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SPSS survival manual : a step by step guide to data analysis using SPSS

By: Pallant, Julie
Material type: BookPublisher: Berkshire : McGraw-Hill, c2010.Edition: 4th ed.Description: xiv, 345 p. : ill. ; 26 cm.ISBN: 978-0335242399Other title: A step by step guide to data analysis using the SPSS program.Subject(s): Social sciences -- Research -- Statistical methods | Social sciences -- Statistical methods -- Computer programs | Social sciences -- Research | Social sciences -- Computer softwareDDC classification: 300/.285/55 Online resources: Location Map
Summary:
In this thoroughly revised fourth edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
300.28555 PA SP (Browse shelf) Checked out 09/26/2022 T0017682
Total holds: 0

Includes bibliographical references (p. 334-340) and index.

Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index.

In this thoroughly revised fourth edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.

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