In this video we will discuss how to evaluate the strengths of your method.
Depending on your topic and investigation there are many different aspects
that this evaluation can include. Here we will talk about two areas that are relevant to practically
all investigations. Precision and the overall validity and reliability of your method and data.
This section is marked under the evaluation criterion. Precision means that your readings
have small random errors. The best way to ensure precision is to do several trials and to examine
uncertainties in the data. Let's see this in the example IA. In our experiment we carried out five
trials for each value of the independent variable. The first indicator of high precision is that the
dependent variable values in each column are very close to each other. This is further confirmed
by low absolute uncertainty and percentage uncertainty values. I summarize these findings
under the method strength section in the evaluation subsection. Finally I state any other evidence
that confirms the overall reliability of my method and data. This can vary depending on your
investigation. In this example validity and reliability are further confirmed by findings
of other similar investigations. In general when considering validity and reliability aim to compare
your results to the findings of others. This completes step seven action three now you know
how to evaluate the strengths of your method. In the next video we will talk about how to discuss
errors and possible improvements.