The article compares methodologies for assessing the validity of effect and causal indicators in structural equation models. A difference is found between composite and causal indicators and it is suggested validity is most relevant to causal indicators. Validity assessment of indicators is said to be dependent on an adequate model fit and on the stability of the parameter estimates for the latent variables of indicators as they appear in different models. Given that fit and stability, validity can be assessed.