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

AvJulie Pallant

Häftad, Engelska, 2020

384 kr

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The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. 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. It is illustrated throughout with screen grabs, examples of output and tips, and is also further supported by a website with sample data and guidelines on report writing.

This seventh edition is fully revised and updated to accommodate changes to IBM SPSS procedures.

Produktinformation

Utgivningsdatum:2020-04-09
Mått:200 x 252 x 20 mm
Vikt:807 g
Format:Häftad
Språk:Engelska, Tyska
Antal sidor:380
Upplaga:7
Förlag:McGraw-Hill Education
ISBN:9780335249497

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Mer om författaren

Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.

Innehållsförteckning

PrefaceData files and websiteIntroduction and overviewPart One Getting started1 Designing a study2 Preparing a codebook3 Getting to know IBM SPSS StatisticsPart 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 readingReferencesIndex