Testing Statistical Assumptions in Research 1st Edition

Testing Statistical Assumptions in Research 1st Edition

This book 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. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient.

  • An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study
  • Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations
  • Describes different assumptions associated with different statistical tests commonly used by research scholars
  • Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions
  • Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis

Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.




This website strictly complies with DMCA Digital Copyright Laws.. Please be clear that we (edownloads.me) do not own copyrights of these e-books. The intention behind sharing these books and educational material is to provide easy access to students, researchers and other readers who don't have access to these books at their local libraries, "thus only for educational purpose". We highly encourage our readers to purchase this content from the respected publishers. If anyone holding copyrights wants us to remove this content, please contact us rightaway. All books and educational material on edownloads.me are free and NOT HOSTED ON OUR WEBSITE. If you feel that your copyrights have been violated, then please contact us immediately. You may send an email to infomanzastore@gmail.com for all DMCA / Removal Requests. edownloads.me doesn’t have any material hosted on the server of this page, only links to books that are taken from other sites on the web are published and these links are unrelated to the book server. edownloads.me server doesnot store any type of book or material. No illegal copies are made or any copyright © and / or copyright is damaged or infringed since all material is free on the internet.

Add a Comment