The Assignment of Scores Procedure for Ordinal Categorical Data
Joint Authors
Chen, Han-Ching
Wang, Nae-Sheng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Ordinal data are the most frequently encountered type of data in the social sciences.
Many statistical methods can be used to process such data.
One common method is to assign scores to the data, convert them into interval data, and further perform statistical analysis.
There are several authors who have recently developed assigning score methods to assign scores to ordered categorical data.
This paper proposes an approach that defines an assigning score system for an ordinal categorical variable based on underlying continuous latent distribution with interpretation by using three case study examples.
The results show that the proposed score system is well for skewed ordinal categorical data.
American Psychological Association (APA)
Chen, Han-Ching& Wang, Nae-Sheng. 2014. The Assignment of Scores Procedure for Ordinal Categorical Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1049144
Modern Language Association (MLA)
Chen, Han-Ching& Wang, Nae-Sheng. The Assignment of Scores Procedure for Ordinal Categorical Data. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1049144
American Medical Association (AMA)
Chen, Han-Ching& Wang, Nae-Sheng. The Assignment of Scores Procedure for Ordinal Categorical Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1049144
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049144