Introduction to SPSS in Psychology

Series
Pearson
Author
Dennis Howitt / Duncan Cramer  
Publisher
Pearson
Cover
Softcover
Edition
7
Language
English
Total pages
464
Pub.-date
May 2017
ISBN13
9781292186665
ISBN
1292186666
Related Titles



Description

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.

Features

For each statistical test, the text discusses:

· What the test is used for

· When you should and shouldn’t 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.

New to this Edition

● Compact, to-the-point chapters sans theory to make the content more approachable 

● Topics that are most likely to be used

Table of Contents

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: Pearson’s correlation and Spearman’s 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   McNemar’s 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

 33   Log-linear analysis   

 34   Meta-analysis  

 

Part 6   Data handling procedures   

 35   Missing values   

 36   Recoding values   

 37   Computing a scale score with some values missing

 38   Computing a new group variable from existing group variables   

 39   Selecting cases   

 40   Reading ASCII or text files into the Data Editor   

 

Glossary   

Index  

Back Cover

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 shouldn’t 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.

Author

Dennis Howitt and Duncan Cramer are with Loughborough University.