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 enhance students' understanding • An improved text design making the book easier to navigate

T-Tests and Anova

The purpose of this chapter is to extend the concept of statistical association learned in the two preceding chapters to the situation where the independent variable is qualitative, and the dependent variable is quantitative. As in the previous cases, two processes are involved: that of establishing that there is an association at the level of the sample, and that of establishing whether it is statistically significant, which means that there is an association at the level of the whole population. In the particular case of an independent qualitative variable and a dependent quantitative variable, the meaning of a statistical association is that the mean scores of the quantitative variable (the dependent variable) differ across the categories of the qualitative variable (the independent ...

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