AN APPLICATION OF THE THEORY OF NEURAL COMPUTATION TO THE PREDICTION OF WORKPLACE BEHAVIOR: AN ILLUSTRATION AND ASSESSMENT OF NETWORK ANALYSIS
基于两项实地研究数据，展示了神经网络分析在预测工作行为中的四种应用，发现其交叉验证多元相关和正确分类率优于传统回归模型，值得人事科学研究者进一步探索。
Data from two field studies were used to illustrate four applications of neural network analysis, a statistical information technology based on the psychological theories of learning and cognition. Overall results showed that cross‐validation multivariate correlations and correct classifications were greater for the neural networks than for the regression model standards of comparison. It was concluded that sufficient evidence exists to warrant further research of the newly developing neural network paradigm for use by personnel scientists and specialists.