Introduction to SPSS in Psychology
7th Edition
Published on 8. May 2017
Book
Paperback/Softback
464 pages
978-1-292-18666-5 (ISBN)
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.
More details
Edition
7th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Dimensions
Height: 265 mm
Width: 195 mm
Thickness: 20 mm
Weight
860 gr
ISBN-13
978-1-292-18666-5 (9781292186665)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Dennis Howitt | Duncan Cramer
Introduction to SPSS in Psychology
E-Book
05/2017
7th Edition
Pearson
from
€42.19
Available for download
Dennis Howitt | Duncan Cramer
Introduction to SPSS in Psychology
E-Book
04/2017
7th Edition
Pearson
from
€31.69
Available for download
Previous edition
Dennis Howitt | Duncan Cramer
Introduction to SPSS in Psychology
Book
05/2014
6th Edition
Pearson Education Limited
€37.13
Article exhausted; check for reprint
Persons
Dennis Howitt and Duncan Cramer are with Loughborough University.
Content
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
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