• Advanced Quantative Data Analysis See large image

    Advanced Quantative Data Analysis (Understanding Social Research) (Paperback) By (author) Duncan Cramer

    $37.43 - Save $4.54 10% off - RRP $41.97 Free delivery worldwide Available
    Dispatched in 3 business days
    When will my order arrive?
    Add to basket | Add to wishlist |

    Description*What do advanced statistical techniques do? *When is it appropriate to use them? *How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book: - concise and accessible introduction to calculating and interpreting advanced statistical techniques - use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique - succinct illustration of writing up the results of these analyses - minimum of mathematical, statistical and technical notation - annotated bibliography and glossary of key concepts Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.


Other books

Other people who viewed this bought | Other books in this category
Showing items 1 to 10 of 10

 

Reviews | Bibliographic data
  • Full bibliographic data for Advanced Quantative Data Analysis

    Title
    Advanced Quantative Data Analysis
    Authors and contributors
    By (author) Duncan Cramer
    Physical properties
    Format: Paperback
    Number of pages: 208
    Width: 157 mm
    Height: 233 mm
    Thickness: 20 mm
    Weight: 405 g
    Language
    English
    ISBN
    ISBN 13: 9780335200597
    ISBN 10: 0335200591
    Classifications

    BIC E4L: SOC
    Nielsen BookScan Product Class 3: S3.1T
    BIC subject category V2: JHBC
    Warengruppen-Systematik des deutschen Buchhandels: 17800
    Ingram Subject Code: SO
    BISAC V2.8: SOC026000
    LC subject heading:
    BIC subject category V2: JMB, GPH
    DC22: 001.422
    LC classification: HA29 \.C77
    Thema V1.0: JHB
    Edition
    Annotated
    Edition statement
    annotated edition
    Illustrations note
    glossary, references, bibliography, index
    Publisher
    OPEN UNIVERSITY PRESS
    Imprint name
    OPEN UNIVERSITY PRESS
    Publication date
    01 January 2005
    Publication City/Country
    Milton Keynes
    Author Information
    Duncan Cramer has been a Reader in Psychological Health in the Department of Social Sciences at Loughborough University since 1996. He has authored or co-authored various texts on statistics including An Introduction to Statistics in Psychology (2000) and Quantitative Data Analysis with SPSS Release 10 for Windows (2001).
    Table of contents
    Series editor's foreword Preface 1 Introduction PART 1 Grouping quantitative variables together 2 Exploratory factor analysis 3 Confirmatory factor analysis 4 Cluster analysis PART 2 Explaining the variance of a quantitative variable 5 Stepwise multiple regression 6 Hierarchical multiple regression PART 3 Sequencing the relationships between three or more quantitativevariables 7 Path analysis assuming no measurement error 8 Path analysis accounting for measurement error PART 4 Explaining the probability of a dichotomous variable 9 Binary logistic regression PART 5 Testing differences between group means 10 An introduction to analysis of variance and covariance 11 Unrelated one-way analysis of covariance 12 Unrelated two-way analysis of variance PART 6 Discriminating between groups 13 Discriminant analysis PART 7 Analysing frequency tables with three or more qualitative variables 14 Log-linear analysis Glossary References Index