| Module 2: Describing, Clarifying and Presenting Data
2. Characteristic, Variable and Measurement
2.2. Ensuring measurements are valid, reliable and unbiased
When you are thinking about measurement as it relates to variables, you also need to think about other issues. For instance, you should ask yourself:
- How accurate or unbiased are my measurements?
- How reliable are my measurements? (An average of repeated measurements is usually more reliable than a single measurement.)
Consider again the characteristic ‘intelligence’. The table below outlines how your measurements could be valid, reliable and unbiased?
Ensuring the language that you use does not affect your measurements
The language or terms you use can prejudice the response to questions. Consider, for instance, how responses to a survey might change if the word ‘problem’ is substituted for ‘crisis’, or if ‘termination’ or ‘murder of the foetus’ is substituted for ‘abortion’. Your choice of language can bias a response by suggesting to the respondent which answer they think is correct. It is, therefore, important that the language and terms you use are neutral.
Let’s look at a survey in which the variable used to define a characteristic was criticised as being both biased and invalid.
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The variable that defined what was in was too narrow. This statements suggests that the measurement was:
- invalid
- biased
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The survey was conducted by Levi Strauss. This makes the variable:
- invalid
- biased
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The survey was funded by Levi-Strauss. This would make the variable:
- invalid
- biased
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If students wanted to choose blue jeans, the only choice was Levi 501 jeans. This makes the variable:
- invalid
- biased
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Click here for answers |
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