A clear, practical tour of within-subjects design—where the same participants experience all conditions or are measured repeatedly over time. We explore the core idea, key advantages like controlling individual differences and higher statistical power, the main challenges such as carryover effects and how counterbalancing helps, and the analytical tools—repeated measures ANOVA and linear mixed models—that make this design powerful for math education and longitudinal studies.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
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