跨文化研究中的神经网络建模:与多元回归的比较

Neural Network Modeling in Cross-Cultural Research: A Comparison with Multiple Regression

ORGANIZATIONAL RESEARCH METHODS · 2004
被引 33
人大 A-ABS 4

中文导读

介绍神经网络作为替代方法,研究文化维度与公平感知的关系,并证明其比多元回归能更准确地建模数据关系,为管理研究者提供神经网络模型开发与验证的指南。

Abstract

This article describes the use of neural networks as an alternative method to investigate the links between various dimensions of culture and perceptions of justice and demonstrates their ability to model the data relationships with higher accuracy than multiple regression analysis. A complete discussion of the development and validation of the neural network models is included as a guide to researchers in management who are interested in exploring this methodology.

跨文化研究神经网络多元回归管理研究数据分析方法