April 2017
Intermediate to advanced
560 pages
20h 58m
English
When designing an experiment, researchers need to determine the dependent and independent variables and how to measure or control those variables. There are three commonly adopted designs in human-computer interaction (HCI) studies: the between-group design, the within-group design, and the split-plot design. The between-group design is cleaner, avoids the learning effect, and is less likely to be affected by fatigue and frustration. But this design is weaker due to the high noise level of individual differences and usually requires larger number of participants. The within-group design effectively isolates individual differences and, therefore, is a much stronger test than the between-group design. Another ...
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