== Recommended statistical texts == A :-) indicates in CBU library. Most of the others are in the university library. You can check at [http://ul-newton.lib.cam.ac.uk/ here.] Statistics books in the CBU library are listed [http://imaging.mrc-cbu.cam.ac.uk/statswiki here.] The Psychological Postgrads website also has a list of suggested ''Statistics and Research Methods'' textbooks with comments located [http://www.psypag.co.uk/resources/recommended-reading here.] '''General''' *Everitt, BS (1996) Making sense of statistics in psychology. OUP: Oxford. *Gravetter, FJ and Wallnau, LB (2006) Statistics for the behavioral sciences. (7th Edition). Wadsworth:Pacific Grove, California. The swecond edition was recommended by a psych-postgrads list contributor especially for its chapter on a step-by-step introduction to structural equation modelling. *Howell, DC (2002) Statistical methods for psychology. (5th edition). Wadsworth:Pacific Grove, CA. Examples and illustrations of a variety of analyses put in an entertaining and understanding manner. :-) (Third and fourth edition also in library). ''There is also now a sixth edition of Howell (2010) with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis. (The two below are recommended by psychology students on the PSYCH-POSTGRADS email list). *Rowntree, D (1991) Statistics Without Tears:an introduction for non-mathematicians. Penguin:London. *Salkind, NJ (2008) Statistics for people who think they hate statistics. (3rd Edition). Sage:London. (New edition due in November 2010) '''SPSS learning books which cover a range of statistical procedures''' *Boslaugh, S (2005) An Intermediate Guide to SPSS Programming: Using Syntax for Data Management. Sage:Thousand Oaks, CA. SPSS syntax (including macros) with some description of the statistical methods that they implement. :-) *Brace, N, Kemp, R & Snelgar, R (2006) SPSS for psychologists (3rd edition). Lawrence Erlbaum: London. A broad range of advanced statistical procedures as implemented in SPSS. :-) (On order; First edition in library) *Collier, J (2009) Using SPSS syntax - A Beginner's Guide. Sage: London. Further details are [:FAQ/collier: here.] *Field, A (2005) Discovering Statistics using SPSS. 2nd Edition. Sage:London. :-) *Kinnear, PR and Gray, CD (2009) SPSS 16 made simple. Psychology Press: Hove, East Sussex, England. Revised (updated) versions available. '''R learning books which cover a range of statistical procedures''' *Baguley, T (2012) Serious stats: A guide to advanced statistics for the behavioral sciences. Basingstoke: Palgrave. (covers basic analyses, effect sizes, messy data, AN(C)OVA and multilevel models). There is also some SPSS syntax given for comparison with R. :-) *Crawley, MJ (2005) Statistics: an introduction using R. Wiley:New York. (covers basic analyses such as descriptives and one and two-sample tests) :-) *Crawley, MJ (2007) The R book. Wiley:New York. (covers more advanced analyses such as general linear models including regressions and analysis of (co)variance). :-) '''Analysis of Variance''' *Keppel, G (1991). Design and analysis: A researcher's handbook (3rd edition). Prentice-Hall: Englewood Cliffs, New Jersey. Clear substantive and quantitative introduction to analysis of variance :-) *Maxwell, SE and Delaney, HD (2004). Designing experiments and analyzing data: a model comparison perspective (2nd Edition). Lawrence Erlbaum: Mahwah, NJ. A good blend of a smattering of important formulae and practical usage. *Miller Jr, RG (1998) Beyond ANOVA. CRC Press LLC: Boca Raton, Florida, USA (1998). There is also a Chapman and Hall 1997 edition. Involved treatment of ANOVAs and its formulation as a multiple regression. *Winer, BJ, Brown, DR, & Michels, KM (1991). Statistical Principles in Experimental Design (3rd Edition). McGraw-Hill: New York. Excellent book. Good resource. The third edition by the last two authors was completed after Winer died. 1962 version in CBU library :-) '''Categorical Data Models''' *Agresti, A (1996) An Introduction to Categorical Data Analysis. Wiley: New York. A primer covering a wide variety of methods. *Agresti, A (2002) Categorical data analysis. Wiley: New York. More in-depth and comprehensive approach. '''Factor Analysis (both exploratory and confirmatory)''' *Loehlin, JC (1987) Latent variable models: An introduction to factor, path, and structural analysis. Lawrence Erlbaum: Hillsdale, NJ. *Dunn, G, Everitt, B and Pickles, A (2003) Modelling covariances and latent variables using EQS. Chapman and Hall: London. '''Cluster Analysis''' Clustering can be used on small samples (N<100) usually grouping items assessing service attributes which have a limited range of responses such as Yes/No. * Everitt, BS, Landau, S and Lees, M (2001) Cluster analysis. Fourth Edition Arnold:London. The first (1974) and second 1980) editions are in the CBSU library. :-) * Clustering is also covered in most multivariate data analysis textbooks including [attachment:clusterch.pdf Chapter 8 of Tan, P-N, Steinbach, M. and Kumar, V. (2005) Introduction to Data Mining. Addison-Wesley:Upper Saddle River, NJ.] '''Logistic Regression''' *Hosmer, DW and Lemeshow, S (1989) Applied logistic regression. Wiley: New York. *Pampel, FC (2000) Logistic regression: a primer. Sage: London. A clear account, using mainly medical examples, of binary logistic regression. '''Log-linear models''' *Knoke, D and Burke PJ (1983) Log-linear models. Sage: London. A primer for an area whose best known example is logistic regression. '''Multiple Regression''' *Aiken, L and West, S (1991) Multiple Regression: Testing and Interpreting Interactions. Sage:London. This applied text addresses issues surrounding regression including multicollinearity and fitting interactions involving continuous covariates. :-) *Cohen, J and Cohen, P (1983) Applied multiple regression/correlation analysis for the behavioral sciences. Second edition. Lawrence Erlbaum: Hillsdale, NJ. :-) *Cohen, J, Cohen, P, West SG and Aiken LS (2002) Applied multiple regression/correlation analysis for the behavioral sciences. Routledge: London. *Miles, J and Shevlin, M (2005) Applying regression and correlation: a guide for students and researchers. Sage:London. '''Multivariate Analyses''' *Field, A (2005) Discovering statistics using SPSS (2nd edition). Sage:London. *Hair Jr., JF, Tatham, RL, Anderson, RE and Black W. (1998) Multivariate Data Analysis (5th edition). Prentice-Hall:Englewood Cliffs, NJ. This accessible and comprehensive text features plenty of illustrations and rules of thumb. It is also available, together with earlier editions, in the university library :-) There is also a sixth and seventh edition (2009) by Hair Jr, JF, Black,B, Babin, B, Anderson, RE, Tatham, RL published by Pearson International *Tabachnick, BG and Fidell LS (2007) Using multivariate statistics (5th edition). Pearson International:Boston, MA. :-) *[attachment:meyers.pdf Meyers LS, Gamst G and Guarino AJ Applied multivariate research. Design and interpretation. Sage:London]. The authors’ emphasis is on conceptual understanding of a comprehensive range of multivariate methods with illustrations of their use on data using SPSS. '''Nonparametric Statistics''' *Siegel, S. and Castellan, NJ (1988) Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill, 2nd edition. A comprehensive text with illustrative examples of numerous nonparametric tests. :-) '''Power''' *Aberson, CL (2010) Applied Power Analysis for the Behavioral Sciences. Routledge Academic. Contains SPSS syntax :-) *Kraemer, HC and Thiemann, S (1987) How Many Subjects? Statistical Power Analysis in Research. Sage. :-) '''Random Effect modelling''' *Brown, H and Prescott, R (2006) Applied mixed models in medicine (2nd edition). Wiley:New York. This illustrates a wide variety of applications using SAS. *Luke, DA (2004) Multilevel modeling. Sage: London. *SPSS Inc. document. Linear mixed effects modeling in SPSS. (Pdf file giving details of fitting random effect models in SPSS [attachment:mixedspss.pdf is here.]) '''Statistica''' A list of books which detail the use of Statistica are listed at the [http://www.statsoft.com/support/books-on-statistica/ here] on the software makers (Statsoft's) own website.