Nonparametric Models and Methods for Analysis of Covariance in Social Sciences Research

这项研究的目标是开发一系列完全非参数的统计方法和相关软件，用于社会科学研究。这些程序需要最少的建模假设，具有理想的不变性，将允许分析所有类型的有序数据(连续的、有序的分类数据和有联系的数据)，还将允许数据独立或依赖(例如，在纵向研究中)。开发的软件将包括SAS宏和S+功能，将通过几个万维网向社会科学研究人员提供。

The objective of this research is to develop a family of fully nonparametric statistical methods and associated software for use in social sciences research. These procedures require minimal modeling assumptions, possess desirable invariance properties, will allow the analysis of all types of ordinal data (continuous, ordered categorical, and data with ties), and will also permit the data to be either independent or dependent (as, for example, in longitudinal studies). The software developed will consist of SAS macros and S-plus functions which will be made available to researchers in the social sciences through several World-Wide-Web sites.