Final answer:
A univariate approach focuses on analyzing a single dependent variable, while a multivariate approach considers multiple dependent variables simultaneously in a repeated measures design.
Step-by-step explanation:
A univariate approach to the analysis of a repeated measures design focuses on analyzing a single dependent variable across multiple time points or conditions. This approach allows for a detailed examination of the changes in that variable over time or across different conditions.
On the other hand, a multivariate approach considers multiple dependent variables simultaneously. This allows for the examination of relationships between different variables and how they may change together over time or across different conditions.
For example, let's say we are studying the effectiveness of a new teaching method on students' math skills. In a univariate approach, we would analyze only the math scores of the students before and after the intervention. In a multivariate approach, we might also consider variables like students' motivation, confidence, and attitudes towards math.