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Direct linkLinting, Marielle; Meulman, Jacqueline J.; Groenen, Patrick J. F.; van der Kooij, Anita J. – Psychological Methods, 2007
Principal components analysis (PCA) is used to explore the structure of data sets containing linearly related numeric variables. Alternatively, nonlinear PCA can handle possibly nonlinearly related numeric as well as nonnumeric variables. For linear PCA, the stability of its solution can be established under the assumption of multivariate…
Descriptors: Multivariate Analysis, Computation, Nonparametric Statistics, Statistical Bias
Tonidandel, Scott; Overall, John E. – Psychological Methods, 2004
A split-sample replication criterion originally proposed by J. E. Overall and K. N. Magee (1992) as a stopping rule for hierarchical cluster analysis is applied to multiple data sets generated by sampling with replacement from an original simulated primary data set. An investigation of the validity of this bootstrap procedure was undertaken using…
Descriptors: Computer Software, Sampling, Multivariate Analysis, Computation
