Applied Multivariate Statistics for the Social Sciences, Pituch Keenan A

Автор: Matthias von Davier; Claus H. Carstensen
Название: Multivariate and Mixture Distribution Rasch Models
ISBN: 1441921966 ISBN-13(EAN): 9781441921963
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science. They cover topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education.

Автор: Sirkin R
Название: Statistics for the Social Sciences
ISBN: 141290546X ISBN-13(EAN): 9781412905466
Издательство: Sage Publications
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Описание: Helps to build students` confidence and ability in doing statistical analysis by moving from concepts that require little computational work to those that require more. This book emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Автор: Pituch
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836654 ISBN-13(EAN): 9780415836654
Издательство: Taylor&Francis
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Автор: Randolph, Karen A.; Myers, Laura L.
Название: Basic Statistics in Multivariate Analysis
ISBN: 0199764042 ISBN-13(EAN): 9780199764044
Издательство: Oxford Academ
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Описание: This pocket guide introduces readers to linear regression analysis, analysis of variance and covariance, and path analysis with an emphasis on the basic statistics. It prepares doctoral students and early career social work researchers with limited statistics exposure in the use of multivariate methods by providing an easy-to-understand presentation.