Researchers who want to test causal hypotheses about a set of relationships involving age and other variables are likely to use which specific type of design?

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Structural equation modeling (SEM) is a comprehensive statistical approach that is used for testing hypotheses about the relationships among observed and latent variables. It allows researchers to test complex causal relationships and can incorporate multiple independent and dependent variables, making it suitable for examining the relationships involving age and other variables in a causal framework.

Researchers Who Want to Test Causal Hypotheses About a Set