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In this video we will discuss how to evaluate the strengths of your method.

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Depending on your topic and investigation there are many different aspects

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that this evaluation can include. Here we will talk about two areas that are relevant to practically

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all investigations. Precision and the overall validity and reliability of your method and data.

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This section is marked under the evaluation criterion. Precision means that your readings

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have small random errors. The best way to ensure precision is to do several trials and to examine

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uncertainties in the data. Let's see this in the example IA. In our experiment we carried out five

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trials for each value of the independent variable. The first indicator of high precision is that the

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dependent variable values in each column are very close to each other. This is further confirmed

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by low absolute uncertainty and percentage uncertainty values. I summarize these findings

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under the method strength section in the evaluation subsection. Finally I state any other evidence

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that confirms the overall reliability of my method and data. This can vary depending on your

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investigation. In this example validity and reliability are further confirmed by findings

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of other similar investigations. In general when considering validity and reliability aim to compare

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your results to the findings of others. This completes step seven action three now you know

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how to evaluate the strengths of your method. In the next video we will talk about how to discuss

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errors and possible improvements.