A key skill when evaluating information is the ability to evaluate the strength of an argument and decide whether it’s reasonable. But what do we mean when we talk about arguments? Pause for a moment to consider the following question. When you have an answer, turn the card to learn more.
Arguments can be divided into two categories:
If premises are true, then conclusions must also be true.
Example : Claire likes cats. Bella is a cat. Therefore, Claire likes Bella.
If premises are true or have a high likelihood of being true, then conclusions are likely to be true, but not guaranteed.
Example: In most cases, where there is smoke, there is fire. There is smoke on the mountain. Therefore there is probably a fire on the mountain.
Let’s explore through an example the different ways deductive and inductive arguments are constructed and analysed.
Deductive | Inductive |
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Observation – a phenomena is observed
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Observation – a phenomena is observed
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Theory – is developed to explain why it occurred
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Data is collected to determine the possible reasons for this trend
Trends in data
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Explanation – theory is analysed/tested and either accepted, rejected or revised
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Theory
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Arguments can be evaluated by following four steps:
Evaluating arguments can be difficult at first. For an example of evaluation in action, watch this video which evaluates a common argument connected to climate change produced by staff at the University of Queensland (and if you’re interested you can read their full paper examining this issue).