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Content
March 2022, Volume 87, Issue 1
- 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 - 275-300 Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates
by Nicholas J. Rockwood - 301-321 A Shadow-Test Approach to Adaptive Item Calibration
by Wim J. van der Linden & Bingnan Jiang - 322-357 A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models
by Chen-Wei Liu & Björn Andersson & Anders Skrondal - 358-372 A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
by Haoran Zhang & Yunxiao Chen & Xiaoou Li - 373-377 Review of Gana & Broc’s Structural Equation Modeling with lavaan
by Terrence D. Jorgensen & Suzanne Jak - 378-397 Latent Feature Extraction for Process Data via Multidimensional Scaling
by Xueying Tang & Zhi Wang & Qiwei He & Jingchen Liu & Zhiliang Ying - 398-436 Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach
by Minjeong Jeon & Paul Boeck & Xiangrui Li & Zhong-Lin Lu - 437-438 Patrick Mair: Modern Psychometrics with R
by Joost Kruis & Denny Borsboom - 439-468 A Riemannian Optimization Algorithm for Joint Maximum Likelihood Estimation of High-Dimensional Exploratory Item Factor Analysis
by Yang Liu - 469-501 Students’ Complex Problem Solving Profiles
by Michela Gnaldi & Silvia Bacci & Thiemo Kunze & Samuel Greiff - 502-525 Power Divergence Family of Statistics for Person Parameters in IRT Models
by Xiang Liu & James Yang & Hui Soo Chae & Gary Natriello - 526-530 Book ReviewStructural Equation Modeling: Applications using Mplus (Wang and Wang 2020)
by Yi Feng & Jeffrey R. Harring
March 2020, Volume 85, Issue 1
- 1-4 Editorial, Spring 2020
by Matthias von Davier & Edward Ip - 8-34 Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models
by Teague R. Henry & Kathleen M. Gates & Mitchell J. Prinstein & Douglas Steinley - 35-55 Optimal Online Calibration Designs for Item Replenishment in Adaptive Testing
by Yinhong He & Ping Chen - 56-74 A Social Desirability Item Response Theory Model: Retrieve–Deceive–Transfer
by Cheng-Han Leng & Hung-Yu Huang & Grace Yao - 75-100 Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment
by Junhao Pan & Edward Haksing Ip & Laurette Dubé - 101-120 Power Analysis and Sample Size Planning in ANCOVA Designs
by Gwowen Shieh - 121-153 A Sparse Latent Class Model for Cognitive Diagnosis
by Yinyin Chen & Steven Culpepper & Feng Liang - 154-184 Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model
by Sun-Joo Cho & Sarah Brown-Schmidt & Paul De Boeck & Jianhong Shen - 185-205 Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data
by Joost R. Ginkel - 206-231 Psychometric network models from time-series and panel data
by Sacha Epskamp - 232-246 A Robust Effect Size Index
by Simon Vandekar & Ran Tao & Jeffrey Blume - 247-250 Review of Advances in Latent Class Analysis
by Yoon Soo Park & Qiao Lin
December 2019, Volume 84, Issue 4
- 921-940 An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation
by Steven Andrew Culpepper - 941-985 ROOTCLUS: Searching for “ROOT CLUSters” in Three-Way Proximity Data
by Laura Bocci & Donatella Vicari - 986-999 Contextual Responses to Affirmative and/or Reversed-Worded Items
by Ulf Böckenholt - 1000-1017 On Identification and Non-normal Simulation in Ordinal Covariance and Item Response Models
by Njål Foldnes & Steffen Grønneberg - 1018-1046 Modeling Differences Between Response Times of Correct and Incorrect Responses
by Maria Bolsinova & Jesper Tijmstra - 1047-1047 Erratum to: A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling
by Quentin F. Gronau & Eric-Jan Wagenmakers & Daniel W. Heck & Dora Matzke - 1048-1067 Clustered Common Factor Exploration in Factor Analysis
by Kohei Uno & Kohei Adachi & Nickolay T. Trendafilov - 1068-1096 Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models
by Viviana Amati & Felix Schönenberger & Tom A. B. Snijders - 1097-1100 A Review of “Sociocognitive Foundations of Educational Measurement” by Robert Mislevy
by Anthony Clairmont & Andrew Maul - 1101-1128 Optimal Item Calibration for Computerized Achievement Tests
by Mahmood Ul Hassan & Frank Miller - 1129-1151 The Asymptotic Distribution of Average Test Overlap Rate in Computerized Adaptive Testing
by Edison M. Choe & Hua-Hua Chang
September 2019, Volume 84, Issue 3
- 649-672 Modeling Dependence Structures for Response Times in a Bayesian Framework
by Konrad Klotzke & Jean-Paul Fox - 673-700 Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models
by Chun Wang & Gongjun Xu & Xue Zhang - 701-718 Second-Order Probability Matching Priors for the Person Parameter in Unidimensional IRT Models
