Articles by "SPSS"

Showing posts with label SPSS. Show all posts

Ton J. Cleophas, Aeilko H. Zwinderman ... 
76 pages - Publisher: Springer; (September 17, 2010)
Language: English - ISBN-10: 9048195187 - ISBN-13: 978-9048195183

This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software. Some 15 years ago serious statistical analyses were conducted by specialist statisticians using ma- frame computers. Nowadays, there is ready access to statistical computing using personal computers or laptops, and this practice has changed boundaries between basic statistical methods that can be conveniently carried out on a pocket calculator and more advanced statistical methods that can only be executed on a computer. Clinical researchers currently perform basic statistics without professional help from a statistician, including t-tests and chi-square tests. With help of user-friendly software the step from such basic tests to more complex tests has become smaller, and more easy to take. It is our experience as masters’ and doctorate class teachers of the European College of Pharmaceutical Medicine (EC Socrates Project Lyon France) that s- dents are eager to master adequate command of statistical software for that purpose. However, doing so, albeit easy, still takes 20–50 steps from logging in to the final result, and all of these steps have to be learned in order for the procedures to be successful.

Joaquim P. Marques de Sá ... 
505 pages -Publisher: Springer; 2nd edition (July 20, 2007)
Language: English - ISBN-10: 3540719717 - ISBN-13: 978-3540719717

Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.

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