International Conference on Ordinal Data Analysis (2nd) Held in Amherst, Massachusetts on October 15-17, 1993

1993 ◽  
Author(s):  
Melvin F. Janowitz
Keyword(s):  
Data Analysis ◽  
Ordinal Data ◽  
International Conference ◽  
Ordinal Data Analysis

Consistency in ordinal data analysis I

2002 ◽  
Vol 43 (1) ◽  
pp. 79-113 ◽  
Author(s):  
Gerhard Herden ◽  
Andreas Pallack
Keyword(s):  
Data Analysis ◽  
Ordinal Data ◽  
Ordinal Data Analysis

Test Scaling and Value-Added Measurement

2009 ◽  
Vol 4 (4) ◽  
pp. 351-383 ◽  
Author(s):  
Dale Ballou
Keyword(s):  
Data Analysis ◽  
Item Response Theory ◽  
Item Response ◽  
Ordinal Data ◽  
Value Added ◽  
Interval Scale ◽  
Response Theory ◽  
Metric Properties ◽  
Ordinal Data Analysis ◽  
Ordinal Methods

Conventional value-added assessment requires that achievement be reported on an interval scale. While many metrics do not have this property, application of item response theory (IRT) is said to produce interval scales. However, it is difficult to confirm that the requisite conditions are met. Even when they are, the properties of the data that make a test IRT scalable may not be the properties we seek to represent in an achievement scale, as shown by the lack of surface plausibility of many scales resulting from the application of IRT. An alternative, ordinal data analysis, is presented. It is shown that value-added estimates are sensitive to the choice of ordinal methods over conventional techniques. Value-added practitioners should ask themselves whether they are so confident of the metric properties of these scales that they are willing to attribute differences to the superiority of the latter.

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