DocumentCode :
2623748
Title :
The principle of Rasch model and compare with the other models
Author :
Yuan, Shuli ; Zhao, Shouying ; Bai, Hui
Author_Institution :
Educ. Sci. Sch., Guizhou Normal Univ., Guiyang, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
3731
Lastpage :
3733
Abstract :
Rasch model for solving the measurement of objectivity provides a feasible good solution, it causes abroad psychometric and other fields´ scholars´ wide attention. But so far the related research and exploration in domestic is very few. Rasch model is different from item response theory, it must conform to the model data collected a priory theory. Different data has different analysis method according to different criteria, it has different computing method when different conditions, for example, logit analysis, conditions logistic analysis, unconditional logistic analysis, etc. And Logistic regression model parameter estimation often uses maximum likelihood estimation method.
Keywords :
data analysis; parameter estimation; psychometric testing; regression analysis; Rasch model; data analysis method; item response theory; logistic regression model; logit analysis; maximum likelihood estimation method; parameter estimation; unconditional logistic analysis; Adaptation models; Analytical models; Computational modeling; Data models; Education; Logistics; Psychology; Item response theory; Maximum likelihood estimate; Rasch model; logit analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974856
Filename :
5974856
Link To Document :
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