Bootstrap CI of standardized coefficients in mediation analysis and Hayes' recommendation
Posted: Fri Oct 11, 2019 5:29 pm
Hello,
I am new to SmartPLS3 and trying to use PLS-SEM for my research for the first time.
While I was working on my model, I had a question about Bootstrap CI of the standardized coefficients of indirect effects. According to Hayes, Bootstrap CIs of standardized coefficients in mediation analysis (indirect effects) have to be interpreted with caution because the bootstrapping procedure does not properly generate the confidence interval for standardized coefficients. I believe there are some published papers (e.g., Cheung, 2009, Preacher & Selig, 2012) and there is a discussion about this topic in FAQs of Hayes' website (http://processmacro.org/faq.html). I believe this is one of the reasons why Hayes recommends to use unstandardized coefficients bootCI and Hayes' PROCESS provides a separate feature that researchers can get a proper confidence interval (i.e., effect size option).
So, here are my questions.
1) Does the bootstrap CI of the standardized coefficient of indirect effects in SmartPLS3 consider Hayes' suggestion? In other words, is it ok to interpret the bootstrap CI for the standardized coefficient of indirect effects as a proper (correct) confidence interval? I believe Hayes suggested that to get a proper bootCI for standardized coefficients, all the bootstrapped samples have to be separately standardized in each bootstrapping process. For example, if I use 5,000 times of iteration, 5,000 samples have to be separately standardized (Cheung, 2009, p. 427).
2) I found that I can get the unstandardized coefficients for indirect effects in IPMA results. Are there any ways that I can get the bootCI for these unstandardized coefficients?
I would like to make sure that the results from SmartPLS3 account for the issue with BootCI for standardized coefficients. If not, I would like to report unstandardized coefficients and their unstandardized boot CI along with standardized coefficients.
Thank you. I look forward to hearing from someone has knowledge on this matter or the developer of SmartPLS3.
I am new to SmartPLS3 and trying to use PLS-SEM for my research for the first time.
While I was working on my model, I had a question about Bootstrap CI of the standardized coefficients of indirect effects. According to Hayes, Bootstrap CIs of standardized coefficients in mediation analysis (indirect effects) have to be interpreted with caution because the bootstrapping procedure does not properly generate the confidence interval for standardized coefficients. I believe there are some published papers (e.g., Cheung, 2009, Preacher & Selig, 2012) and there is a discussion about this topic in FAQs of Hayes' website (http://processmacro.org/faq.html). I believe this is one of the reasons why Hayes recommends to use unstandardized coefficients bootCI and Hayes' PROCESS provides a separate feature that researchers can get a proper confidence interval (i.e., effect size option).
So, here are my questions.
1) Does the bootstrap CI of the standardized coefficient of indirect effects in SmartPLS3 consider Hayes' suggestion? In other words, is it ok to interpret the bootstrap CI for the standardized coefficient of indirect effects as a proper (correct) confidence interval? I believe Hayes suggested that to get a proper bootCI for standardized coefficients, all the bootstrapped samples have to be separately standardized in each bootstrapping process. For example, if I use 5,000 times of iteration, 5,000 samples have to be separately standardized (Cheung, 2009, p. 427).
2) I found that I can get the unstandardized coefficients for indirect effects in IPMA results. Are there any ways that I can get the bootCI for these unstandardized coefficients?
I would like to make sure that the results from SmartPLS3 account for the issue with BootCI for standardized coefficients. If not, I would like to report unstandardized coefficients and their unstandardized boot CI along with standardized coefficients.
Thank you. I look forward to hearing from someone has knowledge on this matter or the developer of SmartPLS3.