Why does testing of a hypothesized causal model require a large sample?
a. Many variables are present, so sample size must be large.
b. The research is experimental, so a large multi-site sample is preferred.
c. Causation cannot be demonstrated in a small sample.
d. Differences are often miniscule, and so the effect size is small.
ANS: A
Some studies are designed specifically to test the accuracy of a hypothesized causal model. The model-testing design requires that all variables relevant to the model be measured. A large, heterogeneous sample is required.
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