Hello! I had some questions in trying to apply CEM to mediation analysis. SEM methods work fine with the CEM weights so that on the surface, mediation seems easy. However, I am not sure that the standard errors are correct. In mediation analyses, it is recommended to do bootstrapping instead of using the output z-values and corresponding p-values as mediated variables often do not follow normal distributions to be highly conservative. I have thought of doing bootstrapping with the weights just on the matched sample but am not if this is the correct approach. For example, https://www.stata.com/statalist/archive/2012-02/msg00822.html <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.stata.com_statalist_archive_2012-2D02_msg00822.html&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=6YSa1z0dh30dw09yY3heEd5ah4xg8OpOE9fxPgTq85Y&m=uWTuLm3k0uGMsUk2FO6sCPfKeN3y2WekWn7QIdsRE4o&s=QQAx5ezTRfUgoXdOvsj-epSFsiiBnoQ6oFNeBQo6ZhA&e=> suggests that bootstrapping needs to be done more complicatedly in order to correctly incorporate variability. In sum, I would like to get some feedback on how to correctly do mediation (and mediated moderation) analysis using CEM. Even if complete answers are not possible, I would still truly appreciate any kind of related information. Thank you in advance. Best, Yon Soo Suh - -- cem Mailing List, served by HUIT Send messages: cem(a)lists.gking.harvard.edu [un]subscribe Options: http://lists.gking.harvard.edu/?info=cem More information on cem: http://gking.harvard.edu/cem Cem mailing list Cem(a)lists.gking.harvard.edu To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/cem