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Inferential Testing

Factors affecting the choice of statistical test

  • 5 things to know
  • Paper 2

Overview

The three levels of measurement, the difference between related and unrelated designs, and which test fits each combination of the two.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Evaluation

Why does the choice of statistical test matter?

Key term

Name and define the three levels of measurement.

Key term

Which designs need a related test, and which need an unrelated one?

Process

Which test fits each combination of design and data level?

Key term

What conditions must be met before a parametric test can be used?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is one factor that influences which statistical test a researcher should use?

    Model answer

    Level of measurement (the type of data collected).

  2. 2

    Besides level of measurement, what other factor affects the choice of statistical test?

    Model answer

    Experimental design (whether the design is related or unrelated).

  3. 3

    What is nominal level data?

    Model answer

    Data in discrete categories with no order or ranking between them (e.g., gender, eye colour, experimental condition).

  4. 4

    What is ordinal level data?

    Model answer

    Data that can be ranked or ordered, but the intervals between ranks are not necessarily equal (e.g., positions in a race, rating scales).

  5. 5

    What is interval/ratio level data?

    Model answer

    Data measured on a scale with equal intervals between points, allowing for meaningful mathematical operations (e.g., time in seconds, temperature in °C, test scores with equal intervals).

  6. 6

    Name the three levels of measurement that are relevant when selecting an appropriate statistical test.

    Model answer

    Nominal, ordinal, and interval/ratio.

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