Factor Analysis Assignment: KMO And Bartlett's Test
Factor Analysis Assignment 1. The principal component analysis is the approach that is used for data reduction and creation of one or more than one index variables from the large number of variables. This happens with the use of linear combination of variables. The index variable that is created from this analysis is called components. 2. While, the Factor Analysis is the approach that is used for data reduction in different way than principal component analysis. It is the measurement model of latent variable. This cannot be measured directly with one variable rather, it is observed through the relationship between x and y variables. The general approach (Kaiser) is to retain factors with eigenvalue ≥ 1 and eliminate factors with eigenvalue < 1 and this approach is used to determine the number of factors using eigenvalues. 3 Factor Analysis KMO and Bartlett 's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .550 Bartlett 's Test of Sphericity Approx. Chi-Square 57.994 df 21 Sig. .000 Communalities Initial Extraction Quiet evening at home 1.000 .818 Always check prices 1.000 .796 Magazines rather than movies 1.000 .790 Not buy billboard products 1.000 .800 Homebody 1.000 .805 Save and cash coupons 1.000 .841 Advertising is waste 1.000 .796 Extraction Method: Principal Component Analysis. Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total % of Variance Cumulative % Total % of
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