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Statistics for Research with a Guide to SPSS

THIS THIRD edition is detailed and introduces the reader to the majority of statistical techniques required to analyse data sets. It is structured around the discussion of descriptive data first, which is always a good principle. Step by step the student is shown how to consider the findings within his or her data.

Well thought out examples are included and some are re-used at different points. Once the student is immersed in the book, he or she should be familiar with them and able to appreciate the contribution that different techniques can make.

There is an online resource available to download data files for what has been traditionally called statistical package for the social sciences, but which we should all start calling predictive analytics software statistics.

The files allow the reader to work through examples, which is an excellent way to learn. Otherwise the book is up to date and includes a good guide to using the chart builder and the new, but not so lovely, non-parametric dialogue box.

The strengths of this book include the depth in which it explores data sets. This means that the reader cannot jump precipitately to his or her statistical test of choice, to get the ‘magical’


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