Overview

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.

Full Product Details

Author:   Dennis Howitt ,  Duncan Cramer
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   7th edition
Dimensions:   Width: 19.50cm , Height: 2.00cm , Length: 26.50cm
Weight:   0.860kg
ISBN:  

9781292186665

ISBN 10:   1292186666
Pages:   464
Publication Date:   08 May 2017
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

 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

Reviews

Author Information

Dennis Howitt and Duncan Cramer are with Loughborough University.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions