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The Estimation of Item Response Models with the lmer Function from the lme4 Package in R

Citations

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Cited by:

  1. Sun-Joo Cho & Jennifer Gilbert & Amanda Goodwin, 2013. "Explanatory Multidimensional Multilevel Random Item Response Model: An Application to Simultaneous Investigation of Word and Person Contributions to Multidimensional Lexical Representations," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 830-855, October.
  2. Jiangtao Hong & Bo Pang & Lirong Zhao & Shumiao Shu & Puyu Feng & Fang Liu & Ziyin Du & Xiaodan Wang, 2025. "Soil phosphorus crisis in the Tibetan alpine permafrost region," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  3. Haiyan Yu & Bing Han & Nicholas Rios & Jianbin Chen, 2024. "Missing Data Imputation in Balanced Construction for Incomplete Block Designs," Mathematics, MDPI, vol. 12(21), pages 1-22, October.
  4. Syed Latifi & Okan Bulut & Mark Gierl & Thomas Christie & Shehzad Jeeva, 2016. "Differential Performance on National Exams," SAGE Open, , vol. 6(2), pages 21582440166, June.
  5. Benjamin W. Domingue & Klint Kanopka & Ben Stenhaug & Michael J. Sulik & Tanesia Beverly & Matthieu Brinkhuis & Ruhan Circi & Jessica Faul & Dandan Liao & Bruce McCandliss & Jelena Obradović & Chris , 2022. "Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings," Journal of Educational and Behavioral Statistics, , vol. 47(5), pages 576-602, October.
  6. Meng-Jie Wang & Kumar Yogeeswaran & Kyle Nash & Sivanand Sivaram, 2024. "Morality and partisan social media engagement: a natural language examination of moral political messaging and engagement during the 2018 US midterm elections," Journal of Computational Social Science, Springer, vol. 7(2), pages 1699-1726, October.
  7. repec:plo:pone00:0197516 is not listed on IDEAS
  8. Joshua B. Gilbert & Zachary Himmelsbach & James Soland & Mridul Joshi & Benjamin W. Domingue, 2024. "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory," Papers 2405.00161, arXiv.org, revised Jan 2025.
  9. Li, Kai & Chen, Pei-Ying & Yan, Erjia, 2019. "Challenges of measuring software impact through citations: An examination of the lme4 R package," Journal of Informetrics, Elsevier, vol. 13(1), pages 449-461.
  10. Hanadate, Shuhei & Yamaguchi, Kazuhiro, 2025. "Simulation-based sensitivity analysis for sample size planning of Rasch family models," OSF Preprints pu53j_v1, Center for Open Science.
  11. Joshua B. Gilbert & James S. Kim & Luke W. Miratrix, 2023. "Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions," Journal of Educational and Behavioral Statistics, , vol. 48(6), pages 889-913, December.
  12. Andrés López-Sepulcre & Sebastiano De Bona & Janne K. Valkonen & Kate D.L. Umbers & Johanna Mappes, 2015. "Item Response Trees: a recommended method for analyzing categorical data in behavioral studies," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(5), pages 1268-1273.
  13. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
  14. Ringstad, Ingrid Emilie Flessum & Benini, Giacomo & Dotti, Valerio & Tselika, Kyriaki, 2025. "The Shadow of Uncertainty: Climate Policy and the Value of Petroleum Resources," Discussion Papers 2025/22, Norwegian School of Economics, Department of Business and Management Science, revised 01 Sep 2025.
  15. Minjeong Jeon & Sophia Rabe-Hesketh, 2012. "Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures," Journal of Educational and Behavioral Statistics, , vol. 37(4), pages 518-542, August.
  16. repec:jss:jstsof:40:i05 is not listed on IDEAS
  17. Minjeong Jeon & Sophia Rabe-Hesketh, 2016. "An autoregressive growth model for longitudinal item analysis," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 830-850, September.
  18. Antonio Caronni & Marina Ramella & Pietro Arcuri & Claudia Salatino & Lucia Pigini & Maurizio Saruggia & Chiara Folini & Stefano Scarano & Rosa Maria Converti, 2023. "The Rasch Analysis Shows Poor Construct Validity and Low Reliability of the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 (QUEST 2.0) Questionnaire," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
  19. Boris Forthmann & Marie Beisemann & Philipp Doebler & Rüdiger Mutz, 2025. "Reliable individual differences in researcher performance capacity estimates: evaluating productivity as explanatory variable," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(1), pages 43-66, January.
  20. Sun, Katherine Qianwen & Slepian, Michael L., 2020. "The conversations we seek to avoid," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 87-105.
  21. Joshua B. Gilbert & Zachary Himmelsbach & James Soland & Mridul Joshi & Benjamin W. Domingue, 2025. "Estimating heterogeneous treatment effects with item‐level outcome data: Insights from Item Response Theory," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 44(4), pages 1417-1449, September.
  22. Boris Forthmann & Philipp Doebler, 2021. "Reliability of researcher capacity estimates and count data dispersion: a comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3337-3354, April.
  23. Cheng Gao & Ling Xu & Liliam Montoya & Mary Madera & Joy Hollingsworth & Liang Chen & Elizabeth Purdom & Vasanth Singan & John Vogel & Robert B. Hutmacher & Jeffery A. Dahlberg & Devin Coleman-Derr & , 2022. "Co-occurrence networks reveal more complexity than community composition in resistance and resilience of microbial communities," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  24. Dellaert, Benedict G.C. & Arentze, Theo & Horeni, Oliver & Timmermans, Harry J.P., 2017. "Deriving attribute utilities from mental representations of complex decisions," Journal of choice modelling, Elsevier, vol. 22(C), pages 24-38.
  25. Joshua B. Gilbert & Luke W. Miratrix & Mridul Joshi & Benjamin W. Domingue, 2025. "Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity," Journal of Educational and Behavioral Statistics, , vol. 50(1), pages 72-101, February.
  26. Niccolò Cao & Antonio Calcagnì, 2022. "Jointly Modeling Rating Responses and Times with Fuzzy Numbers: An Application to Psychometric Data," Mathematics, MDPI, vol. 10(7), pages 1-11, March.
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