Analysis of multivariate social science data /
Bartholomew, David J
Analysis of multivariate social science data / by David J Bartholomew - 2nd ed. - Boca Raton: Chapman and Hall/CRC , 2008. - xi, 371 p. - Statistics in the social and behavioral sciences series. .
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.
9781584889601
PL
519.535 / ANA
Analysis of multivariate social science data / by David J Bartholomew - 2nd ed. - Boca Raton: Chapman and Hall/CRC , 2008. - xi, 371 p. - Statistics in the social and behavioral sciences series. .
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.
9781584889601
PL
519.535 / ANA