If you are writing a research paper then you will most likely need to try and gather data and information to help you compose your work. However, not only do need to gather the information, but you will most likely need to analyze it as well. In order to help you do this, you may have several methods available to you, including factor analysis. The following will attempt to give you some handy tips about using factor analysis.
Factor analysis was initially developed for use with psychology, and this largely remains the case to this day. As a result, if you are studying psychology, then it might be appropriate to use of factor analysis - depending upon the title of your work and aims and objectives that you might have. Of course, if you’re not studying psychology, then you may wish to double check to see whether or not you intended to use factor analysis, or whether you have got confused somehow.
As you are probably aware, there are various different types of factor analysis that you can use when analyzing data. As a result, it is important that you try to identify what will be most suitable for your specific needs, so as to maximize your chances of interpreting the data as best as possible. If you already have an idea of which factor analysis type it might be best for you then you might be up to go straight ahead and use it. However, if you have any doubts, then perhaps you should double check the various types available so as to work out which one is best for you.
Ultimately, by using the right type of factor analysis to suit your needs from the beginning, it will save you having to redo any work and will make the process much easier.
As with many things when it comes to analyzing data, it is important that you try to remove subjectivity, so as to be sure that you are analyzing things as objectively as possible. Thankfully, there are various objective criteria available to help you with your analysis; however, it is still important that you maintain an objective viewpoint throughout.
Of course, if you start you subjectivity, then it can skew any results, and lead to a bias that may jeopardize the accuracy of your findings.
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