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Craig Taylor's insight:
Pat Spring (Brighton) has identified a novel resource here in the format of a pre-recorded piece of audio. One for the commute?
This resource has been suggested by Cindie Larsen (Copenhagen) and sits within our very own Bupa Live. There's some great conversation taking place here around visualisation of data. (Log In required for Bupa Learn)
A PDF which contains a number of links out to various online resources that can be used to teach quantative reserach methods. Whilst none of you are teaching quantative research, there may well be something within this list that can better your understanding and in turn application of the subject area.
At the time of curating this PDF a small number of the links were not working - USER BEWARE!
Andrea Sorensen (Copenhagen) has suggested this particular resource, however she has spotted a slight discrepancy between the Amazon UK site description of this book and the Amazon Germany site which offers this description.
Perhaps it's worth ordering this from your local library?
The description of the content on the German amazon site (where I found it originally) differs from the one on the UK site. On the German site it is described as being targeted to beginners in data analysis, whereby on the UK site it is stated that some basis knowledge in data analysis should be present before reading the book. However, it should be a book with good graphic explanations and real life examples which makes it easy to understand.
This resource was suggested by Pat Spring (Brighton) who provided the following context behind her choice
The main reason I picked this is it seems to methodically go through each step giving examples from deciding on which approach to conduct the analysis to measuring and summarising the data. It is written by a researcher who has taught on research methods courses at university, so hopefully will be written in language a student can understand. Unfortunately it doesn’t seem to be one of the books you can look into so hoping for some visuals on this too. (If you click on the image on the Amazon page itself, you can take a peek inside the book)
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