Analysis of Multivariate Social Science Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Bartholomew, David J.; Steele, Fiona; Galbraith, Jane; Moustaki, Irini

ISBN 10: 1138464546 / ISBN 13: 9781138464544

Verlag: Chapman and Hall/CRC, 2017

In. Bestandsnummer des Verkäufers ria9781138464544_new

Inhaltsangabe:

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, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.

Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.

Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.

Über die Autorin bzw. den Autor: David J. Bartholomew, Fiona Steele, Fiona Steele, Irini Moustaki

Bibliografische Details

Titel: Analysis of Multivariate Social Science Data...
Verlag: Chapman and Hall/CRC
Erscheinungsdatum: 2017
Einband: Hardcover
Zustand: New
Auflage: 2. Auflage