Statistics for research : with a guide to SPSS / George Argyrous

Part 1: An introduction to statistical analysis
1 Variables and their measurement
2 Setting up an SPSS data file

Part 2: Descriptive statistics: Graphs and tables
3 The graphical description of data
4 The tabular description of data
5 Using tables to investigate the relationship between variables: Crosstabulations
6 Measures of association for crosstabulations: Nominal data
7 Measures of association for crosstabulations: Ranked data
8 Multivariate analysis of crosstabs: Elaboration

Part 3: Descriptive statistics: Numerical measures
9 Measures of central tendency
10 Measures of dispersion
11 The normal curve
12 Correlation and regression
13 Multiple regression

Part 4: Inferential statistics: Tests for a mean
14 Sampling distributions
15 Introduction to hypothesis testing and theone-sample z-test for a mean
16 - The one-sample t-test for a mean
17 - Inference using estimation andconfidence intervals
18 The two-sample t-test for the equality of means
19 The F-test for the equality of more than two means: Analysis of variance
20 The two- dependen t-samples t-test for the mean difference

Part 5: Inferential statistics: Tests for frequency distributions
21 One-sample tests for a binomial distribution
22 One-sample tests for a multinomial distribution
23 The chi-square test for independence
24 Frequency tests for two dependent samples

Part 6: Inferential statistics: Other tests of significance
25 Rank-order tests for two or more samples
26 - The t-test for a correlation coefficient

Part 7: Advanced topics
27 Statistical power
28 Generating new variables in Spss: The Recode, Compute, and Multiple Response.

Includes index