PLS SEM on a non-complex model?

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zd18
PLS Junior User
Posts: 4
Joined: Thu Jul 26, 2018 1:24 pm
Real name and title: zul PLS beginner

PLS SEM on a non-complex model?

Post by zd18 » Mon Nov 11, 2019 2:41 am

Hello everyone,

I have been using PLS SEM for 4 years now. I have been writing articles, and the models are usually complex with higher models, mediating/moderating variables, theory development etc. Recently, I've collaborated with a co-author on an agricultural paper and I suggested on the use of PLS SEM rather than SPSS. But I have failed to consider why PLS SEM as it became a habit to use the software each time I write. The agriculture paper is not complex at all. We used PCA to come up with dimensions and from there, used the dimensions to predict the dependent variable. We sent to a journal and one of the feedbacks given was "Why use PLS SEM?". I could not think of any other reasons besides predictive/causal effect reasoning. The sample size of this paper is also large (n = 500). Anyone here could help us on how to tackle this? Thanks.

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