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Learning Theories

Chi-squared and levels of measurement

  • 3 things to know
  • Papers 1 and 3

Overview

Recall questions on when chi-squared is chosen, nominal data and contingency tables, degrees of freedom, and comparing observed with critical values.

What you need to know

Answer each one before you reveal it.

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Study

Why is reaction time measured in milliseconds considered interval/ratio data?

Key term

What does each term in the chi-squared formula represent?

Key term

What is nominal data in the context of levels of measurement?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is nominal data in the context of levels of measurement?

    Model answer

    Categorical data with no inherent order or ranking between categories.

  2. 2

    Define ordinal data as a level of measurement.

    Model answer

    Ranked data with a meaningful order between values, but the intervals between ranks are not necessarily equal.

  3. 3

    What characterises interval/ratio data as a level of measurement?

    Model answer

    Data with equal intervals between values; ratio data additionally has a true zero point, allowing meaningful ratios to be calculated.

  4. 4

    Why can you not assume equal differences between positions when using ordinal data?

    Model answer

    Because ordinal data only indicates rank order; the actual magnitude of difference between consecutive ranks may vary and is not quantified.

  5. 5

    Give an example of nominal data that might be collected in a psychology study.

    Model answer

    Participants' gender categories, or whether they chose option A, B, or C in a forced-choice task.

  6. 6

    What distinguishes ratio data from interval data?

    Model answer

    Ratio data has a true zero point (meaning zero represents the complete absence of the variable), whereas interval data has an arbitrary zero point.

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