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A rasch model for partial credit scoring

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  1. Janna Niens & Lisa Richter-Beuschel & Tobias C. Stubbe & Susanne Bögeholz, 2021. "Procedural Knowledge of Primary School Teachers in Madagascar for Teaching and Learning towards Land-Use- and Health-Related Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-36, August.
  2. Matthias Davier & Xueli Xu & Claus Carstensen, 2011. "Measuring Growth in a Longitudinal Large-Scale Assessment with a General Latent Variable Model," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 318-336, April.
  3. Dirk Lubbe & Christof Schuster, 2020. "A Scaled Threshold Model for Measuring Extreme Response Style," Journal of Educational and Behavioral Statistics, , vol. 45(1), pages 86-107, February.
  4. Giorgio Montanari & M. Ranalli & Paolo Eusebi, 2011. "Latent variable modeling of disability in people aged 65 or more," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 49-63, March.
  5. 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.
  6. David Andrich, 2010. "Sufficiency and Conditional Estimation of Person Parameters in the Polytomous Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 292-308, June.
  7. Alexandra Rouquette & Jean-Benoit Hardouin & Alexis Vanhaesebrouck & Véronique Sébille & Joël Coste, 2019. "Differential Item Functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the Rasch model framework," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.
  8. Pau García-Grau & R. A. McWilliam & Gabriel Martínez-Rico & Catalina P. Morales-Murillo, 2021. "Rasch Analysis of the Families in Early Intervention Quality of Life (FEIQoL) Scale," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(1), pages 383-399, February.
  9. Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014. "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 971-985.
  10. De Boeck, Paul & Partchev, Ivailo, 2012. "IRTrees: Tree-Based Item Response Models of the GLMM Family," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(c01).
  11. repec:zbw:rwirep:0378 is not listed on IDEAS
  12. Miloš Kankaraš & Jeroen K. Vermunt & Guy Moors, 2011. "Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches," Sociological Methods & Research, , vol. 40(2), pages 279-310, May.
  13. Leonardo Grilli & Carla Rampichini, 2019. "Discussion of ‘The class of CUB models: statistical foundations, inferential issues and empirical evidence’ by Domenico Piccolo and Rosaria Simone," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 459-463, September.
  14. Francesco Talarico & Carolina Fellinghauer & Giuseppe Andrea De Biase & Pietro Gareri & Sebastiano Capurso & Paolo Moneti & Angela Caruso & Valentina Chiatante & Emanuela Gentile & Monica Malerba & La, 2022. "Validation of PARADISE 24 and Development of PARADISE-EDEN 36 in Patients with Dementia," IJERPH, MDPI, vol. 19(11), pages 1-21, June.
  15. Timothy R. Johnson & Daniel M. Bolt, 2010. "On the Use of Factor-Analytic Multinomial Logit Item Response Models to Account for Individual Differences in Response Style," Journal of Educational and Behavioral Statistics, , vol. 35(1), pages 92-114, February.
  16. Michael Clinton & Nour Alayan & Leila El-Alti, 2014. "Rasch Analysis of Lebanese Nurses’ Responses to the EIS Questionnaire," SAGE Open, , vol. 4(3), pages 21582440145, August.
  17. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
  18. Lisa Richter-Beuschel & Susanne Bögeholz, 2020. "Knowledge of Student Teachers on Sustainable Land Use Issues–Knowledge Types Relevant for Teacher Education," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
  19. Thilo J. Ketschau & Janne Kleinhans, 2019. "Concept and Implementation of a Two-Stage Coding Scheme for the Development of Computer-Based Testing (CBT)-Items in Traditional Test Software," J, MDPI, vol. 2(1), pages 1-9, January.
  20. Gomaa Said Mohamed Abdelhamid & Marwa Gomaa Abdelghani Bassiouni & Juana Gómez-Benito, 2021. "Assessing Cognitive Abilities Using the WAIS-IV: An Item Response Theory Approach," IJERPH, MDPI, vol. 18(13), pages 1-15, June.
  21. David Magis & Norman Verhelst, 2017. "On the Finiteness of the Weighted Likelihood Estimator of Ability," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 637-647, September.
  22. Kuan-Yu Jin & Yi-Jhen Wu & Hui-Fang Chen, 2022. "A New Multiprocess IRT Model With Ideal Points for Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 47(3), pages 297-321, June.
  23. Fumiko Samejima, 1997. "Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling," Psychometrika, Springer;The Psychometric Society, vol. 62(4), pages 471-493, December.
