Dear all, I am conducting research on the impact of blockchain traceability for charitable donations on donation intentions. One scale/factor measures “likelihood to donate” consisting of 3 items (dependent variable). Another ”trust” factor, consisting of 4 items (potential mediator). Furthermore, a “perception of quality” consisting of 2 items (control). And a scale “prior blockchain knowledge” consisting of 4 items (control). My question is: since all these scales are taken from prior research, is CFA sufficient? Or, since the factors are from different studies (and thus have never been used together in one survey/model) should I start out with an EFA?
I would think that CFA is sufficient since you have a clear idea about which items load onto which factors from previous studies.
As Prof. Geiser commented, for the four variables, given that they are quite distinctive from each other in terms of the content, and have been developed in the previous studies, CFA is sufficient.
Usually, we go for CFA if using scales/constructs from previous research. EFA is appropriate if a new scale has been prepared and we want to ascertain if our items can be combined as a single construct.
***Said nothing new, just adding another affirmation to what Christian and Tae-Yeol said***
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