Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-788cddb947-55tpx Total loading time: 0 Render date: 2024-10-14T03:36:06.808Z Has data issue: false hasContentIssue false
This chapter is part of a book that is no longer available to purchase from Cambridge Core

Appendix 3 - Advice on statistics textbooks

Paul Martin  and
Patrick Bateson
Patrick Bateson
Affiliation:
King's College, Cambridge
Get access

Summary

This edition of Measuring Behaviour does not contain the long annotated bibliography found in the first two editions. That bibliography contained references to the most important publications relating to the development of the methodology used in the direct observation of behaviour and has historical interest. For those who would like to consult it, you can visit the annotated bibliography of the second edition on the following website: www.cus.cam.ac.uk/~ppgb/.

The brief annotated bibliography contained in this edition relates solely to statistics books that we have found useful. It is far from comprehensive but should provide a helpful entry into a large and ever-growing library of books on the subject.

Type
Chapter
Information
Measuring Behaviour
An Introductory Guide
 , pp. 160 - 162
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agresti, A. (2002). Categorical Data Analysis. 2nd edition. New York: Wiley-Interscience.CrossRefGoogle Scholar
Agresti, A. A clear and up-to-date text on the treatment of categorical or nominal data.
Dancey, C. P. & Reidy, J. (2004). Statistics without Maths for Psychology. 3rd edition, London: Pearson.Google Scholar
Dancey, C. P. & Reidy, J. An excellent book for those who fear statistics because of the mathematical content. It does exactly what it says it does on the cover.
Fowler, J., Cohen, L. & Jarvis, P. 1998. Practical Statistics for Field Biology. 2nd edition. Chichester: John Wiley and Sons.Google Scholar
Fowler, J., Cohen, L. & Jarvis, P. Aimed at field biologists. Includes methods of multivariate analysis with descriptions of principal components analysis, cluster analysis and discriminant analysis.
Grafen, A. & Hails, R. (2002). Modern Statistics for the Life Sciences. Oxford: Oxford University Press.Google Scholar
Grafen, A. & Hails, R. Strongly recommended for those wishing to use the powerful and flexible General Linear Models when analysing their data.
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1998). Multivariate Data Analysis. 4th edition. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. Provides an in-depth review of techniques used in multivariate statistics, and the situations to which they can be applied.
Hawkins, D. (2005). Biomeasurement. Oxford: Oxford University Press.Google Scholar
Hawkins, D. A modern and sympathetic introduction to the design of experiments and analysis of biological data.
Mead, R. (1988). The Design of Experiments. Statistical Principles for Practical Application. Cambridge: Cambridge University Press.Google Scholar
Mead, R. Focuses on the thinking behind replication, randomisation and blocking. However, it requires considerable knowledge of statistics.
Ruxton, D. G. & Colegrave, N. (2003). Experimental Design for the Life Sciences. Oxford: Oxford University Press.Google Scholar
Ruxton, D. G. & Colegrave, N. Modern treatment of an important subject.
Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences. 2nd edition. New York: McGraw-Hill.Google Scholar
Siegel, S. & Castellan, N. J. A revised and co-authored edition of Siegel's original and unrivalled 1956 classic. Probably still the best single text on non-parametric methods; clear, concise, reliable and indispensable.
Sokal, R. R. & Rohlf, F. J. (1995). Biometry: The Principles and Practice of Statistics in Biological Research. 3rd edition. New York: W. H. Freeman.Google Scholar
Sokal, R. R. & Rohlf, F. J. Often referred to as the ‘bible’ by statistically minded biologists. Probably most used to check on details not covered by more elementary books.
Sprinthall, R. C. (2003). Basic Statistical Analysis. 7th edition. Reading, MA: Addison-Wesley.Google Scholar
Sprinthall, R. C. Excellent for providing easily understood explanations of the basic concepts of statistics and experimental design. Witty and clear.
Zar, J. H. (1999). Biostatistical Analysis. 4th edition. London: Prentice Hall.Google Scholar
Zar, J. H. One of the best general texts on statistics. More accessible than Sokal & Rohlf. A fifth edition is expected in 2007.

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×