I had a copy of Field years ago (until it was stolen!) and think it is more of a student guide rather than a tool for researchers. There simply isn't any engagement with broader issues in understanding and interpreting data.
'Using Multivariate Statistics' by Tabachnick & Fidell might be an alternative for you - it is not specifically an SPSS textbook, but there are some examples provided as to how to conduct the analyses using SPSS
What type of regression models are you talking about (e.g., linear, logistic, etc)? You should be able to find lots of good material by Googling , and looking for books on regression of the type that you need.
Re cluster analysis, the chapter at the link below should be good--Norusis has written a lot of good material on SPSS.
Field's book (mentioned above) is also my recommendation - it is good and even funny to read. You'll find some of his presentations on Youtube as well, among a myriad of other alternatives. Good luck!
Bryman, Alan; Cramer, Duncan (2011): Quantitative data analysis with IBM SPSS 17, 18 and 19. A guide for social scientists. Hove, New York: Routledge.
Norušis, M. J. (2008): SPSS statistics 17.0 guide to data analysis. Upper Saddle River, N.J.: Prentice Hall.
Look also into SPSS help and tutorials, not bad at all.
For cluster analysis:
Everitt, Brian (2011): Cluster analysis. 5th ed. Chichester, West Sussex, U.K.: Wiley (Wiley series in probability and statistics).
Romesburg, H. Charles (2004): Cluster analysis for researchers. North Carolina: Lulu Press.
My favourite statistics book (I used it in research work as a back up resource and for teaching:
Moore, David S.; McCabe, George P.; Craig, Bruce A.: Introduction to the practice of statistics. Eighth edition.
Contents:
1. Looking at Data - Distributions 2. Looking at Data - Relationships 3. Producing Data 4. Probability: The Study of Randomness 5. Sampling Distributions 6. Introduction to Inference 7. Inference for Distributions 8. Inference for Proportions 9. Analysis of Two-Way Tables 10. Inference for Regression 11. Multiple Regression 12. One-Way Analysis of Variance 13. Two-Way Analysis of Variance Optional Companion Chapters (available at www.whfreeman.com/ips8e) 14. Logistic Regression 15. Nonparametric Tests 16. Bootstrap Methods and Permutation Tests 17. Statistics for Quality: Control and Capability
For the conceptual/mathematical background (very traditional):
Earl Babbie's book and its resources are a great support for all methodological matters, but it does not go far enough, if you want to deal with special procedures as cluster analysis or multivariate analysis.
Fields is a very nice text, easy to understand. If you need further details on certain procedures, then you should try by searching specific manuals through internet.