Edexcel A-Level Psychology 9PS0
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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.
What does each term in the chi-squared formula represent?
What is nominal data in the context of levels of measurement?
Questions from this subtopic
Each one with the model answer underneath.
- 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
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
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
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
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
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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