Statistical Methods for the Social and Behavioural Sciences - A Model-Based Approach

Informationen zum Autor David B. Flora is Associate Professor in Quantitative Methods within the Faculty of Health, York University, Canada. Klappentext Zusammenfassung Flora provides a comprehensive survey of the major statistical procedures! along with an innovative model-based approach! teaching researchers how to understand and choose the best model to fit their data. Inhaltsverzeichnis 1. Foundations of Statistical Modeling Demonstrated with Simple Regression 2. Multiple Regression with Continuous Predictors 3. Regression with Categorical Predictors 4. Interactions in Multiple Regression: Models for Moderation 5. Using Multiple Regression to Model Mediation and Other Indirect Effects 6. Introduction to Multilevel Modeling 7. Basic Matrix Algebra for Statistical Modeling 8. Exploratory Factor Analysis 9. Structural Equation Modeling I: Path Analysis 10. Structural Equation Modeling II: Latent Variable Models 11. Growth Curve Modeling

Product details

• Authors: David B. Flora, David B Flora, David B. Flora, David B. B. Flora, Flora David B.
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Hardback
• Released: 31.12.2017
• EAN: 9781446269824
• ISBN: 978-1-4462-6982-4
• No. of pages: 472
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Media, communication > Communication science; SOCIAL SCIENCE / Statistics, SOCIAL SCIENCE / Methodology, Social research & statistics, Social research and statistics, Research methods: general, Research methods / methodology