Zambia Multiple Category Targeting Grant Evaluation

2021 ◽  
Author(s):  
Sudhanshu Handa ◽  
David Seidenfeld
Keyword(s):  
Multiple Category

Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases.

ChemInform ◽  
2006 ◽  
Vol 37 (30) ◽  
Author(s):  
Nidhi Nidhi ◽  
Meir Glick ◽  
John W. Davies ◽  
Jeremy L. Jenkins
Keyword(s):  
Bayesian Models ◽  
Biological Targets ◽  
Multiple Category

scholarly journals Multiple Category Memberships in Markets: An Integrative Theory and Two Empirical Tests

2009 ◽  
Vol 74 (1) ◽  
pp. 150-169 ◽  
Author(s):  
Greta Hsu ◽  
Michael T. Hannan ◽  
Özgecan Koçak
Keyword(s):  
Integrative Theory ◽  
Multiple Category ◽  
Empirical Tests

A Comparison of Graded Response and Rasch Partial Credit Models with Subjective Well-Being

2000 ◽  
Vol 25 (3) ◽  
pp. 253-270 ◽  
Author(s):  
John G. Baker ◽  
James B. Rounds ◽  
Michael A. Zevon
Keyword(s):  
Well Being ◽  
Item Parameter ◽  
Partial Credit Model ◽  
Subjective Well Being ◽  
Partial Credit ◽  
Data Set ◽  
Principle Components Analysis ◽  
Graded Responses ◽  
Graded Response ◽  
Multiple Category

Two multiple category item response theory models are compared using a data set of 52 mood terms with 713 subjects. Tellegen’s (1985) model of mood with two independent, unipolar dimensions of positive and negative affect provided a theoretical basis for the assumption of unidimensionality. Principle components analysis and item parameter tests supported the unidimensionality assumption. Comparative model data fit for the Samejima (1969) logistic model for graded responses and the Masters (1982) partial credit model favored the former model for this particular data set. Theoretical and practical aspects of the comparative application of multiple category models in the measurement of subjective well-being or mood are discussed.

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