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IMPORTANCE OF HYPOTHESES: GROUP COMPARISON ANALYSIS
Author(s) -
Wolf Gerrit,
Bassler John
Publication year - 1980
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1980.tb01123.x
Subject(s) - null hypothesis , analysis of variance , flexibility (engineering) , statistics , alternative hypothesis , set (abstract data type) , statistical hypothesis testing , econometrics , population , mathematics , computer science , demography , sociology , programming language
A method is presented for measuring the importance of a mean‐difference hypothesis and for a set of such hypotheses. The method is based on the population prediction uncertainty associated with the models for the alternative and null hypotheses. Previous methods for ANOVA designs are special cases of the method presented here. The method is demonstrated showing its flexibility for the analysis of mean‐difference hypotheses. The method encourages tests of meaningful research hypotheses rather than fitting the hypotheses to the method.