Multi-category Data

Roy Sabo and Edward Boone
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Roy Sabo: Virginia Commonwealth University, Department of Biostatistics
Edward Boone: Virginia Commonwealth University, Department of Statistical Sciences and OR

Chapter Chapter 4 in Statistical Research Methods, 2013, pp 59-78 from Springer

Abstract: Abstract The discrete data we considered in the last two chapters were of the dichotomous nature, where each subject could take one of only two values for some measurement (Yes or No, Success or Failure, etc.). We now generalize to the case where one or more of our variables under consideration has more than two possible values. These types of polytomous or multi-category data are more complicated than their dichotomous brethren, and as such must be handled differently.

Keywords: Null Hypothesis; Patient Satisfaction; Contingency Table; Grade Level; Graduate Program (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-1-4614-8708-1_4

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