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Psychometrika1936 - 2024
 Current editor(s): Irini Moustaki From:Springer
 The Psychometric Society
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 Volume 86, issue 4, 2021
 
  Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors   pp. 843-860 Klaas Sijtsma and Julius M. PfadtAlpha, FACTT, and Beyond   pp. 861-868 Peter M. BentlerA Test Can Have Multiple Reliabilities   pp. 869-876 Jules L. EllisNeither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt   pp. 877-886 Eunseong ChoRejoinder: The Future of Reliability   pp. 887-892 Klaas Sijtsma and Julius M. PfadtA Guide for Sparse PCA: Model Comparison and Applications   pp. 893-919 Rosember Guerra-Urzola, Katrijn  Van Deun, Juan C. Vera and Klaas SijtsmaA Group Comparison Test under Uncertain Group Membership   pp. 920-937 Tobias A. Bauer, Alexandro Folster, Tina Braun and Timo  von OertzenAn Attention-Based Diffusion Model for Psychometric Analyses   pp. 938-972 Udo Boehm, Maarten Marsman, Han L. J. Maas and Gunter MarisLord–Wingersky Algorithm Version 2.5 with Applications   pp. 973-993 Sijia Huang and Li CaiA Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test   pp. 994-1015 José H. Lozano and Javier RevueltaPursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer   pp. 1016-1038 Daniel M. Smith and Theodore A. WallsAdvances in CD-CAT: The General Nonparametric Item Selection Method   pp. 1039-1057 Chia-Yi Chiu and Yuan-Pei ChangProcData: An R Package for Process Data Analysis   pp. 1058-1083 Xueying Tang, Susu Zhang, Zhi Wang, Jingchen Liu and Zhiliang Ying Volume 86, issue 3, 2021
 
  Editorial to the Invited Special Section “Advancing Methods to Assess Patient-Reported Outcomes: Lessons Learned from the Patient-Reported Outcomes Measurement Information System® (PROMIS®) initiative”   pp. 669-670 Edward Haksing IpGuest Editors’ Introduction to the Invited Special Section   pp. 671-673 Bryce B. Reeve and Ron D. HaysDifferential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions   pp. 674-711 Jeanne A. Teresi, Chun Wang, Marjorie Kleinman, Richard N. Jones and David J. WeissNot all DIF is shaped similarly   pp. 712-716 Paul Boeck and Sun-Joo ChoLinking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS   pp. 717-746 Benjamin D. Schalet, Sangdon Lim, David Cella and Seung W. ChoiSolving the Tower of Babel Problem for Patient-Reported Outcome Measures   pp. 747-753 Jakob Bue BjornerLongitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory   pp. 754-777 Li Cai and Carrie R. HoutsComments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’   pp. 778-780 Karl Bang ChristensenUsing Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function Scale and Emotional Distress Composite   pp. 781-792 Ron D. Hays, Karen L. Spritzer and Steven P. ReiseAssessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings   pp. 793-799 Alberto Maydeu-OlivaresMatching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression   pp. 800-824 Steven P. Reise, Han Du, Emily F. Wong, Anne S. Hubbard and Mark G. HavilandCommentary: Matching IRT Models to PRO Constructs— Modeling Alternatives, and Some Thoughts on What Makes a Model Different   pp. 825-832 Matthias  von DavierA Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link   pp. 833-835 Lisa D. WijsenObituary GIDEON J. MELLENBERGH (1938–2021)   pp. 836-840 Denny Borsboom, Henk Kelderman and Wim J. LindenErratum to: Power Analysis and Sample Size Planning in Ancova Designs   pp. 841-841 Gwowen ShiehErratum to: Maximum Likelihood Estimation of a Social Relations Structural Equation Model   pp. 842-842 Steffen Nestler, Oliver Lüdtke and Alexander Robitzsch Volume 86, issue 2, 2021
 
  Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test   pp. 345-377 Ke-Hai Yuan, Hongyun Liu and Yuting HanMapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map   pp. 378-403 Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger and Samuel BaughPath and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression   pp. 404-441 Ai Ye, Kathleen M. Gates, Teague Rhine Henry and Lan LuoA Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis   pp. 442-463 Yinqiu He, Zi Wang and Gongjun XuAsymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types   pp. 464-488 Maxwell Hong, Lizhen Lin and Ying ChengOn the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling   pp. 489-513 J. Fernando Vera and Rodrigo MacíasK. SIJTSMA AND A. L. VAN DER ARK (2020): A Review of “Measurement Models for Psychological Attributes” CRC Press. 400 pp, $79.95 (paperback), $199.95 (hardback), $71.95 (eBook), ISBN: 9780367424527   pp. 514-517 Hatice Cigdem Bulut and Okan BulutCertainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory   pp. 518-543 Qian Wu, Monique Vanerum, Anouk Agten, Andrés Christiansen, Frank Vandenabeele, Jean-Michel Rigo and Rianne JanssenMaximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters   pp. 544-563 Haruhiko OgasawaraA unified model-implied instrumental variable approach for structural equation modeling with mixed variables   pp. 564-594 Shaobo Jin, Fan Yang-Wallentin and Kenneth A. BollenRobust Inference for Mediated Effects in Partially Linear Models   pp. 595-618 Oliver Hines, Stijn Vansteelandt and Karla Diaz-OrdazBayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable   pp. 619-641 Aldo Gardini, Carlo Trivisano and Enrico FabriziEfficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses   pp. 642-667 Nicholas J. RockwoodErratum to: Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators   pp. 668-668 Elissa Burghgraeve, Jan Neve and Yves Rosseel Volume 86, issue 1, 2021
 
  A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis   pp. 1-29 Christopher J. Urban and Daniel J. BauerInferring the Number of Attributes for the Exploratory DINA Model   pp. 30-64 Yinghan Chen, Ying Liu, Steven Andrew Culpepper and Yuguo ChenSingle- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection   pp. 65-95 Elena Geminiani, Giampiero Marra and Irini MoustakiEstimating Structural Equation Models Using James–Stein Type Shrinkage Estimators   pp. 96-130 Elissa Burghgraeve, Jan  De Neve and Yves RosseelConfidence Distribution for the Ability Parameter of the Rasch Model   pp. 131-166 Piero Veronese and Eugenio MelilliUsing Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM   pp. 167-189 Chun WangCombining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes   pp. 190-214 Esther Ulitzsch, Qiwei He, Vincent Ulitzsch, Hendrik Molter, André Nichterlein, Rolf Niedermeier and Steffi PohlOn the Quantification of Model Uncertainty: A Bayesian Perspective   pp. 215-238 David KaplanModeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation   pp. 239-271 Minjeong Jeon, Paul Boeck, Jevan Luo, Xiangrui Li and Zhong-Lin LuSocial Network Mediation Analysis: A Latent Space Approach   pp. 272-298 Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang and Ying YuanUsing EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration   pp. 299-326 Ping Chen and Chun WangPerspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents   pp. 327-343 Lisa D. Wijsen and Denny BorsboomErratum to: A Further Comparison Of Oblique Factor Transformation Methods   pp. 344-344 A. Ralph Hakstian and Robert A. Abell |  |