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September 2023, Volume 88, Issue 3
- 739-744 Item-Specific Factors in IRTree Models: When They Matter and When They Don’t
by Thorsten Meiser & Fabiola Reiber - 745-775 Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models
by Weicong Lyu & Daniel M. Bolt & Samuel Westby - 776-802 Factor Tree Copula Models for Item Response Data
by Sayed H. Kadhem & Aristidis K. Nikoloulopoulos - 803-808 Commentary: Explore Conditional Dependencies in Item Response Tree Data
by Minjeong Jeon - 809-829 Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach
by Steffen Nestler & Edgar Erdfelder - 830-864 A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times
by Inhan Kang & Minjeong Jeon & Ivailo Partchev - 865-887 Rotating Factors to Simplify Their Structural Paths
by Guangjian Zhang & Minami Hattori & Lauren A. Trichtinger - 888-916 The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses
by Matthias Kloft & Raphael Hartmann & Andreas Voss & Daniel W. Heck - 917-939 Fitting and Testing Log-Linear Subpopulation Models with Known Support
by David J. Hessen - 940-974 A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data
by Inhan Kang & Dylan Molenaar & Roger Ratcliff - 975-1001 Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data
by Xiuli Du & Xiaohu Jiang & Jinguan Lin - 1002-1025 Measuring Agreement Using Guessing Models and Knowledge Coefficients
by Jonas Moss - 1026-1031 Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”
by Weicong Lyu & Daniel M. Bolt - 1032-1055 Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology
by Sierra A. Bainter & Thomas G. McCauley & Mahmoud M. Fahmy & Zachary T. Goodman & Lauren B. Kupis & J. Sunil Rao - 1056-1086 Incorporating Functional Response Time Effects into a Signal Detection Theory Model
by Sun-Joo Cho & Sarah Brown-Schmidt & Paul De Boeck & Matthew Naveiras & Si On Yoon & Aaron Benjamin - 1087-1091 Book Review
by Ji Seung Yang & Yang Liu & Sungyeun Kim - 1092-1095 Book Review
by Youn Seon Lim
June 2023, Volume 88, Issue 2
- 361-386 Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis
by Ying Liu & Steven Andrew Culpepper & Yuguo Chen - 387-412 A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models
by Jules L. Ellis & Klaas Sijtsma - 413-433 Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment
by Dirk Lubbe - 434-455 Blind Subgrouping of Task-based fMRI
by Zachary F. Fisher & Jonathan Parsons & Kathleen M. Gates & Joseph B. Hopfinger - 456-486 Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models
by Øystein Sørensen & Anders M. Fjell & Kristine B. Walhovd - 487-526 Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation
by Hiroshi Tamano & Daichi Mochihashi - 527-553 Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems
by Xinyi Liu & Gabriel Wallin & Yunxiao Chen & Irini Moustaki - 554-579 The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement
by Rutger Oest - 580-612 A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
by Zhenghao Zeng & Yuqi Gu & Gongjun Xu - 613-635 Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models
by Yinghan Chen & Steven Andrew Culpepper & Yuguo Chen - 636-655 Detecting Changes in Correlation Networks with Application to Functional Connectivity of fMRI Data
by Changryong Baek & Benjamin Leinwand & Kristen A. Lindquist & Seok-Oh Jeong & Joseph Hopfinger & Katheleen M. Gates & Vladas Pipiras - 656-671 Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto
by Chia-Yi Chiu & Hans Friedrich Köhn & Wenchao Ma - 672-696 Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring
by Hyeon-Ah Kang - 697-729 Modeling Eye Movements During Decision Making: A Review
by Michel Wedel & Rik Pieters & Ralf Lans - 730-732 BOOK REVIEw
by Laura Trinchera - 733-737 Book Review
by Ihnwhi Heo & Fan Jia & Sarah Depaoli
March 2023, Volume 88, Issue 1
- 1-30 Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments
