Analysis of Multivariate Social Science Data

David J. Bartholomew

ISBN 10: 1138464546 / ISBN 13: 9781138464544

Published by Taylor & Francis Ltd Aug 2017, 2017

About this Item

Neuware - Exploring how to use key multivariate methods in the social sciences, this book contains three chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents various examples of real-world applications and establishes an approach to latent variable modeling.

Seller Inventory # 9781138464544

Bibliographic Details

• Title: Analysis of Multivariate Social Science Data
• Publisher: Taylor & Francis Ltd Aug 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 1138464546
• ISBN 13: 9781138464544
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 241W x 161H x 28D millimeters 241 millimeters width by 161 millimeters height by 28 millimeters depth
• Weight: 680 grams

About this title

Synopsis

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.

About the Author

David J. Bartholomew, Fiona Steele, Fiona Steele, Irini Moustaki