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Taking the missing propensity into account when estimating competence scores — Evaluation of IRT models for non-ignorable omissions

, , and . Educational and Psychological Measurement, (2015)

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Cluster-based Anchor Item Identification and Selection (NEPS Working Paper No. 68), , and . Leibniz-Institut für Bildungsverläufe, Nationales Bildungspanel, Bamberg, Deutschland, (2017)Taking the missing propensity into account when estimating competence scores — Evaluation of IRT models for non-ignorable omissions, , and . Educational and Psychological Measurement, (2015)Development of competencies across the life span, , , , , and . (2011)Taking the Missing Propensity Into Account When Estimating Competence Scores: Evaluation of Item Response Theory Models for Nonignorable Omissions, , and . Educational and Psychological Measurement, (2014)Investigating mechanisms for missing responses in competence tests, , and . Psychological Test and Assessment Modeling, (2015)Dealing With Item Nonresponse in Large-Scale Cognitive Assessments: The Impact of Missing Data Methods on Estimated Explanatory Relationships, , and . Journal of Educational Measurement, (December 2017)NEPS Technical Report – Scaling the Data of the Competence Tests, and . NEPS Working Paper, 14. German National Educational Panel Study (NEPS), Bamberg, (2012)Performance of missing data approaches in retrieving group-level parameters, , and . (2015)Estimating Plausible Values with NEPS Data: An Example Using Reading Competence in Starting Cohort 6, , and . NEPS Survey Paper, X. Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study, (2020)Bayesian estimation in IRT models with missing values in background variables, , , and . Psychological Test and Assessment Modeling, 57 (4): 595-618 (2015)