by David Kaplan & Jianshen Chen & Sinan Yavuz & Weicong Lyu - 31-50 Ignoring Non-ignorable Missingness
by Sophia Rabe-Hesketh & Anders Skrondal - 51-75 Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by Chenchen Ma & Jimmy Torre & Gongjun Xu - 76-97 Accurate Assessment via Process Data
by Susu Zhang & Zhi Wang & Jitong Qi & Jingchen Liu & Zhiliang Ying - 98-116 A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models
by Maximilian S. Ernst & Aaron Peikert & Andreas M. Brandmaier & Yves Rosseel - 117-131 Generic Identifiability of the DINA Model and Blessing of Latent Dependence
by Yuqi Gu - 132-157 Bi-factor and Second-Order Copula Models for Item Response Data
by Sayed H. Kadhem & Aristidis K. Nikoloulopoulos - 158-174 A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses
by Steven Andrew Culpepper - 175-207 Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by Chenchen Ma & Jing Ouyang & Gongjun Xu - 208-240 An Extended GFfit Statistic Defined on Orthogonal Components of Pearson’s Chi-Square
by Mark Reiser & Silvia Cagnone & Junfei Zhu - 241-252 Partial Identification of Latent Correlations with Ordinal Data
by Jonas Moss & Steffen Grønneberg - 253-273 Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices
by Kaidi Kang & Megan T. Jones & Kristan Armstrong & Suzanne Avery & Maureen McHugo & Stephan Heckers & Simon Vandekar - 274-301 On Reverse Shrinkage Effects and Shrinkage Overshoot
by Pascal Jordan - 302-331 Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference
by Motonori Oka & Kensuke Okada - 332-356 Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data
by Meredith Langi & Minjeong Jeon
December 2022, Volume 87, Issue 4
- 1195-1213 Item Complexity: A Neglected Psychometric Feature of Test Items?
by Daniel M. Bolt & Xiangyi Liao - 1214-1237 Incomplete Tests of Conditional Association for the Assessment of Model Assumptions
by Rudy Ligtvoet - 1238-1269 Item Response Thresholds Models: A General Class of Models for Varying Types of Items
by Gerhard Tutz - 1270-1289 Analysis of the Weighted Kappa and Its Maximum with Markov Moves
by Fabio Rapallo - 1290-1317 Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing
by Fang Liu & Xiaojing Wang & Roeland Hancock & Ming-Hui Chen - 1318-1342 The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment
by Stephen R. Martin & Philippe Rast - 1343-1360 Identifiability of Latent Class Models with Covariates
by Jing Ouyang & Gongjun Xu - 1361-1389 Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models
by Shi-Fang Qiu & Man-Lai Tang & Ji-Ran Tao & Ricky S. Wong - 1390-1421 Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm
by Kazuhiro Yamaguchi & Jonathan Templin - 1422-1438 Procrustes Analysis for High-Dimensional Data
by Angela Andreella & Livio Finos - 1439-1472 On the Information Obtainable from Comparative Judgments
by Paul-Christian Bürkner - 1473-1502 Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
by Siliang Zhang & Yunxiao Chen - 1503-1528 A Unified Neural Network Framework for Extended Redundancy Analysis
by Ranjith Vijayakumar & Ji Yeh Choi & Eun Hwa Jung - 1529-1547 DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method
by Peida Zhan & Xin Qiao - 1548-1570 A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data
by Shelley A. Blozis - 1571-1574 Book Review Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment
by Esther Ulitzsch - 1575-1578 Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data
by Gerko Vink
September 2022, Volume 87, Issue 3
- 799-834 The Role of Conditional Likelihoods in Latent Variable Modeling
by Anders Skrondal & Sophia Rabe-Hesketh - 835-867 Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach
by Jinxin Guo & Xin Xu & Zhiliang Ying & Susu Zhang - 868-901 Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models
by Christian Gische & Manuel C. Voelkle - 902-902 Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models
by Christian Gische & Manuel C. Voelkle - 903-945 Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation
