#quantitative-methods-basic-concepts #statistics
Nominal Scale
- Nominal measurement represents the weakest level of measurement.
- It consists of assigning items to groups or categories.
- No quantitative information is conveyed and no ordering (ranking) of the items is implied.
- Nominal scales are qualitative rather than quantitative.
Religious preference, race, and sex are all examples of nominal scales. Another example is portfolio managers categorized as value or growth style will have a scale of 1 for value and 2 for growth. Frequency distributions are usually used to analyze data measured on a nominal scale. The main statistic computed is the mode. Variables measured on a nominal scale are often referred to as categorical or qualitative variables.
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Subject 2. Measurement Scalescts or events in a systematic fashion. To choose the appropriate statistical methods for summarizing and analyzing data, we need to distinguish between different measurement scales or levels of measurement.
<span>Nominal Scale
Nominal measurement represents the weakest level of measurement. It consists of assigning items to groups or categories. No quantitative information is conveyed and no ordering (ranking) of the items is implied. Nominal scales are qualitative rather than quantitative.
Religious preference, race, and sex are all examples of nominal scales. Another example is portfolio managers categorized as value or growth style will have a scale of 1 for value and 2 for growth. Frequency distributions are usually used to analyze data measured on a nominal scale. The main statistic computed is the mode. Variables measured on a nominal scale are often referred to as categorical or qualitative variables.
Ordinal Scale
Measurements on an ordinal scale are categorized. The various measurements are then ranked in their categories. Measurements with ordinal scales are Summary
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