Mediation Analysis using AMOS (Mediation Hypothesis Testing)

A Mediator is a variable which connect between Independent and Dependent variable. It is commonly used in social sciences and management related research. Contemporary mediation analysis include analysis of direct, indirect, and total effects. This video is about how to perform mediation analysis using AMOS.
Supporting material available here.
drive.google.com/drive/folder...

[@BurneyBurnerson]

Great and very useful video. Thank you for making and posting. It's also worth noting that by looking at the bootstrapped confidence intervals around your indirect effects, (this is Lower Bound BC and Upper Bound BC) you can infer significant mediation if the range does not contain 0. For example, the indirect effect of PJF > CC > EC was .111***. If the confidence intervals were [.100, .122] then you could also infer significance. However, if the confidence intervals were [-.100, .122] you would not, as this range contains 0. Also useful to know what constitutes a full mediation model, or a partial mediation model. If the direct effect is not significant, but the indirect effect is, this is a full mediation (e.g., the relationship is fully explained by the mediator). If both the direct and indirect effects are significant, then this is partial mediation (e.g., the relationship is partially explained by the mediator). Hope this helps someone!

[@68riyaz]

Very good keep it like that

[@academicgeek6389]

Thank you,

[@shaziahumayun252]

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