by James Joseph Balamuta & Steven Andrew Culpepper - 946-966 Bayesian Mixture Model of Extended Redundancy Analysis
by Minjung Kyung & Ju-Hyun Park & Ji Yeh Choi - 967-991 Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors
by Kohei Adachi - 992-1009 Noncompensatory MIRT For Passage-Based Tests
by Nana Kim & Daniel M. Bolt & James Wollack - 1010-1041 Learning Large Q-Matrix by Restricted Boltzmann Machines
by Chengcheng Li & Chenchen Ma & Gongjun Xu - 1042-1044 Obituary: Bruce McArthur Bloxom 1938–2020
by W. Alan Nicewander & Joseph Lee Rodgers - 1045-1063 Rotation in Correspondence Analysis from the Canonical Correlation Perspective
by Naomichi Makino - 1064-1080 A Note on the Structural Change Test in Highly Parameterized Psychometric Models
by K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman - 1081-1102 Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
by Heinz Holling & Katrin Jansen & Walailuck Böhning & Dankmar Böhning & Susan Martin & Patarawan Sangnawakij - 1103-1129 A Censored Mixture Model for Modeling Risk Taking
by Nienke F. S. Dijkstra & Henning Tiemeier & Bernd Figner & Patrick J. F. Groenen - 1130-1145 Frequentist Model Averaging in Structure Equation Model With Ordinal Data
by Shaobo Jin - 1146-1172 Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model
by Mia J. K. Kornely & Maria Kateri - 1173-1193 Computation and application of generalized linear mixed model derivatives using lme4
by Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle
June 2022, Volume 87, Issue 2
- 1-29 Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by Zachary F. Fisher & Younghoon Kim & Barbara L. Fredrickson & Vladas Pipiras - 373-375 Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data
by Peter F. Halpin & Kathleen Gates & Siwei Liu - 376-402 Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates
by Yanling Li & Zita Oravecz & Shuai Zhou & Yosef Bodovski & Ian J. Barnett & Guangqing Chi & Yuan Zhou & Naomi P. Friedman & Scott I. Vrieze & Sy-Miin Chow - 432-476 A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models
by Ginette Lafit & Kristof Meers & Eva Ceulemans - 477-505 Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data
by Michael D. Hunter & Haya Fatimah & Marina A. Bornovalova - 506-532 A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation
by Steffen Nestler & Sarah Humberg - 533-558 Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math
by Augustin Kelava & Pascal Kilian & Judith Glaesser & Samuel Merk & Holger Brandt - 559-592 Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application
by Sy-Miin Chow & Jungmin Lee & Abe D. Hofman & Han L. J. Maas & Dennis K. Pearl & Peter C. M. Molenaar - 593-619 A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
by Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias Davier - 620-665 Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data
by Joachim Büschken & Ulf Böckenholt & Thomas Otter & Daniel Stengel - 666-692 Semiparametric Factor Analysis for Item-Level Response Time Data
by Yang Liu & Weimeng Wang - 693-724 An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model
by Jimmy de la Torre & Xue-Lan Qiu & Kevin Carl Santos - 725-748 Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model
by Inhan Kang & Paul Boeck & Roger Ratcliff - 749-772 Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation
by Björn E. Hommel & Franz-Josef M. Wollang & Veronika Kotova & Hannes Zacher & Stefan C. Schmukle - 773-794 Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model
by Susanne Frick - 795-796 Book Review of the Handbook of Graphical Models
by Lourens Waldorp - 797-797 Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data
by Michael D. Hunter & Haya Fatimah & Marina A. Bornovalova - 798-798 Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
by Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias Davier
March 2022, Volume 87, Issue 1
