本文是就有序變數的模型在 個不同“維度”的架構下做探討，主要可以區分成兩部份。
1.就兩個有序變數的二維列聯表，我們介紹ＲＣ（Ｍ）模型，並分別探討關聯性模型，相關性模型及對應分析模型。
2.就三個變數的三維列聯表，在給定一個變數的情形之下，我們討論了如何運用三變數的ＲＣ（Ｍ）關聯性模型來探討另外兩個有序變數間的關係。 / We examine statistical models for ordinal variables that allow for more then one“ dimension ”of association in this study. The focus are on the following two types of models:
1. RC(M) models for two ordinal variables, including RC(M) association model; RC(M) correlation model and RC(M) correspondence analysis model.
2. Conditional RC(M) association models which can be used to analyze a 3-way contingency table with at least two ordinal variables.
| Identifer | oai:union.ndltd.org:CHENGCHI/A2002001345 |
| Creators | 高佩瑄, Kao, Pei-Hsuan |
| Publisher | 國立政治大學 |
| Source Sets | National Chengchi University Libraries |
| Language | 中文 |
| Detected Language | English |
| Type | text |
| Rights | Copyright © nccu library on behalf of the copyright holders |
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