Matthias von Davier

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Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing Trees

Lale Khorramdel, Matthias von Davier, Lale Khorramdel, 2014, Multivariate behavioral research.

Why item parcels are (almost) never appropriate: two wrongs do not make a right--camouflaging misspecification with item parcels in CFA models.

H. Marsh, Matthias von Davier, A. Morin, 2013, Psychological methods.

International Large-Scale Assessment Data

Matthias von Davier, Eugenio Gonzalez, Leslie Rutkowski, 2010 .

A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys

Minjeong Jeon, Sophia Rabe-Hesketh, Frank Rijmen, 2014 .

Toward Increasing Fairness in Score Scale Calibrations Employed in International Large-Scale Assessments

Maria Elena Oliveri, Matthias von Davier, Matthias von Davier, 2014 .

Investigating Rater Effects in International Large-Scale Assessments

M. Davier, Matthias von Davier, Kentaro Yamamoto, 2019, Theoretical and Practical Advances in Computer-based Educational Measurement.

Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

Qiwei He, Matthias von Davier, Z. Han, 2019, Front. Psychol..

Diagnosing Diagnostic Models: From Von Neumann’s Elephant to Model Equivalencies and Network Psychometrics

Matthias von Davier, 2018 .

A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item-level non-response.

Steffi Pohl, Esther Ulitzsch, Matthias von Davier, 2019, The British journal of mathematical and statistical psychology.

Effects of Discontinue Rules on Psychometric Properties of Test Scores

Matthias von Davier, Tianshu Pan, Youngmi Cho, 2019, Psychometrika.

The use of test scores from large-scale assessment surveys: psychometric and statistical considerations

H. Braun, Matthias von Davier, 2017, Large-scale Assessments in Education.

A Robust Method for Detecting Item Misfit in Large Scale Assessments

Matthias von Davier, Ummugul Bezirhan, 2021, Educational and Psychological Measurement.

New developments in testing probabilistic models

B. Strauss, Matthias von Davier, 2003 .

Comparing College Aspirations across PISA Countries: Are 17 Percent Oranges Less than 75 Percent Apples?

Matthias von Davier, H. Tam, 2020 .

Can students’ attitudes towards mathematics and science be compared across countries? Evidence from measurement invariance modeling in TIMSS 2019

Lale Khorramdel, Matthias von Davier, Katherine Reynolds, 2022, Studies in Educational Evaluation.

Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary

S. Haberman, Matthias von Davier, 2014, Psychometrika.

Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling

Kevin Carl P. Santos, Matthias von Davier, J. de la Torre, 2019, Journal of Classification.

A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data

Lale Khorramdel, Matthias von Davier, S. Pohl, 2021, Psychometrika.

Using Response Times to Model Not-Reached Items due to Time Limits

Matthias von Davier, S. Pohl, Esther Ulitzsch, 2019, Psychometrika.

Modeling Omitted and Not-Reached Items in IRT Models

Matthias von Davier, Norman Rose, B. Nagengast, 2016, Psychometrika.

Automated Item Generation with Recurrent Neural Networks

Matthias von Davier, 2018, Psychometrika.

An Alternative Way to Model Population Ability Distributions in Large-Scale Educational Surveys

Eunike Wetzel, Xueli Xu, Matthias von Davier, 2015, Educational and psychological measurement.

A Note on Construct Validity of the Anchoring Method in PISA 2012

L. Stankov, Matthias von Davier, Jihyun Lee, 2018 .

Modeling Item Revisit Behavior: The Hierarchical Speed–Accuracy–Revisits Model

Matthias von Davier, Ummugul Bezirhan, Irina Grabovsky, 2020, Educational and psychological measurement.

Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities

Hyo Jeong Shin, Qiwei He, Matthias von Davier, 2019, Journal of Educational and Behavioral Statistics.

Book Review: Introduction to Rasch Measurement

Matthias von Davier, 2006 .

A Conditional Item-Fit Index for Rasch Models

Jürgen Rost, Matthias von Davier, Matthias von Davier, 1994 .

Combining mixture distribution and multidimensional IRTree models for the measurement of extreme response styles.

Lale Khorramdel, Matthias von Davier, A. Pokropek, 2019, The British journal of mathematical and statistical psychology.

Factorial Versus Typological Models: A Comparison of Methods for Personality Data

Richard D. Roberts, Matthias von Davier, Bobby Naemi, 2012 .

A general diagnostic model applied to language testing data.

Matthias von Davier, Matthias von Davier, 2008, The British journal of mathematical and statistical psychology.

Automated Item Generation with Recurrent Neural Networks

Matthias von Davier, Matthias von Davier, 2018, Psychometrika.

A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data

Lale Khorramdel, Matthias von Davier, S. Pohl, 2021, Psychometrika.

The Effects of Vignette Scoring on Reliability and Validity of Self-Reports

L. Stankov, Lale Khorramdel, Matthias von Davier, 2018, Applied psychological measurement.

Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles

Lale Khorramdel, Matthias von Davier, S. Pohl, 2023, Journal of Educational and Behavioral Statistics.

Using Response Times for Joint Modeling of Response and Omission Behavior

Steffi Pohl, Esther Ulitzsch, Matthias von Davier, 2019, Multivariate behavioral research.

Model meets reality: Validating a new behavioral measure for test-taking effort

Steffi Pohl, Esther Ulitzsch, Matthias von Davier, 2021 .

Using Response Times to Model Not-Reached Items due to Time Limits

Steffi Pohl, Esther Ulitzsch, Matthias von Davier, 2019, Psychometrika.

Conditional Subscore Reporting Using Iterated Discrete Convolutions

Matthias von Davier, Richard A. Feinberg, R. Feinberg, 2020 .

The use of test scores from large-scale assessment surveys: psychometric and statistical considerations

H. Braun, Matthias von Davier, 2017 .

Effects of Discontinue Rules on Psychometric Properties of Test Scores

Matthias von Davier, Tianshu Pan, Youngmi Cho, 2019, Psychometrika.

Modeling Omitted and Not-Reached Items in IRT Models

Norman Rose, Matthias von Davier, Benjamin Nagengast, 2017, Psychometrika.

Reframing rankings in educational assessments

Matthias von Davier, S. Pohl, Esther Ulitzsch, 2021, Science.

An Importance Sampling EM Algorithm for Latent Regression Models

S. Sinharay, Matthias von Davier, 2007 .

Why item parcels are (almost) never appropriate: two wrongs do not make a right--camouflaging misspecification with item parcels in CFA models.

H. Marsh, Matthias von Davier, A. Morin, 2013, Psychological methods.

Partially Observed Mixtures of IRT Models: An Extension of the Generalized Partial-Credit Model

Kentaro Yamamoto, Matthias von Davier, Kentaro Yamamoto, 2003 .

A Multiprocess Item Response Model for Not-Reached Items due to Time Limits and Quitting

Steffi Pohl, Esther Ulitzsch, Matthias von Davier, 2019, Educational and psychological measurement.

Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural Networks

Lale Khorramdel, Matthias von Davier, Lillian Tyack, 2023, Educational and psychological measurement.

A semiparametric approach for item response function estimation to detect item misfit.

Alexander Robitzsch, Johannes Hartig, Matthias von Davier, 2020, The British journal of mathematical and statistical psychology.