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Data Handling and Analysis

Levels of measurement

  • 4 things to know
  • Paper 2

Overview

Nominal, ordinal and interval data, what distinguishes them, and why the level has to be identified before a test can be chosen.

What you need to know

Answer each one before you reveal it.

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Key term

What is the nominal level of measurement?

Key term

What is the ordinal level of measurement?

Key term

What is the interval level of measurement?

Evaluation

Why must the level of measurement be identified first?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is the nominal level of measurement?

    Model answer

    Data sorted into discrete categories that have no inherent order or ranking, such as gender or eye colour.

  2. 2

    Give two examples of nominal data.

    Model answer

    Gender and eye colour.

  3. 3

    What is the ordinal level of measurement?

    Model answer

    Data that can be placed in a meaningful order or rank, but where the intervals between ranks are not necessarily equal.

  4. 4

    Provide two examples of ordinal data.

    Model answer

    Positions in a race and ratings on a Likert scale.

  5. 5

    Why are the intervals between ordinal data points considered problematic for certain calculations?

    Model answer

    Because the intervals between ranks are not necessarily equal, so the difference between adjacent ranks may vary.

  6. 6

    What is the interval level of measurement?

    Model answer

    Data with equal intervals between values on the scale, allowing for meaningful comparison of differences.

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