"I am unsure which statistical tool is more appropriate for my PhD study - PLS or AMOS. I am using the DTPB model, along with cultural moderating variables, to investigate teachers' intention to incorporate ICT in their teaching practice. My research question aims to understand the factors that influence the adoption of ICT by teachers in the classroom."
Hey Jaber,
I think you are comparing a statistical approach (PLS) to a specific software programme (AMOS) so I don't have an answer to which is 'best'. AMOS is used for standard covariance based latent variable modelling, and as such is hugely flexible and powerful. You get all the benefits of maximum likelihood estimation and model fit statistics. The downside is that you get maximum likelihood estimation and model fit statistics.
Looking at your proposed model I suspect that PLS may be an easier way to specify the 'causal' indicators, but I also suspect that reviewers would ask some tricky questions about why you didn't use a model model testing approach such as latent variable modelling, or SEM, or whatever you want to call it.
This is an intersting articale that applies both methods Article CB-SEM vs PLS-SEM methods for research in social sciences an...
, and there is also a brilliant episode of the Quantitude podcast on PLS. The 'brilliant' was unnecessary as all episode of Quantitude are brilliant.Mark
Check here https://stats4edu.com/services/structural-equation-modeling/
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