Statistical Modelling for Social Researchers: Principles and Practice

ISBN-13: 9780415448376 / Angielski / Twarda / 2008 / 224 str.

Roger Tarling

Opis

Statistical Modelling for Social Researchers introduces social researchers to all aspects of statistical modelling in an easily accessible but informative way. A website accompanies the book which provides additional information and exercises. This is the first text to introduce the social researcher to the principles of statistical modelling and to the full range of methods available.

The book describes in words, rather than mathematical notation, the aims and principles of statistical modelling but helpfully remains fully comprehensive. Tarling clearly explains what appears to be a bewildering, impenetrable and extensive terminology. As well as explaining principles and developing understanding, this practical book demonstrates how to fit statistical models in SPSS, Stata, Amos and MLwiN and how to read and interpret the output.

This is an ideal tool for postgraduate social science students, research students and practising social researchers in universities, market research, government social research and the voluntary sector.

Spis treści

1. Statistical Modelling: An Overview 2. Research Designs and Data 3. Statistical Preliminaries 4. Multiple Regression for Continuous Response Variables 5. Logistic Regression for Binary Response Variables 6. Multinomial Logistic Regression for Multinomial Response Variables 7. Loglinear Modelling 8. Ordinal Logistic Regression for Ordered Categorical Response Variables 9. Multilevel Modelling 10. Latent Variables and Factor Analysis 11. Causal Modelling: Simultaneous Equation and Structural Equation Models 12. Longitudinal Data Analysis 13. Event History Models

O autorze

Roger Tarling is Professor of Social Research at the University of Surrey, a post he has occupied since 1996. Before that he was for 23 years a member of the Home Office Research and Planning Unit, the last six as Head of RPU. Throughout his career he has used statistical modelling in research and has had to explain statistical models and the inferences from them to research assistants, policy makers and to the students he has taught. He is a Certified Statistician of the Royal Statistical Society.