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Author Question: Explain how data entry is complicated with a within-subjects design, which calls for a repeated ... (Read 104 times)

lracut11

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on: Jun 28, 2018
Explain how data entry is complicated with a within-subjects design, which calls for a repeated measures analysis.

Question 2

A __________ is a group of customers who love their brand so much that they like to connect with other customers who think like themselves.
 a. brand group
  b. brand community
  c. brand ambassador group
  d. brand conglomerate


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cuttiesgirl16

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Reply #1 on: Jun 28, 2018
Answer to Question 1

A within-subjects design calls for a repeated measures analysis. This complicates things a bit in several ways. Not the least is how to enter the data. Is each row in a data set going to constitute an individual observation or is each row going to constitute all observations on each subject? The first approach would involve stacking individual observations on top of one another. If a subject were measured four times, four rows of data are needed to represent that entire response. More typically, data analysts do not stack the responses for repeated measures and instead use one row to represent all measures for a subject. By avoiding stacking, the data are in a more user friendly format for most statistical software including SPSS and JMP.

Answer to Question 2

b


lracut11

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Reply #2 on: Jun 28, 2018
Thank you :)


cuttiesgirl16

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Reply #3 on: Jun 28, 2018
Happy to help you


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