Dennis Howitt, Duncan Cramer

Introduction to SPSS in Psychology (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 1
• Erscheinungstermin: 25. Mai 2017
• Englisch
• ISBN-13: 9781292186702
• Artikelnr.: 56962473

Autorenporträt

Dennis Howitt and Duncan Cramer are with Loughborough University.

Inhaltsangabe

*  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