Abstract
We begin with a matrix or table of correlations between a set of variables. Since we are employing product-moment correlations as our starting-point, it is important that the assumptions underlying their use are met. To re-iterate briefly: ideally, the distributions of the variables should be continuous and reasonably normal (at least they should not be bimodal or markedly skewed); discontinuous variables will be discussed further in Chapter 7. Regression should be linear, and samples should be large (at least several hundred) to ensure reliability of the resulting correlations.
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© 1976 Spencer Bennett and David Bowers
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Bennett, S., Bowers, D. (1976). Factor Analysis: the Centroid Method. In: An Introduction to Multivariate Techniques for Social and Behavioural Sciences. Palgrave, London. https://doi.org/10.1007/978-1-349-15634-4_2
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DOI: https://doi.org/10.1007/978-1-349-15634-4_2
Publisher Name: Palgrave, London
Print ISBN: 978-1-349-15636-8
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