I need help to differentiate between the levels of measurement by providing an example of data that can be transformed from one level of measurement to another and another example of data that cannot be transformed.© BrainMass Inc. brainmass.com July 16, 2018, 8:23 pm ad1c9bdddf
Hi. As I understand it, you need help in putting together information on levels of measurement as used in experimental psychology, the difference between transformable and non-transformable data and an example of both. I think that what is important here is to present an applicable answer that is easy enough to understand so that you can apply it in your research. I suggest using this outline:
1. Levels of measurement
2. Transformable data
3. Non-transformable data
4. An example that exemplifies data transformation and non-transformation
This outline should cover what you need. If you need to have a much lengthier discussion, you can always expand on the talking points. You can use the listed resources to further explore the topic. All the best with your studies.
AE 105878/Xenia Jones
Levels of Measurement
In psychological research, just like in the social sciences, there are 4 levels of measurement which are generally the basis of empirical science. The manner by which data is collected can take on many ways and forms and in psychology, items measured include cognition, perception, disorder, depression, emotions, opinions and other forms of latent construct. What this means is that they can't be measured directly, as when we use a tape measure to determine the height of a table, for example. This means that measurements of such constructs are strategized and this is the reason why there are 4 types which correspond to the purpose of the measure and the context of measurement. Collecting data is always advised to begin from a lower level to a higher level, as I will discuss below. But first, let's discuss the ...
The solution provides information, assistance and advise in tackling the task (see above) of exploring and identifying the varied levels of measurement used in research in a concise and simple manner. How data is transformed in relation to the levels of measurement is also discussed. Resources are listed for further exploration of the topic.