CRM 2303 Lecture 8: Lect. 8 - Class Survery - Developing Survey Questions
6 Oct 2015
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Document Summary
Types of variables: continuous, discrete, response can take any value (within a given range), e. g. Age, height, weight, or gpa: open-ended, response takes specific fixed values, e. g. Sex, place of birth, or religion: we can code continuous into discrete categories, e. g. Nominal/categorical measures: naming, categorizing variables, assigning numbers to categories is completely arbitrary, mutually exclusive and not ordered. Ordinal measures: the numbers we assign possess order or rank, order has meaning but not the difference between values. Interval-level measurement: equal distance between the measurements, zero does not mean the quality does not exist, can compute means but not ratios (30c is not twice as warm as 15c). Ratio measurement: the differences between points are meaningful, scale has a true zero point, can compute means and ratios.
