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- 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
- 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
| Erscheinungsjahr: | 2018 |
|---|---|
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781292186665 |
| ISBN-10: | 1292186666 |
| Sprache: | Englisch |
| Autor: |
Howitt, Dennis
Cramer, Duncan |
| Auflage: | 7 ed |
| Hersteller: | KNV Besorgung |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 265 x 195 x 10 mm |
| Von/Mit: | Dennis Howitt (u. a.) |
| Erscheinungsdatum: | 01.05.2017 |
| Gewicht: | 0,85 kg |
| Erscheinungsjahr: | 2018 |
|---|---|
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781292186665 |
| ISBN-10: | 1292186666 |
| Sprache: | Englisch |
| Autor: |
Howitt, Dennis
Cramer, Duncan |
| Auflage: | 7 ed |
| Hersteller: | KNV Besorgung |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 265 x 195 x 10 mm |
| Von/Mit: | Dennis Howitt (u. a.) |
| Erscheinungsdatum: | 01.05.2017 |
| Gewicht: | 0,85 kg |
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