Analysis of Multivariate Social Science Data
Seiten
2017
|
2nd edition
CRC Press (Verlag)
978-1-138-46454-4 (ISBN)
CRC Press (Verlag)
978-1-138-46454-4 (ISBN)
- Titel erscheint in neuer Auflage
- Artikel merken
Zu diesem Artikel existiert eine Nachauflage
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.
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.
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.
David J. Bartholomew, Fiona Steele, Fiona Steele, Irini Moustaki
Preface. Setting the Scene.Cluster Analysis.Multidimensional Scaling.Correspondence Analysis.Principal Components Analysis.Regression Analysis.Factor Analysis.Factor Analysis for Binary Data. Factor Analysis for Ordered Categorical Variables.Latent Class Analysis for Binary Data. Confirmatory Factor Analysis and Structural Equation Models.Multilevel Modeling. References. Index.
| Erscheinungsdatum | 07.10.2017 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie |
| Mathematik / Informatik ► Mathematik | |
| ISBN-10 | 1-138-46454-6 / 1138464546 |
| ISBN-13 | 978-1-138-46454-4 / 9781138464544 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Paket bestehend aus »Das Patienten-Manual« und »Das Trainer-Manual«
Buch | Softcover (2025)
Schattauer (Verlag)
CHF 125,95
