Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
McDonald, Roderick P.
2011.
Measuring Latent Quantities.
Psychometrika,
Vol. 76,
Issue. 4,
p.
511.
van der Linden, Wim J.
2012.
On Compensation in Multidimensional Response Modeling.
Psychometrika,
Vol. 77,
Issue. 1,
p.
21.
Jordan, Pascal
and
Spiess, Martin
2012.
Generalizations of Paradoxical Results in Multidimensional Item Response Theory.
Psychometrika,
Vol. 77,
Issue. 1,
p.
127.
van Rijn, Peter W.
and
Rijmen, Frank
2012.
A NOTE ON EXPLAINING AWAY AND PARADOXICAL RESULTS IN MULTIDIMENSIONAL ITEM RESPONSE THEORY.
ETS Research Report Series,
Vol. 2012,
Issue. 2,
Reckase, Mark D.
and
Luo, Xin
2015.
Quantitative Psychology Research.
Vol. 89,
Issue. ,
p.
465.
Jordan, Pascal
and
Spiess, Martin
2018.
A New Explanation and Proof of the Paradoxical Scoring Results in Multidimensional Item Response Models.
Psychometrika,
Vol. 83,
Issue. 4,
p.
831.
Jordan, Pascal
and
Spiess, Martin
2018.
On Fair Person Classification Based on Efficient Factor Score Estimates in the Multidimensional Factor Analysis Model.
Psychometrika,
Vol. 83,
Issue. 3,
p.
563.
Jordan, Pascal
and
Spiess, Martin
2019.
Rethinking the Interpretation of Item Discrimination and Factor Loadings.
Educational and Psychological Measurement,
Vol. 79,
Issue. 6,
p.
1103.
Ul Hassan, Mahmood
and
Miller, Frank
2022.
Discrimination with unidimensional and multidimensional item response theory models for educational data.
Communications in Statistics - Simulation and Computation,
Vol. 51,
Issue. 6,
p.
2992.
Markon, Kristian E.
2023.
Reliability as Lindley Information.
Multivariate Behavioral Research,
Vol. 58,
Issue. 4,
p.
815.
Jordan, Pascal
2023.
On Reverse Shrinkage Effects and Shrinkage Overshoot.
Psychometrika,
Vol. 88,
Issue. 1,
p.
274.
Ayanwale, Musa Adekunle
Amusa, Jamiu Oluwadamilare
Oladejo, Adekunle Ibrahim
and
Ayedun, Funmilayo
2024.
Multidimensional item Response Theory Calibration of Dichotomous Response Structure Using R Language for Statistical Computing.
Interchange,
Vol. 55,
Issue. 1,
p.
137.