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Data Recording, Analysis and Presentation

Parametric criteria and choosing a non-parametric test

  • 4 things to know
  • Component 01

Overview

Recall questions on the criteria for parametric tests, the criteria for the Mann-Whitney U, Wilcoxon, Chi-square, Binomial Sign and Spearman's rho tests, choosing a test for example studies, and comparing observed and critical values.

What you need to know

Answer each one before you reveal it.

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Which test suits an independent measures study comparing recall scores in a quiet and a noisy room?

Key term

State the three criteria for using a parametric test.

Key term

Which test suits a study comparing how many men and how many women helped a stranger?

Key term

For Chi-square and Spearman Rho, what must be true of the observed value for the result to be significant?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    State the three criteria for using a parametric test.

    Model answer

    The data must be at interval level, drawn from a normally distributed population, and the two sets of scores must have similar variances.

  2. 2

    Give one advantage of a parametric test over a non-parametric test.

    Model answer

    It is more powerful, so it is more likely to detect a genuine effect that is present in the data.

  3. 3

    State the criteria for using the Mann-Whitney U test.

    Model answer

    It is used to test for a difference where the design is independent measures and the data are at least ordinal.

  4. 4

    State the criteria for using the Wilcoxon Signed Ranks test.

    Model answer

    It is used to test for a difference where the design is repeated measures or matched participants and the data are at least ordinal.

  5. 5

    State the criteria for using the Chi-square test.

    Model answer

    It is used to test for a difference or an association where the data are nominal frequencies and the sets of data are independent.

  6. 6

    State the criteria for using the Binomial Sign test.

    Model answer

    It is used to test for a difference where the design is repeated measures or matched participants and the data are nominal.

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