Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Brinkhuis, Matthieu J. S.
Bakker, Marjan
and
Maris, Gunter
2015.
Filtering Data for Detecting Differential Development.
Journal of Educational Measurement,
Vol. 52,
Issue. 3,
p.
319.
González, Jorge
and
Wiberg, Marie
2017.
Applying Test Equating Methods.
p.
111.
Zwitser, Robert J.
Glaser, S. Sjoerd F.
and
Maris, Gunter
2017.
Monitoring Countries in a Changing World: A New Look at DIF in International Surveys.
Psychometrika,
Vol. 82,
Issue. 1,
p.
210.
Marsman, M.
Borsboom, D.
Kruis, J.
Epskamp, S.
van Bork, R.
Waldorp, L. J.
Maas, H. L. J. van der
and
Maris, G.
2018.
An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models.
Multivariate Behavioral Research,
Vol. 53,
Issue. 1,
p.
15.
Wang, Ting
Strobl, Carolin
Zeileis, Achim
and
Merkle, Edgar C.
2018.
Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation.
Psychometrika,
Vol. 83,
Issue. 1,
p.
132.
CHEN, Guanyu
and
CHEN, Ping
2019.
Explanatory item response theory models: Theory and application.
Advances in Psychological Science,
Vol. 27,
Issue. 5,
p.
937.
Feskens, Remco
Fox, Jean-Paul
and
Zwitser, Robert
2019.
Theoretical and Practical Advances in Computer-based Educational Measurement.
p.
231.
Doebler, Anna
2019.
Looking at DIF From a New Perspective: A Structure-Based Approach Acknowledging Inherent Indefinability.
Applied Psychological Measurement,
Vol. 43,
Issue. 4,
p.
303.
Fox, Jean-Paul
Koops, Jesse
Feskens, Remco
and
Beinhauer, Lukas
2020.
Bayesian covariance structure modelling for measurement invariance testing.
Behaviormetrika,
Vol. 47,
Issue. 2,
p.
385.
Lameijer, C. M.
van Bruggen, S. G. J.
Haan, E. J. A.
Van Deurzen, D. F. P.
Van der Elst, K.
Stouten, V.
Kaat, A. J.
Roorda, L. D.
and
Terwee, C. B.
2020.
Graded response model fit, measurement invariance and (comparative) precision of the Dutch-Flemish PROMIS® Upper Extremity V2.0 item bank in patients with upper extremity disorders.
BMC Musculoskeletal Disorders,
Vol. 21,
Issue. 1,
Robitzsch, Alexander
2020.
Robust Haebara Linking for Many Groups: Performance in the Case of Uniform DIF.
Psych,
Vol. 2,
Issue. 3,
p.
155.
Robitzsch, Alexander
2020.
Lp Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups.
Stats,
Vol. 3,
Issue. 3,
p.
246.
Huelmann, Thorben
Debelak, Rudolf
and
Strobl, Carolin
2020.
A Comparison of Aggregation Rules for Selecting Anchor Items in Multigroup DIF Analysis.
Journal of Educational Measurement,
Vol. 57,
Issue. 2,
p.
185.
Debelak, Rudolf
and
Koller, Ingrid
2020.
Testing the Local Independence Assumption of the Rasch Model WithQ3-Based Nonparametric Model Tests.
Applied Psychological Measurement,
Vol. 44,
Issue. 2,
p.
103.
Deonovic, Benjamin
Bolsinova, Maria
Bechger, Timo
and
Maris, Gunter
2020.
A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning Systems.
Frontiers in Psychology,
Vol. 11,
Issue. ,
Robitzsch, Alexander
2021.
Robust and Nonrobust Linking of Two Groups for the Rasch Model with Balanced and Unbalanced Random DIF: A Comparative Simulation Study and the Simultaneous Assessment of Standard Errors and Linking Errors with Resampling Techniques.
Symmetry,
Vol. 13,
Issue. 11,
p.
2198.
Pohl, Steffi
Schulze, Daniel
and
Stets, Eric
2021.
Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items.
Applied Psychological Measurement,
Vol. 45,
Issue. 7-8,
p.
477.
Cuellar, Edwin
Partchev, Ivailo
Zwitser, Robert
and
Bechger, Timo
2021.
Making sense out of measurement non-invariance: how to explore differences among educational systems in international large-scale assessments.
Educational Assessment, Evaluation and Accountability,
Vol. 33,
Issue. 1,
p.
9.
Terwee, Caroline B.
Crins, Martine H.P.
Roorda, Leo D.
Cook, Karon F.
Cella, David
Smits, Niels
and
Schalet, Benjamin D.
2021.
International application of PROMIS computerized adaptive tests: US versus country-specific item parameters can be consequential for individual patient scores.
Journal of Clinical Epidemiology,
Vol. 134,
Issue. ,
p.
1.
Yuan, Ke-Hai
Liu, Hongyun
and
Han, Yuting
2021.
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test.
Psychometrika,
Vol. 86,
Issue. 2,
p.
345.