Question

statistics: Describe an experiment could be done that would detect both linear relationships and reveal potential interactions among studied variables. in your description, discuss the advantages/disadvantages of between subject vs repeated measures for your experiment. there are no constraints on this for facilities or time. Also, describe the statistical test you'd choose to test hypothesis?

Answer 1

• Between-subjects (or between-groups) study design: different people test each condition, so that each person is only exposed to a single user interface.
• Within-subjects (or repeated-measures) study design: the same person tests all the conditions (i.e., all the user interfaces).

For example, if we wanted to compare two car-rental sites A and B by looking at how participants book cars on each site, our study could be designed in two different ways, both perfectly legitimate:

1. Between-subjects: Each participant could test a single car-rental site and book a car only on that site.
2. Within-subjects: Each participant could test both car-rental sites and book a car on each.