Scales of Measurement
One of the most important schemes for classifying a variable involves its scale of measurement. Data generally fall within four different scales of measurement: nominal; ordinal; ratio; and interval. Before analyzing a dataset, it is important to determine which scales of measurement were used because certain types of statistical procedures require specific scales of measurement. In this text, each chapter that deals with a specific statistical procedure specifies what scale of measurement is required. The researcher must determine scales of measurement for study variables before selecting which statistical procedures to use.
Nominal Scales
A nominal scale is a classification system that places people, objects, or other ...
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