@article{ref1,
title="Cross-validation of regression equations to predict performance in a pursuit tracking task",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="1978",
author="Savage, Ricky E. and Williges, Robert C. and Williges, Beverly H.",
volume="22",
number="1",
pages="369-372",
abstract="A double, cross-validation procedure was used to validate regression equations which predict training time to learn a two-dimensional pursuit tracking task. Motor skill and information processing tasks were used as predictors. The results yielded a reliable regression equation for each training condition, and these equations were quite similar in cross-validation. Subsequently, a regression equation based on pooled data from the original and cross-validation sample was calculated for each training condition. To establish the usefulness of a regression approach for selecting training strategies, these equations will be used in a future study where students will be matched, mismatched, and randomly assigned to various training alternatives.<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/107118137802200199",
url="http://dx.doi.org/10.1177/107118137802200199"
}