A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.
A Handbook of Statistical Analyses Using SPSS
This text clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11.
This well respected text is designed for the first course in statistics and SPSS taken by students majoring in Business, Health, and Medicine. The text offers a balanced presentation of applications and theory.
Imhoff, C., Sousa, R., 1997. The Information Ecosystem. Part 1. DM-Review, January 27. Inmon, W., Imhoff, C., Sousa, R., 1998. Corporate Information Factory. John Wiley & Sons, New York, NY. Juran, J., 1951. Quality Control Handbook.
Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation.
This companion to The New Statistical Analysis of Data by Anderson and Finn provides a hands-on guide to data analysis using SPSS. Included with this guide are instructions for obtaining the data sets to be analysed via the World Wide Web.
There is concern that the variables may not be normal and that outliers may have too strong an effect on Pearson's correlation . Design Considerations for Spearman's Rho Situations in which Spearman's rho would be chosen over Pearson's ...
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs.
Van Steen K, Curran D, Kramer J, Molenberghs G, Van Vreckem A, Bottomley A, Sylvester R. Multicollinearity in prognostic factor analyses using the EORTC QLQC30: identification and impact on model selection. Stat Med 2002; 21:3865–3884.
The Rookcase Excel add-in computes both values, for the global Moran I and Geary C, and the results in the table below illustrate this. Note that these results are calculated using overall weight adjustment rather than row-wise ...