Comparing the intelligence test scores among people from distinctly different age cohorts requires

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Comparing different age cohorts requires cross-sectional studies, which involve testing different age groups at the same time and comparing their scores. Factor analysis is a statistical technique used to identify underlying factors that contribute to performance on intelligence tests. Heritability estimates measure the percentage of variation in intelligence scores that can be attributed to genetic factors. Longitudinal studies involve following a group of individuals over time to track changes in intelligence scores, but this method does not allow for direct comparison of scores between different age cohorts.

Comparing the Intelligence Test Scores Among People from Distinctly Different