Calculates the indirect effect from
proximal.med in a form useful to send to
data.frame used in
This function is not useful of itself. It is specifically created as an intermediate step in bootstrapping the indirect effect.
indirect effect that is passed to boot for each bootstrap sample
Thomas D. Fletcher email@example.com
Davison, A. C. & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge, UK: Cambridge University Press.
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104.
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limit for indirect effect: distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99-128.
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