Discovering Statistics Using SPSSWritten in his vivid and entertaining style, Andy Field provides students with everything they need to understand, use and report statistics—at every level—in the Third Edition of Discovering Statistics Using SPSS. Retaining the strong pedagogy from previous editions, he makes statistics meaningful by including playful examples from everyday student life (among other places), creating a gateway into the often intimidating world of statistics. In the process, he presents an opportunity for students to ground their knowledge of statistics through the use of SPSS. |
Contents
1 Why is my evil lecturer forcing me to learn statistics? | 1 |
2 Everything you ever wanted to know about statistics well sort of | 31 |
3 The SPSS environment | 61 |
4 Exploring data with graphs | 87 |
5 Exploring assumptions | 131 |
6 Correlation | 166 |
7 Regression | 197 |
8 Logistic regression | 264 |
14 Mixed design ANOVA GLM 5 | 506 |
15 Nonparametric tests | 539 |
16 Multivariate analysis of variance MANOVA | 584 |
17 Exploratory factor analysis | 627 |
18 Categorical data | 686 |
19 Multilevel linear models | 725 |
Life After Discovering Statistics | 779 |
Glossary | 781 |
Other editions - View all
Discovering Statistics Using SPSS [With Multiple Regression] Dr Andy Field,Paul D. Allison No preview available - 2010 |
Common terms and phrases
alcohol ANOVA assumption average box labelled calculate chapter charisma chi-square coding column labelled companion website compared confidence interval Continue Cancel Help contrast correlation coefficient covariance dance data editor degrees of freedom dependent variables dose dummy variables effect size equation error bar estimate exam anxiety exam performance example experimental F-ratio factor analysis factorial ANOVA Figure frequencies gender graph hypothesis independent interaction intercept Levene's test libido logistic regression look main dialog box main effect matrix measure multilevel models normally distributed option outcome variable parameters participants placebo plot population post hoc tests predicted probability random ratio regression model relationship repeated-measures represents residuals scatterplot scores SELF-TEST shows significance value significantly sphericity SPSS Output SPSS Tip standard deviation standard error sum of squares surgery t-test tells test statistic things Type I error variance variation Viagra z-score