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    The SPSS Survival Guide (Open University Press) (Spiral bound) By (author) Julie Pallant

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    Description"This is the 'must have' book for anyone who wants to use SPSS." Julia Robertson, University of Buckinghamshire, UK "An excellent introduction to using SPSS for data analysis ...It provides a self-contained resource, with more than simply (detailed and clear) step by step descriptions of statistical procedures in SPSS." Associate Professor George Dunbar, University of Warwick, UK "The book provides a no nonsense approach to understanding SPSS. With step by step explanations to carrying out data analysis it is a welcome addition to any social science student." Gail Steptoe Warren, University of Coventry, UK "Doing statistics is just like following a cooking recipe, you have to do it step by step. This book offers just that, a step by step guide to all of the main statistics you need to learn ...It has become a must havego-to reference text for established researchers and students alike!" Alison Attrill, De Montfort University, UK The SPSS Survival Manual throws a lifeline tostudents and researchers grappling with this powerfuldata analysis software. In her bestselling guide, now covering up to version 21 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the rightdata analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step by step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manualis an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This fifth edition is fully revised and updated to accommodate changes to IBM SPSS version 21 procedures, screens and output. Additional recommended readings andwebsites have been added.

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  • Full bibliographic data for The SPSS Survival Guide

    The SPSS Survival Guide
    Authors and contributors
    By (author) Julie Pallant
    Physical properties
    Format: Spiral bound
    Number of pages: 368
    Width: 216 mm
    Height: 250 mm
    Thickness: 28 mm
    Weight: 700 g
    ISBN 13: 9780335262588
    ISBN 10: 0335262589

    BIC E4L: PSY
    B&T Book Type: NF
    Nielsen BookScan Product Class 3: S2.2T
    B&T Merchandise Category: TXT
    B&T Modifier: Subject Development: 20
    B&T Modifier: Region of Publication: 03
    LC classification: LB
    BISAC V2.8: PSY031000
    BIC subject category V2: JMBT
    B&T General Subject: 340
    B&T Modifier: Academic Level: 02
    Abridged Dewey: 371
    BISAC V2.8: EDU029000
    B&T Modifier: Text Format: 01
    BISAC V2.8: MAT029000
    Warengruppen-Systematik des deutschen Buchhandels: 17100
    BISAC V2.8: COM077000
    DC23: 150.15195
    Thema V1.0: PBT, UFM
    5, Revised
    Edition statement
    5th Revised edition
    Imprint name
    Publication date
    01 August 2013
    Publication City/Country
    Milton Keynes
    Author Information
    Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is Associate Professor and Director of Research and Graduate Studies in the Rural Health Academic Centre at the University of Melbourne. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.
    Table of contents
    Preface Data files and website Introduction and overview Part One: Getting started 1 Designing a study 2 Preparing a codebook 3 Getting to know IBM SPSS Part Two: Preparing the data file 4Creating a data file and entering data 5Screening and cleaning the data Part Three: Preliminary analyses 6Descriptive statistics 7Using graphs to describe and explore the data 8Manipulating the data 9Checking the reliability of a scale 10Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables 11Correlation 12Partial correlation 13Multiple regression 14Logistic regression 15Factor analysis Part Five: Statistical techniques to compare groups 16Non-parametric statistics 17T-tests 18One-way analysis of variance 19Two-way between-groups ANOVA 20Mixed between-within subjects analysis of variance 21Multivariate analysis of variance 22Analysis of covariance Appendix: Details of data files Recommended reading References