SPSS Survival Manual
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SPSS Survival Manual : A Step by Step Guide to Data Analysis Using IBM SPSS

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Description

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.In her bestselling guide, Julie Pallant guides you through the entire research process, helping you choose the right data 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 Manual is 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 sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non- parametric statistics, importing data, and calculating dates.'An excellent introduction to using SPSS for data analysis. It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.' - Associate Professor George Dunbar, University of Warwick'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash Universityshow more

Product details

  • Book | 368 pages
  • 200 x 253mm
  • Allen & Unwin
  • Sydney, Australia
  • 1760291951
  • 9781760291952
  • 10,225

Table of contents

PrefaceData files and websiteIntroduction and overviewPART ONE GETTING STARTED1 Designing a study2 Preparing a codebook3 Getting to know IBM SPSS 15PART TWO PREPARING THE DATA FILE4 Creating a data file and entering data5 Screening and cleaning the dataPART THREE PRELIMINARY ANALYSES6 Descriptive statistics7 Using graphs to describe and explore the data8 Manipulating the data9 Checking the reliability of a scale10 Choosing the right statisticPART FOUR STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS AMONG VARIABLES11 Correlation12 Partial correlation13 Multiple regression14 Logistic regression15 Factor analysisPART FIVE STATISTICAL TECHNIQUES TO COMPARE GROUPS16 Non-parametric statistics17 T-tests18 One-way analysis of variance19 Two-way between-groups ANOVA20 Mixed between-within subjects analysis of variance21 Multivariate analysis of variance22 Analysis of covarianceAppendix: Details of data filesRecommended readingReferencesIndexshow more

About Julie Pallant

JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.show more