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The Analysis Of The Data Of Mental Health Status Based On GPCM Model

Posted on:2012-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:X YaoFull Text:PDF
GTID:2217330368996954Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
Item response theory (IRT) has been playing an important role in the development of educational and psychological measurement, which has become a central method in measurement theory. By using the Generalized Partial Credit Model (GPCM) and the Expectation-Maximization (EM) algorithm, we analyze the data of mental health of graduate students in Northeast Normal University. The data set was collected based on"Chinese Under-graduate Mental Health Scale"in2010. Our research results show that the mental status of graduate students is generally good except for some female graduate students. Furthermore, male students have a better mental health than female. Finally, some suggestions are given to improve the mental health of graduate students.
Keywords/Search Tags:IRT(Item Response Theory), GPCM(Generalized Partial Credit Model), EM Algorithm (Expectation-Maximization ), Chinese Mental Health Scale
PDF Full Text Request
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