Testing statistical assumptions in research

This title facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. 'Testing Statistical Assumptions in Research' discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size.

It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically.

It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings.