Norris G., Qureshi F., Howitt D., Cramer D. Introduction to Statistics with SPSS for Social Science

Los Angeles: SAGE, 2012. — 496 p. — ISBN: 978-1-4082-3759-5.This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.Descriptive statistics
Why you need statistics: types of data
Describing variables: tables and diagrams
Describing variables numerically: averages, variation and spread
Shapes of distributions of scores
Standard deviation, z-scores and standard error: the standard unit of measurement in statistics
Relationships between two or more variables: diagrams and tables
Correlation coefficients: the Pearson correlation and Spearman’s rho
Regression and standard error
Inferential statistics
The analysis of a questionnaire/survey project
The related t-test: comparing two samples of correlated/related scores
The unrelated t-test: comparing two samples of unrelated/uncorrelated score
Chi-square: differences between samples of frequency data
Introduction to analysis of variance
Analysis of variance (ANOVA): introduction to one-way unrelated or uncorrelated ANOVA
Two-way analysis of variance for unrelated/uncorrelated scores: two studies for the price of one?
Analysis of covariance (ANCOVA): controlling for additional variables
Multivariate analysis of variance (MANOVA)
More advanced statistics and techniques
Partial correlation: spurious correlation, third or confounding variables (control variables), suppressor variables
Factor analysis: simplifying complex data
Multiple regression and multiple correlation
Multinomial logistic regression: distinguishing between several different categories or groups
Binomial logistic regression
Log-linear methods: the analysis of complex contingency tables