The Assignment of Scores Procedure for Ordinal Categorical Data
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/304213 |
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| _version_ | 1832553404329623552 |
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| author | Han-Ching Chen Nae-Sheng Wang |
| author_facet | Han-Ching Chen Nae-Sheng Wang |
| author_sort | Han-Ching Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-72cb718f2db84b4eb4938675bb67e124 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-72cb718f2db84b4eb4938675bb67e1242025-02-03T05:54:02ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/304213304213The Assignment of Scores Procedure for Ordinal Categorical DataHan-Ching Chen0Nae-Sheng Wang1Department of Statistics, Feng Chia University, Taichung City 407, TaiwanDepartment of Statistics, Feng Chia University, Taichung City 407, TaiwanOrdinal 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.http://dx.doi.org/10.1155/2014/304213 |
| spellingShingle | Han-Ching Chen Nae-Sheng Wang The Assignment of Scores Procedure for Ordinal Categorical Data The Scientific World Journal |
| title | The Assignment of Scores Procedure for Ordinal Categorical Data |
| title_full | The Assignment of Scores Procedure for Ordinal Categorical Data |
| title_fullStr | The Assignment of Scores Procedure for Ordinal Categorical Data |
| title_full_unstemmed | The Assignment of Scores Procedure for Ordinal Categorical Data |
| title_short | The Assignment of Scores Procedure for Ordinal Categorical Data |
| title_sort | assignment of scores procedure for ordinal categorical data |
| url | http://dx.doi.org/10.1155/2014/304213 |
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