Jane Superbrain extracts
Jane explains some really tough stuff in the book, like this:
Think you can handle it? Here's where to find all Jane's extracts in the book:
Chapter | Pedagogic listing | Title | Ltd Page | Inc Page |
1 | 1.1 | When is a prediction not a prediction? | 7 | 6 |
1 | 1.2 | Self-report data | 11 | 10 |
1 | 1.3 | Continuous and discrete variables | 13 | 11 |
1 | 1.4 | Causality and statistics | 19 | 16 |
1 | 1.5 | The standard deviation and the shape of the distribution | 32 | 25 |
2 | 2.1 | Types of statistical models | 51 | 40 |
2 | 2.2 | Degrees of freedom | 59 | 45 |
2 | 2.3 | Who said statistics was dull? Part 1. | 75 | 57 |
2 | 2.4 | Cheating in research | 77 | 59 |
3 | 3.1 | Why do we use 0.05? | 102 | 78 |
5 | 5.1 | Catterplots | 212 | 159 |
6 | 6.1 | The assumption of normality with categorical predictors | 232 | 175 |
6 | 6.2 | Size really does matter | 235 | 177 |
6 | 6.3 | Stealth outliers | 236 | 178 |
6 | 6.4 | Using z-scores to find outliers | 242 | 182 |
6 | 6.5 | Significance tests and assumptions | 248 | 187 |
6 | 6.6 | Is Levene's test worth the effort? | 259 | 195 |
6 | 6.7 | To transform or not transform, that is the question | 270 | 203 |
7 | 7.1 | Non-parametric tests and statistical power | 283 | 213 |
7 | 7.2 | Exact tests | 296 | 222 |
8 | 8.1 | Who said statistics was dull? Part 2. | 339 | 254 |
9 | 9.1 | The difference between residuals and influence statistics | 386 | 287 |
9 | 9.2 | Maths frenzy | 412 | 305 |
9 | 9.3 | What are eigenvectors and eigenvalues? | 419 | 310 |
10 | 10.1 | Are median splits the devil's work? | 440 | 328 |
12 | 12.1 | ANOVA boils down to one equation (well, sort of) | 529 | 392 |
12 | 12.2 | What do I do in ANOVA when the homogeneity of variance assumption is broken? | 535 | 396 |
13 | 13.1 | An interpretational or statistical requirement? | 582 | 430 |
13 | 13.2 | What are the consequences of violating the assumption of homogeneity of regression slopes? | 584 | 431 |
13 | 13.3 | Options for ANCOVA | 590 | 435 |
14 | 14.1 | Naming ANOVAs | 610 | 450 |
15 | 15.1 | Sphericity and post hoc tests | 657 | 483 |
15 | 15.2 | Power in ANOVA and MANOVA | 659 | 484 |
15 | 15.3 | Adjusting for sphericity | 671 | 493 |
15 | 15.4 | Pointless P | 672 | 494 |
17 | 17.1 | The power of MANOVA | 738 | 542 |
18 | 18.1 | What's the difference between a pattern matrix and a structure matrix? | 784 | 575 |
18 | 18.2 | How many factors do I retain? | 792 | 580 |
18 | 18.3 | What is the determainant? | 799 | 586 |
20 | 20.1 | Computing the odds ratio? | 905 | 660 |
20 | 20.2 | Odds ratios and unobserved heterogeneity | 910 | 665 |