Titlebook: An Introduction to Multivariate Techniques for Social and Behavioural Sciences; Spencer Bennett,David Bowers Book 1976 Spencer Bennett and

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FLINT

irreparable

跳動

https://doi.org/10.1007/978-3-663-13503-6 rather different problem, that in which several groups of objects or persons are measured on the same set of variables. The principal question to be answered is can the groups be differentiated on the basis of the measures obtained from the set of variables? This chapter describes a number of ways of approaching this and other related problems.

Talkative

加劇

Factor Analysis: the Centroid Method,uous 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.

Hirsutism

Principal Factor Analysis,ds of analysis, principal factor analysis and principal component analysis. The approach of the two methods is similar and their aim, to aid interpretation of the underlying structure of the interrelationships between variables, is the same. But there is in fact, as we shall see later, a fundamental difference between the two methods.

朋黨派系

他姓手中拿著

https://doi.org/10.1007/978-3-663-02265-7the data resulting from such investigations is not in a metric or quantitative form. Multidimensional scaling is a technique which enables us to convert these non-metric measures into a form suitable for the application of those methods of factor analysis discussed previously.

Calibrate

Multidimensional Scaling,the data resulting from such investigations is not in a metric or quantitative form. Multidimensional scaling is a technique which enables us to convert these non-metric measures into a form suitable for the application of those methods of factor analysis discussed previously.