A note on improving EAP trait estimation in oblique factor - analytic and item response theory models
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2016
- handle: 10670/1.oazap0
- 0211-2159
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Psicológica
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Pere J. Ferrando et al., « A note on improving EAP trait estimation in oblique factor - analytic and item response theory models », Psicológica, ID : 10670/1.oazap0
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"This note is about Bayes EAP scoring in the class of oblique linear and non - linear item response models that can be parameterized as factor analytic models. For these models, we propose an improv ed implementation approach that (a) provides more detailed and informative output, and (b) uses more prior information from the calibration stage. Overall, we discuss the limitations of EAP estimation as it is implemented in most available programs, provid e a technical account of the basic methodology and proposed improvements, implement the proposal in the freely available FACTOR program, and illustrate how it works with FACTOR - based output."