  24. L. Ark & Wicher Bergsma, 2010. "A Note on Stochastic Ordering of the Latent Trait Using the Sum of Polytomous Item Scores," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 272-279, June.
  25. Bas Hemker & L. Andries van der Ark & Klaas Sijtsma, 2001. "On measurement properties of continuation ratio models," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 487-506, December.
  26. Jiwei Zhang & Zhaoyuan Zhang & Jian Tao, 2021. "A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data," Computational Statistics, Springer, vol. 36(4), pages 2643-2669, December.
  27. Robert J. Zwitser & S. Sjoerd F. Glaser & Gunter Maris, 2017. "Monitoring Countries in a Changing World: A New Look at DIF in International Surveys," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 210-232, March.
  28. Georg Gittler & Gerhard Fischer, 2011. "IRT-Based Measurement of Short-Term Changes of Ability, With an Application to Assessing the “Mozart Effectâ€," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 33-75, February.
  29. Singh, Jagdip, 2004. "Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example," Journal of Business Research, Elsevier, vol. 57(2), pages 184-208, February.
  30. Fumiko Samejima, 1995. "Acceleration model in the heterogeneous case of the general graded response model," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 549-572, December.
  31. Hua-Hua Chang, 1996. "The asymptotic posterior normality of the latent trait for polytomous IRT models," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 445-463, September.
  32. Glewwe, Paul & Huang, Qiuqiong & Park, Albert, 2017. "Cognitive skills, noncognitive skills, and school-to-work transitions in rural China," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 141-164.
  33. Wenjia Wang & Mickaël Guedj & Viviane Bertrand & Julie Foucquier & Elisabeth Jouve & Daniel Commenges & Cécile Proust-Lima & Niall P Murphy & Olivier Blin & Laurent Magy & Daniel Cohen & Shahram Attar, 2017. "A Rasch Analysis of the Charcot-Marie-Tooth Neuropathy Score (CMTNS) in a Cohort of Charcot-Marie-Tooth Type 1A Patients," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
  34. Matic Radenko M. & Gonzalez-Serrano María Huertas & Damnjanović Jelena & Maksimovic Branka & Papić-Blagojević Nataša & Milošević Isidora & Vuković Jovan, 2022. "Professional competencies development of sports science students: the need for more entrepreneurship education," Management & Marketing, Sciendo, vol. 17(s1), pages 426-448, October.
  35. Xiao Li & Hanchen Xu & Jinming Zhang & Hua-hua Chang, 2023. "Deep Reinforcement Learning for Adaptive Learning Systems," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 220-243, April.
  36. Weicong Lyu & Daniel M. Bolt & Samuel Westby, 2023. "Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 745-775, September.
  37. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
  38. Иванова А. Е. & Карданова Е. Ю., 2020. "Изучение Возможности Проведения Межстранового Сравнительного Исследования Навыка Чтения У Учащихся На Входе В Школу," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 8-36.
  39. Fabio Aiello & Vincenza Capursi, 2008. "Using the Rasch model to assess a university service on the basis of student opinions," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 459-470, September.
  40. Anne Mari Steigen & Hanne Søberg Finbråten & Annette Løvheim Kleppang, 2022. "Using Rasch Analysis to Assess the Psychometric Properties of a Five-Item Version of the General Self-Efficacy Scale in Adolescents," IJERPH, MDPI, vol. 19(5), pages 1-9, March.
  41. Bouscasse, Hélène & Joly, Iragaël & Peyhardi, Jean, 2019. "A new family of qualitative choice models: An application of reference models to travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 74-91.
  42. Geofferey Masters, 1985. "A comparison of latent trait and latent class analyses of Likert-type data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 69-82, March.
  43. Gerhard Tutz, 2022. "Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles," Journal of Classification, Springer;The Classification Society, vol. 39(2), pages 241-263, July.
  44. David Magis & Gilles Raîche & Sébastien Béland, 2012. "A Didactic Presentation of Snijders’s lz* Index of Person Fit With Emphasis on Response Model Selection and Ability Estimation," Journal of Educational and Behavioral Statistics, , vol. 37(1), pages 57-81, February.
  45. Hanne Berthelsen & Hugo Westerlund & Jan Hyld Pejtersen & Emina Hadzibajramovic, 2019. "Construct validity of a global scale for Workplace Social Capital based on COPSOQ III," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-16, August.
  46. Galeotti, Marzio & Rubashkina, Yana & Salini, Silvia & Verdolini, Elena, 2018. "Environmental policy performance and its determinants: Application of a three-level random intercept model," Energy Policy, Elsevier, vol. 114(C), pages 134-144.
