Levels Of Measurement

Cards (19)

  • What is the purpose of levels of measurement in psychology?
    To decide what data to record and measure
  • What types of data might psychologists record?
    Raw data, rating scales, precise measurements
  • What are the three types of data discussed in the video?
    Nominal, ordinal, and interval data
  • What is nominal data?
    • Data referring to categories
    • Also called categorical data
    • Example: pet ownership frequency
  • How is nominal data collected in the pet ownership example?
    By counting the number of pets in categories
  • Can we compare differences between categories in nominal data?
    No, categories do not interact meaningfully
  • What is ordinal data?
    • Data that can be ordered
    • Differences between points are not equal
    • Examples: race positions, height, happiness scale
  • What does ordinal data allow us to do?
    Order data points but not measure differences
  • What is interval data?
    Data with equal units of measurement
  • What is an example of interval data?
    Measuring length in millimeters
  • What is ratio data?
    Interval data with an absolute zero point
  • Why is temperature in degrees Celsius considered interval data?
    It can have negative values
  • How can nominal, ordinal, and interval data describe a race?
    • Nominal: Competitors' countries of origin
    • Ordinal: Order of finishers
    • Interval: Time differences between runners
  • What does ordinal data tell us about the race results?
    It shows the order of finishers
  • How does interval data enhance our understanding of the race?
    It shows precise time differences between runners
  • What is the process to convert interval data to ordinal data?
    1. Rank participants from highest to lowest score
    2. Share rank positions for equal scores
  • How do you convert ordinal data to nominal data?
    1. Create separate categories
    2. Divide participants into categories based on rank
  • Why is it important to understand levels of measurement?
    It affects how data is analyzed and interpreted
  • How do the different levels of measurement impact data analysis?
    They determine the precision and type of analysis