ISBN: 9783846552452 - some aspects on confirmatory factor analysis of ordinal variables: and generating non-normal data (9 Ergebnisse)

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Taschenbuch. Zustand: Neu. Some Aspects on Confirmatory Factor Analysis of Ordinal Variables | and Generating Non-normal Data | Hao Luo | Taschenbuch | 236 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846552452 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis of ordinal variables as well as in the generation of non-normal data. The first paper studies the performances of different estimation methods used in confirmatory factor analysis when ordinal data are encountered. The second paper also investigates the approach used in confirmatory factor analysis of ordinal data. However, the appropriate estimator of the polychoric correlation is of interest. The third paper, although using the same confirmatory factor analysis model, varies from the first two papers by raising the issue of simultaneous factor analysis. The last two papers shift to the area of generating non-normal data. Starting from the univariate case, the fourth paper assesses the performance of the Fleishman's power method under various conditions of skewness, kurtosis, and sample size. The last paper extends the evaluation of algorithms on generating univariate non-normal data to multivariate non-normal data. 236 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis of ordinal variables as well as in the generation of non-normal data. The first paper studies the performances of different estimation methods used in confirmatory factor analysis when ordinal data are encountered. The second paper also investigates the approach used in confirmatory factor analysis of ordinal data. However, the appropriate estimator of the polychoric correlation is of interest. The third paper, although using the same confirmatory factor analysis model, varies from the first two papers by raising the issue of simultaneous factor analysis. The last two papers shift to the area of generating non-normal data. Starting from the univariate case, the fourth paper assesses the performance of the Fleishman's power method under various conditions of skewness, kurtosis, and sample size. The last paper extends the evaluation of algorithms on generating univariate non-normal data to multivariate non-normal data.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Luo HaoHao Luo received her Ph.D. in Statistics from Uppsala University at 2010. She is currently working as a postdoctoral researcher at the department of Sociology in Tsinghua University. Her research interests are mainly the theor.…

Zustand: New. Print on Demand pp. 236 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Zustand: New. PRINT ON DEMAND pp. 236.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis of ordinal variables as well as in the generation of non-normal data. The first paper studies the performances of different estimation methods used in confirmatory factor analysis when ordinal data are encountered. The second paper also investigates the approach used in confirmatory factor analysis of ordinal data. However, the appropriate estimator of the polychoric correlation is of interest. The third paper, although using the same confirmatory factor analysis model, varies from the first two papers by raising the issue of simultaneous factor analysis. The last two papers shift to the area of generating non-normal data. Starting from the univariate case, the fourth paper assesses the performance of the Fleishman's power method under various conditions of skewness, kurtosis, and sample size. The last paper extends the evaluation of algorithms on generating univariate non-normal data to multivariate non-normal data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.…