SEM in JASP
Hello!
I am new to this forum and if this is not appropriate, please accept my apologies.
For my master thesis I would like to calculate a SEM like Manis & Choi (2019) (https://ktmanis.com/wp-content/uploads/2018/10/abc.pdf). I would like to use the same model and test for the same parameters. I also have adopted the attached questionnaire. The questionnaire was completed 315 times in total (285 in the study).
If I now try to run PLS SEM in JASP, I get a bad model fit. If I perform only one SEM (like in the study), the model does not converge.
I've tried different things over the past two weeks and I am starting to get desperate. I am new to statistics - so any help would be massivly appreciated!!
The code I used for the Model (hopefully alining with the model showed in Manis & Choi (2019):
AgeM =~ Age
PerceivedEnjoyment =~ PE1 + PE2 + PE3 + PE4
IntentionUse =~ IU1 + IU2 + IU3 + IU4
IntentionPurchase =~ IP1 + IP2 + IP3 + IP4
Curiosity =~ CU1 + CU2 + CU3 + CU4
AttitudeUse =~ AU1 + AU2 + AU3 + AU4 + AU5
Price =~ PP1
PastUseM =~ PastUse
PerceivedUsefulness =~ PU1 + PU2 + PU3 + PU4 + PU5
AttitudePurchase =~ AP1 + AP2 + AP3 + AP4 + AP5
PerceivedEaseUse =~ PEU1 + PEU2 +PEU3 + PEU4 + PEU5
IntentionPurchase ~ PerceivedUsefulness + PerceivedEnjoyment + AttitudePurchase
IntentionUse ~ AttitudeUse + PastUseM
AttitudePurchase ~ PerceivedUsefulness + PerceivedEnjoyment + PerceivedEaseUse
AttitudeUse ~ PerceivedUsefulness + PerceivedEnjoyment + PerceivedEaseUse
PerceivedEnjoyment ~ Price + PerceivedEaseUse
PerceivedUsefulness ~ AgeM + PastUseM + Price + PerceivedEnjoyment + PerceivedEaseUse
PerceivedEaseUse ~ AgeM + Curiosity + PastUseM + Price
Comments
at a minimum I'm guessing you have a problem with these 3 factor definitions, as these are phantom constructs, and I can't imagine this is the right syntax for them (specifically, you probably need to add some constraint on them, like AgeM =~ 1*Age for example). You can google phantom constructs with lavaan in R (JASP uses the lavaan library)
Also make sure your variables in your dataset (leftmost panel in JASP) are scale variables, i.e. with an orange ruler icon (not ordinal)
Hey patc3!
Thank you so much for your answer! Should I change the varibles despite this is a ordinal data?