Introduction to SPSS in Psychology (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
464
Utgivningsdatum
2017-05-01
Upplaga
7
Förlag
Pearson
Medarbetare
Cramer, Duncan
Dimensioner
266 x 196 x 19 mm
Vikt
980 g
Antal komponenter
1
ISBN
9781292186665

Introduction to SPSS in Psychology

av Dennis Howitt
Häftad,  Engelska, 2017-05-01
611
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Introduction to SPSS in Psychology, 7th edition, is the essential step-by-step guide to SPSS for students taking their first course in statistics. This well-established text provides a clear and comprehensive coverage of how to carry out statistical analyses using SPSS. Full-colour SPSS screenshots, clear explanation and a wide-ranging coverage make it the perfect companion for students who want to be able to analyse data with confidence.

For each statistical test, the text discusses:

What the test is used for

When you should and shouldnt use it

Data requirements and any problems in usage

Step-by-step direction on how to carry out the test, using colour screenshots and labelled guidance on each part of the process

How to interpret and report the output

At a glance summary of steps taken to do each test

The step-by-step guides make this text suitable for students to use alongside lectures or independently when needing to get to grips with SPSS.
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Övrig information

Dennis Howitt and Duncan Cramer are with Loughborough University.

Innehållsförteckning

Summary of contents

Introduction  

Acknowledgements   

Part 1   Introduction to SPSS  

 1   Brief introduction to statistics

 2   Basics of SPSS data entry and statistical analysis  

Part 2   Descriptive statistics   

 3   Describing variables: Tables   

 4   Describing variables: Diagrams  

 5   Describing variables numerically: Averages, variation and spread   

 6   Shapes of distributions of scores  

 7   Relationships between two or more variables: Tables

 8   Relationships between two or more variables: Diagrams  

 9   Correlation coefficients: Pearsons correlation and Spearmans rho   

 10   Regression: Prediction with precision

Part 3   Significance testing and basic inferential tests  

 11   Related t-test: Comparing two samples of related/correlated/paired scores  

 12   Unrelated t-test: Comparing two groups of unrelated/uncorrelated/independent scores

 13   Confidence intervals   

 14   Chi-square: Differences between unrelated samples of frequency data

 15   McNemars test: Differences between related samples of frequency data   

 16   Ranking tests for two groups: Non-parametric statistics

 17   Ranking tests for three or more groups: Non-parametric statistics

Part 4   Analysis of variance

 18   Analysis of variance (ANOVA): One-way unrelated or uncorrelated ANOVA   

 19   Analysis of variance for one-way correlated scores or repeated measures  

 20   Two-way analysis of variance for unrelated/uncorrelated scores  

 21   Multiple comparison in ANOVA  

 22   Analysis of variance for two-way correlated scores or repeated measures  

 23   Two-way mixed analysis of variance (ANOVA)  

 24   Analysis of covariance (ANCOVA)   

 25   Multivariate analysis of variance (MANOVA)   

Part 5   More advanced statistics

 26   Partial correlation  

 27   Factor analysis   

 28   Item reliability and inter-rater agreement  

 29   Stepwise multiple regression   

 30   Simultaneous or standard multiple regression

 31   Simple mediational analysis

 32   Hierarchical multiple regression

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