- 1-11 Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems
by Maarten Marsman & Mijke Rhemtulla - 12-46 Meta-analytic Gaussian Network Aggregation
by Sacha Epskamp & Adela-Maria Isvoranu & Mike W.-L. Cheung - 47-82 Objective Bayesian Edge Screening and Structure Selection for Ising Networks
by M. Marsman & K. Huth & L. J. Waldorp & I. Ntzoufras - 83-106 Estimating Finite Mixtures of Ordinal Graphical Models
by Kevin H. Lee & Qian Chen & Wayne S. DeSarbo & Lingzhou Xue - 107-132 ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time
by Nadja Bodner & Laura Bringmann & Francis Tuerlinckx & Peter Jonge & Eva Ceulemans - 133-155 Disentangling relationships in symptom networks using matrix permutation methods
by Michael J. Brusco & Douglas Steinley & Ashley L. Watts - 156-187 Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections
by Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker - 188-213 On the Control of Psychological Networks
by Teague R. Henry & Donald J. Robinaugh & Eiko I. Fried - 214-252 Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality
by Oisín Ryan & Ellen L. Hamaker - 253-265 Possible Futures for Network Psychometrics
by Denny Borsboom - 266-288 Multidimensional Item Response Theory in the Style of Collaborative Filtering
by Yoav Bergner & Peter Halpin & Jill-Jênn Vie - 289-309 Second-Order Disjoint Factor Analysis
by Carlo Cavicchia & Maurizio Vichi - 310-343 Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding
by Youmi Suk & Hyunseung Kang - 344-368 On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence
by Domingo Morales & Joscha Krause & Jan Pablo Burgard - 369-371 Book Review: W. H. FINCH, J. E. Bolin and K. Kelley: Multilevel Modeling Using R
by Nivedita Bhaktha - 372-372 Erratum to: Meta-analytic Gaussian Network Aggregation
by Sacha Epskamp & Adela-Maria Isvoranu & Mike W.-L. Cheung
December 2021, Volume 86, Issue 4
- 843-860 Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors
by Klaas Sijtsma & Julius M. Pfadt - 861-868 Alpha, FACTT, and Beyond
by Peter M. Bentler - 869-876 A Test Can Have Multiple Reliabilities
by Jules L. Ellis - 877-886 Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt
by Eunseong Cho - 887-892 Rejoinder: The Future of Reliability
by Klaas Sijtsma & Julius M. Pfadt - 893-919 A Guide for Sparse PCA: Model Comparison and Applications
by Rosember Guerra-Urzola & Katrijn Van Deun & Juan C. Vera & Klaas Sijtsma - 920-937 A Group Comparison Test under Uncertain Group Membership
by Tobias A. Bauer & Alexandro Folster & Tina Braun & Timo von Oertzen - 938-972 An Attention-Based Diffusion Model for Psychometric Analyses
by Udo Boehm & Maarten Marsman & Han L. J. Maas & Gunter Maris - 973-993 Lord–Wingersky Algorithm Version 2.5 with Applications
by Sijia Huang & Li Cai - 994-1015 A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test
by José H. Lozano & Javier Revuelta - 1016-1038 Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer
by Daniel M. Smith & Theodore A. Walls - 1039-1057 Advances in CD-CAT: The General Nonparametric Item Selection Method
by Chia-Yi Chiu & Yuan-Pei Chang - 1058-1083 ProcData: An R Package for Process Data Analysis
by Xueying Tang & Susu Zhang & Zhi Wang & Jingchen Liu & Zhiliang Ying
September 2021, Volume 86, Issue 3
- 669-670 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”
by Edward Haksing Ip - 671-673 Guest Editors’ Introduction to the Invited Special Section
by Bryce B. Reeve & Ron D. Hays - 674-711 Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions
by Jeanne A. Teresi & Chun Wang & Marjorie Kleinman & Richard N. Jones & David J. Weiss - 712-716 Not all DIF is shaped similarly
by Paul Boeck & Sun-Joo Cho - 717-746 Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS
by Benjamin D. Schalet & Sangdon Lim & David Cella & Seung W. Choi - 747-753 Solving the Tower of Babel Problem for Patient-Reported Outcome Measures
by Jakob Bue Bjorner - 754-777 Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory
