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Multivariate Procedures (II) in NCSS
Introduction
Loglinear models techniques are used to analyze the relationships among the factors in a multi-way contingency table. Several model selection techniques, goodness of fit tests, and parameter estimation reports are provided.
Multidimensional scaling is a technique that creates a map displaying the relative positions of a number of objects, given only a table of the distances between them. The program calculates either the metric or the non-metric solution.
Correspondence analysis is a technique for graphically displaying a two-way contingency table by calculating coordinates representing its rows and columns. These coordinates are analogous to factors in a factor analysis.

Features
| Loglinear Models > Automatic model selection > Delta value for zero cells > Estimated effects > Goodness of fit statistics > Hierarchical models > Likelihood ratio tests > Pearson chi-square tests > Residual analysis > Up to seven factorsMultidimensional Scaling > Classical (metric) scaling > Dissimilarity and correlation input > Eigenvalue report > Kruskal’s stress statistic > Non-metric scaling |
Correspondence Analysis > Chi-square contributions > Column/row profiles > Coordinates report > Eigenvalues > Mass values > Point quality index > Supplementary rows > Variable/profile correlationClick here to see more Multivariate procedures available in NCSS. |
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