22 Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining Jay Magidson and Jeroen K. Vermunt Statistical Innovations Inc., USA, and Tilburg University, The Netherlands - K factor - Document - PDFSEARCH.IO

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	22 Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining Jay Magidson and Jeroen K. Vermunt Statistical Innovations Inc., USA, and Tilburg University, The Netherlands Add to Reading List Document Date: 2006-09-05 12:12:55 Open Document File Size: 383,76 KB Share Result on Facebook Company CRC Press LLC / Jeroen K. Vermunt Statistical Innovations Inc. / The Basic LC / Estimating LC / Factor LC / exploratory LC / / Country United States / Netherlands / / Currency USD / / Event Product Issues / Product Recall / / Facility Tilburg University / / IndustryTerm data mining / confirmatory applications / / Organization Tilburg University / / Person Carl Jung / Jay Magidson / Karl Jung / / Position pathologist / / Product Samsung S73 Digital Camera / equation / / Technology Data Mining / Newton-Raphson algorithms / / SocialTag Psychometrics Multivariate statistics Econometrics Factor analysis Logistic regression Linear regression Latent class model Latent variable Varimax rotation Statistics

22 Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining Jay Magidson and Jeroen K. Vermunt Statistical Innovations Inc., USA, and Tilburg University, The NetherlandsAdd to Reading List