Bryman, A. and Cramer, D. (1994) Quantitative Data Analysis for Social Scientists, revised edn. London: Routledge.
Chapter 8, pp. 152–190, 'Bivariate analysis: exploring relationships', covers cross-tabulation, cross-tabulation and significance, correlation, scatter diagrams and relationships between ordinal variables – and more. Explanations are clear and helpful.
Clarke, G.M. and Cooke, D. (1992) A Basic Course in Statistics, 3rd edn. London: Arnold.
Chapter 20, pp. 335–8, 'Correlation', includes scatter diagrams, correlation coefficients and fallacies interpreting calculated correlation co-efficients (correlation does not imply cause). Good examples, exercises and answers.
Cohen, L. and Holliday, M. (1996) Practical Statistics for Students. London: Paul Chapman.
This is a very readable text which provides a comprehensive overview of statistical methods.
Cramer, D. (1997) Basic Statistics for Social Research. London: Routledge. Chapter 9, pp. 250–76, 'Tests of association for categorical and ordinal data', is thorough, though it certainly helps to have a little statistical knowledge. Covers, among other things, Kendall's tau a, b and c (pp. 245–61), discussion of when these tests are appropriate and the associated formulae.
McMillan, J.H. and Schumacher, S. (1984) Research in Education – A Conceptual Introduction. Boston, MA: Little, Brown.