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Assessing item‐feature effects with item response tree models
British Journal of Mathematical and Statistical Psychology, 2019Recent applications of item response tree models demonstrate that this model class is well suited to detect midpoint and extremity response style effects in both attitudinal and personality measurements. This paper proposes an extension of this approach that goes beyond measuring response styles and allows us to examine item‐feature effects.
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Response Time Item Response Models
2010Response times and responses can be collected via computer adaptive testing or computer-assisted questioning. Inferences about test takers and test items can therefore be based on the response time and response accuracy information. Response times and responses are used to measure a respondent's speed of working and ability using a multivariate ...
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Randomized Item Response Models
2010Item responses can be masked before they are observed via a randomized response mechanism. This technique is used to protect individuals and improve their willingness to answer truthfully. Various traditional randomized response sampling techniques are discussed and extended to a multivariate setting.
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Faking Detection Improved: Adopting a Likert Item Response Process Tree Model
Organizational Research Methods, 2022Tianjun Sun, Mengyang Cao, Bo Zhang
exaly
A Finite Mixture Item Response Theory Model for Continuous Measurement Outcomes
Educational and Psychological Measurement, 2020Cengiz Zopluoglu
exaly