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<div>Hi Xiayi,</div>
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<div> The estimates are average causal mediation effect estimates. They do not necessarily correspond to coefficients. Have a look at this paper which gives a non-technical overview of causal mediation analysis: <a href="http://imai.princeton.edu/research/mediationP.html">http://imai.princeton.edu/research/mediationP.html</a>
or <a href="http://imai.princeton.edu/research/BaronKenny.html">http://imai.princeton.edu/research/BaronKenny.html</a></div>
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<div>Best,</div>
<div>Kosuke</div>
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<div>---------------------------------------------------------<br>
Kosuke Imai Office: Corwin Hall 036<br>
Professor Phone: 609-258-6601<br>
Department of Politics Fax: 609-258-1110<br>
Princeton University Email: <a href="mailto:kimai@Princeton.Edu">kimai@Princeton.Edu</a><br>
Princeton, NJ 08544-1012 <a href="http://imai.princeton.edu/">http://imai.princeton.edu</a><br>
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<div>On Nov 25, 2013, at 12:47 PM, Ke, Xiayi <<a href="mailto:x.ke@ucl.ac.uk">x.ke@ucl.ac.uk</a>> wrote:</div>
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Dear Kosuke Imai,<br>
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I have been using your mediation analysis methods and software recently. I am wondering whether you can kindly advice me when the non-parametric bootstrapping option is used, what are the effect size "estimates" standing for, how are they obtained (from standardized
regression coefficient beta?), and what is the best way to interpret them? I guess their values can only vary between 0 and 1?<br>
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I look forward to hearing from you.<br>
<br>
BW,<br>
<br>
Xiayi.</div>
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