Understanding Significance Testing

Author(s): Lawrence Mohr

Understanding Significance Testing


Significance testing is the most used, and arguably the most useful, of all techniques for analyzing social science data. In this practical volume, Mohr first defines basic terms such as variance, standard deviation, and parameter. He then carefully outlines the uses of significance testing and examines sampling distributions, probability distributions, and normal and t-tests of significance. Readers at all levels of research experience, from the first-semester student to the seasoned practitioner, will profit from this handy volume (Sage Publications).  

Publication Information:

Publisher: Sage Publications

Year of Publication: 1990

Additional Information:

Notes, Comments, Reviews:

This book is reprinted in Michael S. Lewis-Beck (ed.), Basic Statistics: International Handbooks of Quantitative Applications in the Social Sciences, Vol. I.  Newbury Park, CA: Sage Publications, 1994.