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Exercise

Internet click-throughs

A common theme throughout this course has been the nestedness of data. During this case study, you will examine the number of users who click through on a link to a website before and after a redesign. These users are nested within trial groups. You will then examine the outputs and make a recommendation to your client.

For this redesign, you will examine the web behavior of 10 people from 4 different focus groups, for a total of 40 people. You want to know if the number of clicks to different pages changed from the old to the new webpage while correcting for groups.

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  • Fit a glmer() where clicks is predicted by webpage using group as a random-effect and the data.frame user_groups. Be sure to use the '"poisson"' family. Save the model as glmer_out
  • Look at the summary() of the model.
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