  47. Rudy Ligtvoet, 2012. "An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 479-494, July.
  48. Gerhard Tutz, 2022. "Item Response Thresholds Models: A General Class of Models for Varying Types of Items," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1238-1269, December.
  49. Pasquale Sarnacchiaro & Ida Camminatiello & Luigi D’Ambra & Raffaela Palma, 2019. "How does public service motivation affect teacher self-reported performance in an education system? Evidence from an empirical analysis in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2521-2533, September.
  50. Marius Leckelt & Eunike Wetzel & Tanja M. Gerlach & Robert A. Ackerman & Joshua D. Miller & William J. Chopik & Lars Penke & Katharina Geukes & Albrecht C. P. Küfner & Roos Hutteman & David Richter & , 2016. "Validation of the Narcissistic Admiration and Rivalry Questionnaire Short Scale (NARQ-S) in Convenience and Representative Samples," SOEPpapers on Multidisciplinary Panel Data Research 884, DIW Berlin, The German Socio-Economic Panel (SOEP).
  51. C. Glas & N. Verhelst, 1989. "Extensions of the partial credit model," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 635-659, September.
  52. Maud Dampérat & Ping Lei & Florence Jeannot, 2019. "IRT Approach for rating scales: applications for normal and non-normal distributions," Post-Print hal-04325043, HAL.
  53. Ann Yang, 2013. "Decision Making for Individual Investors: A Measurement of Latent Difficulties," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(3), pages 303-329, December.
  54. Rainer W Alexandrowicz & Rebecca Jahn & Johannes Wancata, 2018. "Assessing the dimensionality of the CES-D using multi-dimensional multi-level Rasch models," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
  55. Wenling Liu & Ziping Xu & Tianan Yang, 2018. "Health Effects of Air Pollution in China," IJERPH, MDPI, vol. 15(7), pages 1-15, July.
  56. Paul Jansen & Edward Roskam, 1986. "Latent trait models and dichotomization of graded responses," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 69-91, March.
  57. Felix Zimmer & Clemens Draxler & Rudolf Debelak, 2023. "Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1249-1298, December.
  58. Rudy Ligtvoet & L. Ark & Wicher Bergsma & Klaas Sijtsma, 2011. "Polytomous Latent Scales for the Investigation of the Ordering of Items," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 200-216, April.
  59. Richard N McNeely & Salissou Moutari & Samuel Arba-Mosquera & Shwetabh Verma & Jonathan E Moore, 2018. "An alternative application of Rasch analysis to assess data from ophthalmic patient-reported outcome instruments," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-32, June.
  60. Anja C. Rohenkohl & Monika Bullinger & Andreas M. Pleil & Levente Kriston & Julia H. Quitmann, 2016. "A Brief Version of the Quality of Life in Short Stature Youth Questionnaire - the QoLISSY-Brief," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 971-984, December.
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  62. Pedro Henrique Ribeiro Santiago & Rachel Roberts & Lisa Gaye Smithers & Lisa Jamieson, 2019. "Stress beyond coping? A Rasch analysis of the Perceived Stress Scale (PSS-14) in an Aboriginal population," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-24, May.
  63. Marko Böhm & Jan Barkmann & Sabina Eggert & Claus H. Carstensen & Susanne Bögeholz, 2020. "Quantitative Modelling and Perspective Taking: Two Competencies of Decision Making for Sustainable Development," Sustainability, MDPI, vol. 12(17), pages 1-32, August.
  64. Mark Wilson, 2013. "Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 211-236, April.
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  66. Gunter Maris & Timo Bechger & Ernesto Martin, 2015. "A Gibbs Sampler for the (Extended) Marginal Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 859-879, December.
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  71. Emina Hadžibajramović & Wilmar Schaufeli & Hans De Witte, 2020. "A Rasch analysis of the Burnout Assessment Tool (BAT)," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-19, November.
  72. Heike Heidemeier & Anja Göritz, 2013. "Individual Differences in How Work and Nonwork Life Domains Contribute to Life Satisfaction: Using Factor Mixture Modeling for Classification," Journal of Happiness Studies, Springer, vol. 14(6), pages 1765-1788, December.
  73. Silvana Bortolotti & Rafael Tezza & Dalton Andrade & Antonio Bornia & Afonso Sousa Júnior, 2013. "Relevance and advantages of using the item response theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2341-2360, June.
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  75. Bacci, Silvia & Fabbricatore, Rosa & Iannario, Maria, 2023. "Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
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