The basic language of statistics -- The research process -- Univariate descriptive statistics -- Graphical representations -- Creating new variables with SPSS -- Normal distributions and sampling distributions -- Sampling designs -- Estimation -- Hypothesis testing -- Correlation and the regression line -- Two-way tables and the chi-squared test -- t-tests and ANOVA -- Appendix I : Reporting a quantitative analysis -- Appendix II : How to create a data file in SPSS -- Appendix III : Area under the normal curve -- Appendix IV : Table of random numbers
Summary
The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how IBM SPSS Statistics can be used as a tool to aid analysis. Key Features of the Second Edition: * New chapters on ANOVA Factor Analysis and General Multilinear Model * IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice * Sets of exercises and 'real-life' examples to aid teaching and learning * Lists of key terms and further reading to .
