Comments for 22/2/12

http://dnf24.wordpress.com/2011/11/25/mr-qualitative-vs-mrs-quantitative/#comment-52

http://ellies1mpson.wordpress.com/2012/02/17/faking-it/#comment-61

http://leylaosman.wordpress.com/2011/12/09/qualitative-or-quantitative-data/#comment-70

http://ksgs.wordpress.com/2011/12/09/deception/#comment-43

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2 responses to this post.

  1. This was without doubt the clearest, most well written blog I have read this week. Exemplifying how blogs can be concise yet explain a subject with maximum clarity.
    As I do not believe there is a critique needed I will simply add to what you have said. I think it is important to consider that correlation has not ever asserted to show causality, it attempts to describe a relationship, bearing no emphasis on explaining the relationship. The correlation research strategy is a useful tool, that should be employed in certain situations alike the situation you have mentioned in your blog. Those looking for a cause-and-effect relationship should alternatively look to use the experimental research strategy; as its primary purpose is to produce a cause-and-effect explanation for the relationship between tow variables. Despite this, one must be careful not to presume that an experimental research strategy ‘proves’ anything, it can only indicate.
    To summarise my point, research strategies can be visualised as tools. Different tools have different functions, and will only be appropriate in certain situations. Just in the same way that a spirit level cannot be used to hammer a nail into a wall (well it could, but things would get very messy indeed!).
    My analogy highlights why we have different tools, to utilise their strengths in favour of using other tools inappropriately – obtaining poor outcomes. If you are looking for a causal explanation use a different strategy!

    Reply

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