Call Boomerang Books 1300 36 33 32

Description - The Multivariate Social Scientist by Graeme Hutcheson

This is an introduction to multivariate analysis and techniques written in a non-mathematical style. It starts from a simple hypothesis testing, moves towards model-building and takes the reader through the basics of multivariate analysis, including: which tests to use on which data; how to run analyses; how to interpret results; and how to report and present the reports appropriately. Using a unified conceptual approach around Generalized Linear Models, the authors explain the commonalities and relationships between methods that include the analysis of both categorical and continuous data.

Buy The Multivariate Social Scientist by Graeme Hutcheson from Australia's Online Independent Bookstore, Boomerang Books.

Book Details

ISBN: 9780761952015
ISBN-10: 0761952012
Format: Paperback
(234mm x 156mm x mm)
Pages: 288
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 1-May-1999
Country of Publication: United States

Other Editions - The Multivariate Social Scientist by Graeme Hutcheson

Book Reviews - The Multivariate Social Scientist by Graeme Hutcheson

» Have you read this book? We'd like to know what you think about it - write a review about Multivariate Social Scientist book by Graeme Hutcheson and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a Boomerang Books Account Holder - it's free to sign up and there are great benefits!)

Write Review

Author Biography - Graeme Hutcheson

Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His PhD was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (DfES) and a project investigating mathematically demanding F and HE programmes.