Testing statistical assumptions in research
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 re...
Main Authors: | , |
---|---|
Format: | eBook |
Language: | English |
Published: |
Hoboken, NJ
Wiley
2019
|
Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- Importance of Assumptions in Using Statistical Techniques
- Introduction of SPSS and Segregation of Data
- Assumptions in Survey Studies
- Assumptions in Parametric Tests
- Assumptions in Nonparametric Tests
- Assumptions in Nonparametric Correlations
- Statistical Tables