within-subjects designs

Analyzing Data from Within-Subjects Designs: Multivariate Approach vs. Linear Mixed Models Approach

Note I’m not done with this post yet. Don’t trust my content here too much and lower expectations about how much I explain here! Within-Subjects Design In a within-subjects design, subjects give responses across multiple conditions or across time. In other words, measures are repeated across levels of some condition or across time points. For example, subjects can report how happy they feel when they see a sequence of positive pictures and another sequence of negative pictures.

Testing Within-Subjects Contrasts (Repeated Measures) in R

Within-Subjects Design In a within-subjects design, subjects give responses across multiple conditions or across time. In other words, measures are repeated across levels of some condition or across time points. For example, subjects can report how happy they feel when they see a sequence of positive pictures and another sequence of negative pictures. In this case, we’d observe each subjects’ happiness in both positive and negative conditions. As another example, we could measure subjects’ job satisifcation every month for 3 months.