Testing Predictive Validity of New Constructs in SPSS, SmartPLS, or AMOS

Predictive validity is a Criterion-related Validity. In criteria-related validity, we check the performance of our operationalization against some criterion.
We usually make a prediction about how the operationalization will perform based on our theory of the construct.
The researcher is primarily interested in some criterion which he wishes to predict. He administers the test, obtains an independent criterion measure on the same subjects and conduct statistical analysis.
Psychologists and organizational researchers usually correlate new traits with external criterion/ independent index such as psycho-physiological functioning, job performance or employee behaviour, to establish predictive validity of new traits (Matthews et al., 2009; Niessen et al., 2018).
#PredictiveValidity #PsychologicalConstructs #ValidityTheory

[@DataChannel4]

@Ch. Mahmood Anwar This is the first-ever video on youtube that explains predictive validity in the perspective of CCA. I am doing in smart pls. Do I need to identify a variable with a set of indicators as a criterion variable? Should the criterion variable be related to my field of study but not already included in variables of my study? Off-video question: Can I handle unbalanced panel data in smart pls?

[@ChMahmoodAnwar]

Yes. It's first 🥇. May be you already have criterion variable in your variables' set or identify a suitable one following Theory.

[@omaryahya1978]

this is two constructs relationship, So if i want to test the predictive validity of all the constructs that i have in my structural model, should i just conduct the path analyses of my structural model and interpret the Beta values and significance ? and what about the Nomological Validity would you demonstrate its procedure in new video? thank you

[@ChMahmoodAnwar]

Hi. Search my lecture titled "Confirmatory Composite Analysis" to learn more on predictive and nomological validity.