by Li Cai & Carrie R. Houts - 778-780 Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’
by Karl Bang Christensen - 781-792 Using 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
by Ron D. Hays & Karen L. Spritzer & Steven P. Reise - 793-799 Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings
by Alberto Maydeu-Olivares - 800-824 Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression
by Steven P. Reise & Han Du & Emily F. Wong & Anne S. Hubbard & Mark G. Haviland - 825-832 Commentary: Matching IRT Models to PRO Constructs— Modeling Alternatives, and Some Thoughts on What Makes a Model Different
by Matthias von Davier - 833-835 A Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link
by Lisa D. Wijsen - 836-840 Obituary GIDEON J. MELLENBERGH (1938–2021)
by Denny Borsboom & Henk Kelderman & Wim J. Linden - 841-841 Erratum to: Power Analysis and Sample Size Planning in Ancova Designs
by Gwowen Shieh - 842-842 Erratum to: Maximum Likelihood Estimation of a Social Relations Structural Equation Model
by Steffen Nestler & Oliver Lüdtke & Alexander Robitzsch
June 2021, Volume 86, Issue 2
- 345-377 Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test
by Ke-Hai Yuan & Hongyun Liu & Yuting Han - 378-403 Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map
by Minjeong Jeon & Ick Hoon Jin & Michael Schweinberger & Samuel Baugh - 404-441 Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression
by Ai Ye & Kathleen M. Gates & Teague Rhine Henry & Lan Luo - 442-463 A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis
by Yinqiu He & Zi Wang & Gongjun Xu - 464-488 Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types
by Maxwell Hong & Lizhen Lin & Ying Cheng - 489-513 On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling
by J. Fernando Vera & Rodrigo Macías - 514-517 K. 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
by Hatice Cigdem Bulut & Okan Bulut - 518-543 Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory
by Qian Wu & Monique Vanerum & Anouk Agten & Andrés Christiansen & Frank Vandenabeele & Jean-Michel Rigo & Rianne Janssen - 544-563 Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters
by Haruhiko Ogasawara - 564-594 A unified model-implied instrumental variable approach for structural equation modeling with mixed variables
by Shaobo Jin & Fan Yang-Wallentin & Kenneth A. Bollen - 595-618 Robust Inference for Mediated Effects in Partially Linear Models
by Oliver Hines & Stijn Vansteelandt & Karla Diaz-Ordaz - 619-641 Bayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable
by Aldo Gardini & Carlo Trivisano & Enrico Fabrizi - 642-667 Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses
by Nicholas J. Rockwood - 668-668 Erratum to: Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators
by Elissa Burghgraeve & Jan Neve & Yves Rosseel
March 2021, Volume 86, Issue 1
- 1-29 A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
by Christopher J. Urban & Daniel J. Bauer - 30-64 Inferring the Number of Attributes for the Exploratory DINA Model
by Yinghan Chen & Ying Liu & Steven Andrew Culpepper & Yuguo Chen - 65-95 Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection
by Elena Geminiani & Giampiero Marra & Irini Moustaki - 96-130 Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators
by Elissa Burghgraeve & Jan De Neve & Yves Rosseel - 131-166 Confidence Distribution for the Ability Parameter of the Rasch Model
by Piero Veronese & Eugenio Melilli - 167-189 Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM
by Chun Wang - 190-214 Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes
by Esther Ulitzsch & Qiwei He & Vincent Ulitzsch & Hendrik Molter & André Nichterlein & Rolf Niedermeier & Steffi Pohl - 215-238 On the Quantification of Model Uncertainty: A Bayesian Perspective
by David Kaplan - 239-271 Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation
