How to explain the specific indirect effects in SmartPLS?
Posted: Tue Dec 01, 2020 12:51 pm
Dear all,
I ran a model in SmartPLS-3 and looked at the specific indirect effect, as follows:
Relationships : X →Y → Z
Effect size : 0.16
Confidence intervals : 2.5% = 0.04, 97.5% = 0.28
p value = 0.09
Result = Not Supported / supported??
My question is, what I can infer from the results. The bias-corrected confidence intervals do not include a zero, so to me, this is mediation. However, the P-value is larger than 0.05. Should I accept or reject the mediation hypothesis?
Thanks in advance.
I ran a model in SmartPLS-3 and looked at the specific indirect effect, as follows:
Relationships : X →Y → Z
Effect size : 0.16
Confidence intervals : 2.5% = 0.04, 97.5% = 0.28
p value = 0.09
Result = Not Supported / supported??
My question is, what I can infer from the results. The bias-corrected confidence intervals do not include a zero, so to me, this is mediation. However, the P-value is larger than 0.05. Should I accept or reject the mediation hypothesis?
Thanks in advance.