Analysis of multivariate social science data / by David J Bartholomew

By:

Bartholomew, David J

Material type: Text

TextLanguage: English Series: Statistics in the social and behavioral sciences seriesPublication details: Chapman and Hall/CRC , 2008. Boca Raton:Edition: 2nd edDescription: xi, 371 pISBN:

9781584889601

Subject(s):

DDC classification:

519.535 ANA

Contents:

1: Setting the Scene-- 2: Cluster Analysis-- 3: Multidimensional Scaling-- 4: Correspondence Analysis-- 5: Principal Components Analysis-- 6: Regression Analysis-- 7: Factor Analysis-- 8: Factor Analysis for Binary Data-- 9: Factor Analysis for OrderedCategorical Variables-- 10: Latent Class Analysis for Binary Data-- 11: Confirmatory Factor Analysis andStructural Equation Models-- 12 : Multilevel Modelling; References; Back cover.

Summary: Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signal.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	Library, SPAB G-1	Non Fiction	519.535 ANA (Browse shelf(Opens below))	Available		009000

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1: Setting the Scene--
2: Cluster Analysis--
3: Multidimensional Scaling--
4: Correspondence Analysis--
5: Principal Components Analysis--
6: Regression Analysis--
7: Factor Analysis--
8: Factor Analysis for Binary Data--
9: Factor Analysis for OrderedCategorical Variables--
10: Latent Class Analysis for Binary Data--
11: Confirmatory Factor Analysis andStructural Equation Models--
12 : Multilevel Modelling; References; Back cover.

Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signal.

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