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Planning and Conducting Research

Independent measures and matched participants designs

  • 3 things to know
  • Component 01

Overview

Recall questions on independent measures and matched participants designs, their strengths and weaknesses, reducing participant variables, choosing a design for a study, randomisation, and how design affects the choice of statistical test.

What you need to know

Answer each one before you reveal it.

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Evaluation

Which design needs the most participants to gather the same amount of data, and why?

Study

A researcher tests whether background noise affects proofreading, but participants are hard to recruit. Which design is most suitable and why?

Key term

Describe an independent measures design.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Describe an independent measures design.

    Model answer

    Different participants take part in each condition, with each person contributing data to only one condition.

  2. 2

    Give one strength of an independent measures design.

    Model answer

    There are no order effects, because no participant experiences more than one condition.

  3. 3

    Give one weakness of an independent measures design.

    Model answer

    Differences between the people in each group may confound the results, since participant variables are not controlled.

  4. 4

    How can the effect of participant variables be reduced in an independent measures design?

    Model answer

    By allocating participants to conditions at random, so that individual differences are spread evenly between the groups.

  5. 5

    Which design needs the most participants to gather the same amount of data, and why?

    Model answer

    Independent measures, because each participant supplies data for only one condition.

  6. 6

    Describe a matched participants design.

    Model answer

    Different participants take part in each condition, but each person is paired with someone in the other condition who is similar on variables relevant to the study.

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