Abstract
No abstract.
Highlights
73 factor, and individual factor scores higher than the mean are considered ‘significant’
One of the ways it expresses its results is through scattergrams, as in Figure 2, reproduced for illustrative purposes [the actual content of these scattergrams is rubbish!]
What does a scattergram tell us? Scores close to the diagonal show that actual occurrences are close to the calculated probabilities, so that, for the data represented by the squares, there are no significant factors; for scores way off the diagonal, there are significant factors, because the actual behaviour is at odds with the probabilistic behaviour
Summary
73 factor, and individual factor scores higher than the mean are considered ‘significant’. VARBRUL worked for her, because semantic equivalence could be assumed.
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