Cox R H
Psychomotor Division, Ball State University, Muncie, Indiana 47306.
Aviat Space Environ Med. 1988 Jul;59(7):640-5.
Subjects for this research were 320 prospective pilots who were tested on computerized versions of the Two Hand Coordination (2HC) and Complex Coordination (CC) psychomotor tests. Independent variables included five basic error measures associated with the two tests, as well as seven new variables that had not previously been utilized. Results of MANOVA and multiple regression analyses revealed that performance on the two psychomotor tests were significantly related to Undergraduate Pilot Training (UPT) outcome. A trend was observed for a prediction model based on early and total trial data to yield higher simple and multiple correlations than a model based on late trials. Regressing the basic five independent variables on UPT outcome yielded R values of 0.334, 0.271, and 0.310 for early, late, and total trial data, respectively. The predictive validity of the basic five error scores was not incrementally increased by stepping in independent variables associated with the hypotenuse of horizontal and vertical error or stick movement. A stepwise multiple regression analysis revealed that the best two-variable prediction equation included the hypotenuse of horizontal and vertical error for both psychomotor tests (R = 0.329).
本研究的受试者为320名未来飞行员，他们接受了双手协调（2HC）和复杂协调（CC）心理运动测试的计算机化版本测试。自变量包括与这两项测试相关的五项基本误差测量指标，以及七个以前未使用过的新变量。多变量方差分析（MANOVA）和多元回归分析结果显示，这两项心理运动测试的表现与本科飞行员训练（UPT）结果显著相关。观察到一种趋势，即基于早期和总试验数据的预测模型比基于后期试验的模型产生更高的简单和多重相关性。将五个基本自变量对UPT结果进行回归分析，早期、后期和总试验数据的R值分别为0.334、0.271和0.310。与水平和垂直误差的斜边或操纵杆移动相关的自变量加入后，五个基本误差分数的预测效度并未逐步提高。逐步多元回归分析显示，最佳的双变量预测方程包括两项心理运动测试的水平和垂直误差的斜边（R = 0.329）。
