As with the other chapters on continuous data, there are far more resources for these topics than for categorical data.

Marchant-Shapiro, T. (2015) Statistics for Political Analysis: Understanding the Numbers. London: Sage/CQ Press.
This book includes some basic instructions for using SPSS to conduct data analysis, and the examples are from political science. See chapter 12 (‘Bivariate regression: Putting your ducks in a line’) and chapter 13 (‘Multiple regression: The final frontier’) for a discussion of linear regression. This book does not cover logistic regression. For a discussion of dummy variables, see the section ‘Gauss-Markov assumption 1: Interval-level variables’ in chapter 13 (‘Multiple regression’).

Pallant, J. (2016) SPSS Survival Manual. Maidenhead: Open University Press/McGraw-Hill Education.
This book provides a functional overview of how to produce statistics in SPSS. See chapter 13 (‘Multiple regression’) for coverage of linear regression and chapter 14 (‘Logistic regression’) for logistic regression.

Urdan, T.C. (2017) Statistics in Plain English, 4th edn. Abingdon: Routledge.
This book discusses statistical concepts in much more accessible language than most. See chapter 13 (‘Regression’) for a discussion of the statistical ideas behind regression.