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About this publication

Statistics and quantitative methods are brought to life for social science students in this tutorial course. This revised edition provides an overview of entry- and intermediate-level statistics, and the material on the accompanying website provides extensive practice. Both the text and the website are structured to make learning self-directed, thus numerous worked examples, exercises, activities and tests are included. The emphasis, throughout, is on practice. Students are expected to engage with the material and experience multiple aspects of data and statistical analysis. Most of the tutorials include detailed examples of how to conduct analyses in Microsoft Excel, SPSS, or R.

Entry-level topics include

• A review of basic mathematics
• Displaying data and descriptive statistics
• Normal distribution theory and practice
• Probability and hypothesis testing
• Correlation and regression
• One-way ANOVA
• Nonparametric statistics.

 
Intermediate-level topics include:

• Factorial and repeated measures ANOVA
• Multiple regression
• Statistical power
• Factor analysis
• Bootstrapping
• Multiple approaches to data.

Additional material is given on:

• The use of spreadsheets to analyse data
• The use of the internet to assist quantitative research
• The use of the R and SPSS statistical software packages
• Statistical tables.
  
  

Content

Tutorial 1 Numbers, variables, and measurement

Tutorial 2 Displaying data

Tutorial 3 Central tendency and variation

Tutorial 4 Probability and theoretical distributions

Tutorial 5 The standard normal distribution

Tutorial 6 The sampling distribution of the mean

Tutorial 7 Hypothesis testing the z-test

Tutorial 8 Hypothesis testing the t-test

Tutorial 9 Scatterplots and correlation

Tutorial 10 Simple regression

Tutorial 11 Measurement

Tutorial 12 Statistical power

Tutorial 13 Analysis of variance (ANOVA

Tutorial 14 Factorial analysis of variance

Tutorial 15 Repeated measures analysis of variance

Tutorial 16 Multiple regression.

Tutorial 17 Factor analysis

Tutorial 18 Chi-square (χ2) test

Tutorial 19 Distribution-free tests

Tutorial 20 Bootstrapping and randomisation methods

Tutorial 21 Statistical reasoning

Tutorial 22 Basic work with numbers

Tutorial 23 Equations, substitution, and summation

Tutorial 24 Reading and understanding graphs