Affiliation:
1. State University of New York at Albany
Abstract
Statistical power analysis is becoming an increasingly routine procedure when planning experiments and assessing the validity of tests of hypotheses following statistical analysis. For those situations where Type I error rate is not set to .10, .05, or .01 the task is impeded by the unavailability of tables for computation. A BASIC computer program is described that computes power for any combination of effect size, degrees of freedom for hypothesis, degrees of freedom for error. and a level. As a consequence of the algorithm an approximation to the critical value of the Bonferroni F-test is also computed.
Subject
Applied Mathematics,Applied Psychology,Developmental and Educational Psychology,Education
Cited by
3 articles.
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