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The analysis of the data for two-way contingency tables
1The Ohio State University, College of Nursing, Columbus 43210, USA.
Research in Nursing & Health
|May 27, 1999
Summary
This study introduces a canonical correlation analysis method for two-way contingency tables. It avoids pre-assigned scale values, offering a robust way to analyze categorical data relationships.
Area of Science:
- Statistics
- Data Analysis
Background:
- Two-way contingency tables are common in statistical analysis.
- Analyzing relationships within these tables often requires pre-defined scales, limiting flexibility.
Purpose of the Study:
- To present a method for analyzing two-way contingency tables.
- To apply canonical correlation analysis principles to categorical data.
- To avoid the need for a priori scale value specification.
Main Methods:
- The study details a method based on Williams (1952) and Guttman (1971).
- This approach adapts canonical correlation analysis for contingency table data.
- It allows for the exploration of variable relationships without pre-set scales.
Main Results:
- The described method provides an effective way to analyze contingency table data.
- It offers an alternative to approaches requiring a priori scale specification.
- Examples demonstrate the practical application of the method.
Conclusions:
- The canonical correlation-based method is a powerful tool for analyzing two-way contingency tables.
- It enhances data analysis by removing the constraint of pre-specified scales.
- The method is versatile and applicable in various data analysis scenarios.
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