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• W2081837282 abstract "Rasch used a Poisson model to analyze errors and speed in reading tests. An important property of the Poisson distribution is that the mean and variance are equal. However, in social science research, it is very common for the variance to be greater than the mean (i.e., the data are overdispersed). This study embeds the Rasch model within an overdispersion framework and proposes new estimation methods. The parameters in the proposed model can be estimated using the Markov chain Monte Carlo method implemented in WinBUGS and the marginal maximum likelihood method implemented in SAS. An empirical example based on models generated by the results of empirical data, which are fitted and discussed, is examined." @default.
• W2081837282 created "2016-06-24" @default.
• W2081837282 creator A5075402391 @default.
• W2081837282 date "2012-01-24" @default.
• W2081837282 modified "2023-10-18" @default.
• W2081837282 title "A Negative Binomial Regression Model for Accuracy Tests" @default.
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• W2081837282 doi "https://doi.org/10.1177/0146621611429548" @default.
• W2081837282 hasPublicationYear "2012" @default.
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