Monte Carlo simulation with parametric and nonparametric analysis of covariance for nonequivalent control groups
There are many parametric statistical models that have been designed to measure change in nonequivalent control group studies, but because of assumption violations and potential artifacts, there is no one form of analysis that always appears to be appropriate. While the parametric analysis of covari...
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| Format: | Others |
| Language: | en_US |
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Virginia Polytechnic Institute and State University
2018
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| Online Access: | http://hdl.handle.net/10919/82902 |