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The Assignment of Scores Procedure for Ordinal Categorical Data
by
Chen, Han-Ching
, Wang, Nae-Sheng
in
Alcohol Drinking - adverse effects
/ Alcohol Drinking - epidemiology
/ Analysis
/ Case studies
/ Data Collection - classification
/ Data Collection - methods
/ Economic models
/ Female
/ Humans
/ Pregnancy
/ Prenatal Exposure Delayed Effects - classification
/ Prenatal Exposure Delayed Effects - epidemiology
/ Prospective Studies
/ Random variables
/ Religion
/ Social science research
/ Social sciences
/ Statistical analysis
/ Statistical methods
2014
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The Assignment of Scores Procedure for Ordinal Categorical Data
by
Chen, Han-Ching
, Wang, Nae-Sheng
in
Alcohol Drinking - adverse effects
/ Alcohol Drinking - epidemiology
/ Analysis
/ Case studies
/ Data Collection - classification
/ Data Collection - methods
/ Economic models
/ Female
/ Humans
/ Pregnancy
/ Prenatal Exposure Delayed Effects - classification
/ Prenatal Exposure Delayed Effects - epidemiology
/ Prospective Studies
/ Random variables
/ Religion
/ Social science research
/ Social sciences
/ Statistical analysis
/ Statistical methods
2014
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Do you wish to request the book?
The Assignment of Scores Procedure for Ordinal Categorical Data
by
Chen, Han-Ching
, Wang, Nae-Sheng
in
Alcohol Drinking - adverse effects
/ Alcohol Drinking - epidemiology
/ Analysis
/ Case studies
/ Data Collection - classification
/ Data Collection - methods
/ Economic models
/ Female
/ Humans
/ Pregnancy
/ Prenatal Exposure Delayed Effects - classification
/ Prenatal Exposure Delayed Effects - epidemiology
/ Prospective Studies
/ Random variables
/ Religion
/ Social science research
/ Social sciences
/ Statistical analysis
/ Statistical methods
2014
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The Assignment of Scores Procedure for Ordinal Categorical Data
Journal Article
The Assignment of Scores Procedure for Ordinal Categorical Data
2014
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Overview
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.
Publisher
Hindawi Publishing Corporation,John Wiley & Sons, Inc,Hindawi Limited,Wiley
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