Levels of Measurment

• What are the three levels of measurement for quantitative data?

  Nominal, ordinal, and interval
• What does nominal data represent?

  Categories where each item can only appear in one category
• Why does nominal data not enable sensitive analysis?

  Because it does not yield a numerical result for each participant
• What is an example of ordinal data?

  A ranking scale from 1 to 10
• What is a weakness of ordinal data?

  It lacks precision due to being based on subjective opinions
• What characterizes interval data?

  It is based on numerical scales with equal units of precisely defined size
• Why is interval data considered the most sophisticated form of data?

  Because it is based on objective measures
• What is required for the use of a parametric test?

  Interval data
• What are the appropriate measures for each level of data?

  • Nominal: Mode
  • Ordinal: Median
  • Interval: Mean
• What measures of dispersion are associated with each level of data?

  • Nominal: n/a
  • Ordinal: Range
  • Interval: Standard Deviation
• What is the measure of central tendency for nominal data?

  Mode
• What is the measure of central tendency for ordinal data?

  Median
• What is the measure of central tendency for interval data?

  Mean
• What is the measure of dispersion for ordinal data?

  Range
• What is the measure of dispersion for interval data?

  Standard Deviation