How does EFA achieves parsimony solutions?
by explaining the maximum amount of variance in the correlation matrix by using the smallest amount of explanatory constructs.
What is PCA concerned with ?
concerned only with establishing which linear components exist within the data and how a particular variable might contribute to that component
what a fundamental advantage that CFA has over EFA
it can control every aspect of the model specifications.
CFA offers a very strong analytic framework for evaluating the equivalence of measurement models across distinct groups
True or False
True
what are changes in the EFA that doesnt affect the results
erasing a participant missing data and reverse scoring.
‣ How can we use data to help decide whether we have a General Factor
of Personality here or not?
- The one overall factor must account for a “great” amount of
variance - Any other factors after the first one should be more marginal
- The OCEAN subscales must relate strongly to the Big One
what does standardized mean ?
first definition: you transform your data into z-scores
second definition:
Controlled administration conditions, normative
information available, interpretation guidelines available, instruction
manual available, carefully vetted (?), and probably costly
