Multivariate Statistical Analysis: A Conceptual Introduction |
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Page 237
... Factor analysis is just such a data reduction technique . It is a family of procedures for removing the redundancy from a set of correlated variables and representing the variables with a ... FACTOR ANALYSIS 237 Overview of factor analysis,
... Factor analysis is just such a data reduction technique . It is a family of procedures for removing the redundancy from a set of correlated variables and representing the variables with a ... FACTOR ANALYSIS 237 Overview of factor analysis,
Page 239
... factor analysis of information provided by a sample of applicants on a long list of variables ranging from high school grades to interests in various hobbies . Sample variables from each ... factor , the APPLICATIONS OF FACTOR ANALYSIS 239.
... factor analysis of information provided by a sample of applicants on a long list of variables ranging from high school grades to interests in various hobbies . Sample variables from each ... factor , the APPLICATIONS OF FACTOR ANALYSIS 239.
Page 258
... factor - naming process , for if the factors are so intuitively clear then how could there be any difficulty in naming them appropriately . Also , it is one thing to make such ... factor matrix for the factor analysis 258 FACTOR ANALYSIS.
... factor - naming process , for if the factors are so intuitively clear then how could there be any difficulty in naming them appropriately . Also , it is one thing to make such ... factor matrix for the factor analysis 258 FACTOR ANALYSIS.
Contents
FUNDAMENTAL CONCEPTS 1 Introduction | 1 |
Objects variables and scales | 8 |
Frequency distributions | 21 |
Copyright | |
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alternative analysis of variance application associated average calculated central tendency chapter cluster analysis composite outcomes concept confidence interval consider correlation analysis correlation coefficient criterion groups criterion variable cutoff score degrees of freedom determine dichotomous discriminant analysis discriminant function discriminant scores equal example experimental variable F ratio factor analysis factor loadings frequency distribution groups variance high loading hypothesis identify individual input variables inter-object similarity interaction interpretation measured median multiple correlation non-risks normal distribution number of observations number of variables occur package color pair prediction probability random variables regression analysis regression equation regression line relationship represent respective rotation sample mean sample space sample statistics sampling distribution scale set of objects set of variables shelf space shown in Figure similarity matrix simple outcomes spice sales squared deviations standard deviation standard error statistical analysis Table technique test scores tion Value on variable variance estimate variation