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Cross Validated has plenty of info on this topic; arguably it's a duplicate of some question over there. Check out "Under what conditions should Likert scales be used as ordinal or interval data?" and my synopsis of Bollen and Barb (1981) in this answer. If you have more to say about why this is a question specific to Cognitive Sciences (beyond the ...


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I would like to answer this question from a mathematical point of view. The word "openness" means something that is real and correlated with some other aspects. Let's assume a 3 dimensional space. If we would like to choose the other dimensions as perpendicular to this first one, we could simply define them by their correlation with the first one being 0. ...


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This previous answer talks about evidence for a global or possibly two factor model partially explaining the correlations between the Big 5. In general this global factor may reflect some form of positive, well-being, social adjustment type variance. More generally, having orthogonal factors is desirable from a parsimony perspective. It's useful when ...


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There are no personality models in which the factors are orthogonal in the strict sense of being at 90 degrees from one another, unless an orthogonal rotation method is used to extract them. I think you meant to say that the Big Five factors are less independent (or more strongly inter-correlated) relative to the factors in other models. Whether or not one ...


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To answer your general question, many psychology experiment delivery systems, and even general programming languages could be used to present a set of trials where participants provide responses regarding pairs of visual stimuli. In particular, I've found Inquisit to be a good option if you want to deliver the experiment online. If you examine the task ...


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How many personality factors are there? The history of personality testing can be summarised in terms of an initial period where there was a vast number of personality traits. In response to this, there have been various attempts to synthesise these traits into a smaller number of underlying factors. There is a huge literature on this process (e.g., Digman, ...



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