Causal-Comparative Designs
• In a Causal-Comparative Study, the first step is to construct frequency polygons. • Means and SD are usually calculated if the variables involved are quantitative. • The most commonly used inference test is a t-test for differences between means. • Results should always be interpreted with caution since
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