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There is a lack of methods to handle dichotomous logitudinal categorical data in psychological tests. This book consists of two articles based on the dichotomous logistic model of Rasch and the logistic regression. They are extensions of these methods. The complete Mathematica code to perform these calculations is presented. The author: Marco Schuchmann was born 1969 in Groß-Gerau, Germany. He studied Mathematics in Darmstadt. He is author of several books in statistics and engineering mathematics. Today he works at the University of Applied Sciences in Darmstadt. Werner Sanns was born 1950 in Heidelberg, Germany. He studied Mathematics and Astronomy in Heidelberg and Munich. He is author of several books in statistics and engineering mathematics. Today he works at the University of Applied Sciences in Darmstadt
Nákup knihy
Extended methods of probabilistic test theory for longitudinal data, Marco Schuchmann
- Jazyk
- Rok vydání
- 2000
Doručení
Platební metody
Navrhnout úpravu
- Titul
- Extended methods of probabilistic test theory for longitudinal data
- Jazyk
- anglicky
- Autoři
- Marco Schuchmann
- Vydavatel
- Ibidem-Verl.
- Rok vydání
- 2000
- ISBN10
- 3898210219
- ISBN13
- 9783898210218
- Kategorie
- Psychologie
- Anotace
- There is a lack of methods to handle dichotomous logitudinal categorical data in psychological tests. This book consists of two articles based on the dichotomous logistic model of Rasch and the logistic regression. They are extensions of these methods. The complete Mathematica code to perform these calculations is presented. The author: Marco Schuchmann was born 1969 in Groß-Gerau, Germany. He studied Mathematics in Darmstadt. He is author of several books in statistics and engineering mathematics. Today he works at the University of Applied Sciences in Darmstadt. Werner Sanns was born 1950 in Heidelberg, Germany. He studied Mathematics and Astronomy in Heidelberg and Munich. He is author of several books in statistics and engineering mathematics. Today he works at the University of Applied Sciences in Darmstadt