by Minjeong Jeon & Paul Boeck & Jevan Luo & Xiangrui Li & Zhong-Lin Lu - 272-298 Social Network Mediation Analysis: A Latent Space Approach
by Haiyan Liu & Ick Hoon Jin & Zhiyong Zhang & Ying Yuan - 299-326 Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration
by Ping Chen & Chun Wang - 327-343 Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents
by Lisa D. Wijsen & Denny Borsboom - 344-344 Erratum to: A Further Comparison Of Oblique Factor Transformation Methods
by A. Ralph Hakstian & Robert A. Abell
December 2020, Volume 85, Issue 4
- 845-869 Joint Bayesian Estimation of Voxel Activation and Inter-regional Connectivity in fMRI Experiments
by Daniel Spencer & Rajarshi Guhaniyogi & Raquel Prado - 870-889 Maximum likelihood estimation of a social relations structural equation model
by Steffen Nestler & Oliver Lüdtke & Alexander Robitzsch - 890-904 Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes
by Stuart R. Lipsitz & Garrett M. Fitzmaurice & Roger D. Weiss - 905-925 Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions
by Alessandro Barbiero & Asmerilda Hitaj - 926-945 Network Trees: A Method for Recursively Partitioning Covariance Structures
by Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis - 946-946 Erratum to: A Robust Effect Size Index
by Simon Vandekar & Ran Tao & Jeffrey Blume - 947-972 Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling
by Heungsun Hwang & Gyeongcheol Cho - 973-995 Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model
by Kazuhiro Yamaguchi & Kensuke Okada - 996-1012 A Note on Likelihood Ratio Tests for Models with Latent Variables
by Yunxiao Chen & Irini Moustaki & Haoran Zhang - 1016-1027 A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T
by Katinka Hardt & Steven M. Boker & Cindy S. Bergeman - 1028-1051 Partial Identification of Latent Correlations with Binary Data
by Steffen Grønneberg & Jonas Moss & Njål Foldnes - 1052-1075 A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by Yunxiao Chen
September 2020, Volume 85, Issue 3
- 531-554 Traditional and Rank-Based Tests for Ordered Alternatives in a Cluster Correlated Model
by Yuanyuan Shao & Joseph W. McKean & Bradley E. Huitema - 555-574 Factor Uniqueness of the Structural Parafac Model
by Paolo Giordani & Roberto Rocci & Giuseppe Bove - 575-599 A Restricted Four-Parameter IRT Model: The Dyad Four-Parameter Normal Ogive (Dyad-4PNO) Model
by Justin L. Kern & Steven Andrew Culpepper - 600-629 Using Response Times and Response Accuracy to Measure Fluency Within Cognitive Diagnosis Models
by Shiyu Wang & Yinghan Chen - 630-659 Exponential-Family Random Graph Models for Multi-Layer Networks
by Pavel N. Krivitsky & Laura M. Koehly & Christopher Steven Marcum - 660-683 An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
by Zachary F. Fisher & Kenneth A. Bollen - 684-715 Extending the Basic Local Independence Model to Polytomous Data
by Luca Stefanutti & Debora Chiusole & Pasquale Anselmi & Andrea Spoto - 716-737 Flexible Utility Function Approximation via Cubic Bezier Splines
by Sangil Lee & Chris M. Glaze & Eric T. Bradlow & Joseph W. Kable - 738-774 A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso
by Jinsong Chen - 775-811 Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
by Guanhua Fang & Zhiliang Ying - 812-814 Review of Nonlinear Time Series Analysis (Tsay Chen, 2018) Tsay, R.S., & Chen, R. (2018). Nonlinear Time Series Analysis. Wiley. 512 pages. EUR€119,70. ISBN: 978-1-119-26407-1
by Ascher K. Munion & Jonathan E. Butner - 815-836 A Dyadic IRT Model
by Brian Gin & Nicholas Sim & Anders Skrondal & Sophia Rabe-Hesketh - 837-840 A Review of “A Course in Item Response Theory and Modeling with Stata” by Raykov and Marcoulides
by Dandan Chen & Jinming Zhang - 841-844 Structural Equation Models: From Paths to Networks (Westland 2019)
by Marko Sarstedt & Christian M. Ringle
June 2020, Volume 85, Issue 2
- 251-274 A Latent Space Network Model for Social Influence
by Tracy Sweet & Samrachana Adhikari