
This [attachment:boot.doc word document] gives details of how to obtain a bootstrap confidence interval for ab. Bootstrapping has the advantage of not assuming normality ie not requiring a large sample. An example file is given [attachment:booteg.xls here.] This includes input data in sheets 1 and 2 and a bootstrap output spreadsheet (Bootraw4) containing results of estimating ab from 1000 bootstrap samples. In this example the bootstrap 95% confidence interval given in the Bootraw4 spreadsheet is (-1.56, 0.4) suggesting there is no statistically significant mediation effect.
To use this spreadsheet you will first have to download a bootstrap macro from [http://www3.wabash.edu/econometrics/EconometricsBook/Basic%20Tools/ExcelAddIns/bootstrap.htm this website] onto your PC to be added into EXCEL (instructions are given on the website and are also given in the Word document [attachment:bootmac.doc here).]