On determining the power of a test after data collection
dc.contributor.author | Chernoff, William Avram | |
dc.date.accessioned | 2009-12-11T14:31:49Z | |
dc.date.available | 2009-12-11T14:31:49Z | |
dc.date.graduationmonth | December | en_US |
dc.date.issued | 2009-12-11T14:31:49Z | |
dc.date.published | 2009 | en_US |
dc.description.abstract | The term retrospective power describes methods for estimating the true power of a test after data have been collected. These methods have been recommended by some authors when null hypothesis of a test cannot be rejected. This report uses simulations to study power as a construct of an observed effect, variance, sample size, and set level of significance under the balanced one-way analysis of variance model for normally distributed populations with constant variance. Retrospective power, as a construct of sample data, is not recommended when the null hypothesis of a test cannot be rejected. When the p-value of the test is large, estimates for true power tend to fall below the 0.80 level and width-minimized confidence limits for true power tend to be wide. | en_US |
dc.description.advisor | Leigh W. Murray | en_US |
dc.description.degree | Master of Science | en_US |
dc.description.department | Department of Statistics | en_US |
dc.description.level | Masters | en_US |
dc.identifier.uri | http://hdl.handle.net/2097/2278 | |
dc.language.iso | en_US | en_US |
dc.publisher | Kansas State University | en |
dc.subject | Retrospective power | en_US |
dc.subject | Power | en_US |
dc.subject | Post hoc power | en_US |
dc.subject | Non-rejected null hypothesis | en_US |
dc.subject | Statistical significance | en_US |
dc.subject | Estimate power | en_US |
dc.subject.umi | Statistics (0463) | en_US |
dc.title | On determining the power of a test after data collection | en_US |
dc.type | Report | en_US |