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Hung, Lai-Fa – Applied Psychological Measurement, 2012
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…
Descriptors: Social Science Research, Markov Processes, Reading Tests, Social Sciences
Attali, Yigal – Applied Psychological Measurement, 2011
Recently, Attali and Powers investigated the usefulness of providing immediate feedback on the correctness of answers to constructed response questions and the opportunity to revise incorrect answers. This article introduces an item response theory (IRT) model for scoring revised responses to questions when several attempts are allowed. The model…
Descriptors: Feedback (Response), Item Response Theory, Models, Error Correction
Peer reviewedMeijer, Rob R. – Applied Psychological Measurement, 1994
Through simulation, the power of the U3 statistic was compared with the power of one of the simplest person-fit statistics, the sum of the number of Guttman errors. In most cases, a weighted version of the latter statistic performed as well as the U3 statistic. (SLD)
Descriptors: Error Patterns, Item Response Theory, Nonparametric Statistics, Power (Statistics)
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1993
Using simulation, the effect that misspecification of elements in the weight matrix has on estimates of basic parameters of the linear logistic test model was studied. Results indicate that, because specifying elements of the weight matrix is a subjective process, it must be done with great care. (SLD)
Descriptors: Error Patterns, Estimation (Mathematics), Item Response Theory, Matrices

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