by Yang Liu & Jan Hannig & Abhishek Pal Majumder - 719-748 Maximum Likelihood Analysis of Linear Mediation Models with Treatment–Mediator Interaction
by Kai Wang - 749-771 Variable-Length Stopping Rules for Multidimensional Computerized Adaptive Testing
by Chun Wang & David J. Weiss & Zhuoran Shang - 772-780 Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note
by Edward E. Rigdon & Jan-Michael Becker & Marko Sarstedt - 781-801 Creating Misspecified Models in Moment Structure Analysis
by Keke Lai - 802-829 Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods
by Edgar C. Merkle & Daniel Furr & Sophia Rabe-Hesketh - 830-845 Consistency Theory for the General Nonparametric Classification Method
by Chia-Yi Chiu & Hans-Friedrich Köhn - 846-869 Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models
by Jesper Tijmstra & Maria Bolsinova - 870-891 Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time
by M. Marsman & H. Sigurdardóttir & M. Bolsinova & G. Maris - 892-920 Using Response Times to Model Not-Reached Items due to Time Limits
by Steffi Pohl & Esther Ulitzsch & Matthias Davier
June 2019, Volume 84, Issue 2
- 333-357 Estimating the Cognitive Diagnosis $$\varvec{Q}$$ Q Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset
by Steven Andrew Culpepper - 358-374 Gibbs Samplers for Logistic Item Response Models via the Pólya–Gamma Distribution: A Computationally Efficient Data-Augmentation Strategy
by Zhehan Jiang & Jonathan Templin - 375-394 Statistical Foundations for Computerized Adaptive Testing with Response Revision
by Shiyu Wang & Georgios Fellouris & Hua-Hua Chang - 395-421 On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory
by Stefano Noventa & Andrea Spoto & Jürgen Heller & Augustin Kelava - 422-446 Average Effects Based on Regressions with a Logarithmic Link Function: A New Approach with Stochastic Covariates
by Christoph Kiefer & Axel Mayer - 447-467 Augmented Weighted Estimators Dealing with Practical Positivity Violation to Causal inferences in a Random Coefficient Model
by Mary Ying-Fang Wang & Paul Tuss & Lihong Qi - 468-483 The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
by Yuqi Gu & Gongjun Xu - 484-510 Higher-Order Asymptotics and Its Application to Testing the Equality of the Examinee Ability Over Two Sets of Items
by Sandip Sinharay & Jens Ledet Jensen - 511-528 The Use of an Identifiability-Based Strategy for the Interpretation of Parameters in the 1PL-G and Rasch Models
by Paula Fariña & Jorge González & Ernesto San Martín - 529-553 Restricted Recalibration of Item Response Theory Models
by Yang Liu & Ji Seung Yang & Alberto Maydeu-Olivares - 554-561 A Problem with Discretizing Vale–Maurelli in Simulation Studies
by Steffen Grønneberg & Njål Foldnes - 562-588 An Academic Genealogy of Psychometric Society Presidents
by Lisa D. Wijsen & Denny Borsboom & Tiago Cabaço & Willem J. Heiser - 589-610 Compensation and Amplification of Attenuation Bias in Causal Effect Estimates
by Marie-Ann Sengewald & Steffi Pohl - 611-645 Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data
by Zhao-Hua Lu & Sy-Miin Chow & Nilam Ram & Pamela M. Cole - 646-648 Review of Measurement Theory and Applications for the Social Sciences
by Keith A. Markus
March 2019, Volume 84, Issue 1
- 1-18 Latent Class Dynamic Mediation Model with Application to Smoking Cessation Data
by Jing Huang & Ying Yuan & David Wetter - 19-40 On the Identifiability of Diagnostic Classification Models
by Guanhua Fang & Jingchen Liu & Zhiliang Ying - 41-64 Estimating Multilevel Models on Data Streams
by L. Ippel & M. C. Kaptein & J. K. Vermunt - 65-83 Tests of Matrix Structure for Construct Validation
by Brian D. Segal & Thomas Braun & Richard Gonzalez & Michael R. Elliott - 84-104 Frequentist Model Averaging in Structural Equation Modelling
by Shaobo Jin & Sebastian Ankargren - 105-123 Metric Transformations and the Filtered Monotonic Polynomial Item Response Model
by Leah M. Feuerstahler - 124-146 Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis
by Yunxiao Chen & Xiaoou Li & Siliang Zhang - 147-163 Effects of Discontinue Rules on Psychometric Properties of Test Scores
by Matthias von Davier & Youngmi Cho & Tianshu Pan - 164-185 Semi-sparse PCA
by Lars Eldén & Nickolay Trendafilov - 186-211 Penalized Best Linear Prediction of True Test Scores
by Lili Yao & Shelby J. Haberman & Mo Zhang - 212-235 Simplified Estimation and Testing in Unbalanced Repeated Measures Designs
by Martin Spiess & Pascal Jordan & Mike Wendt - 236-260 A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
by Ick Hoon Jin & Minjeong Jeon - 261-284 A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling
by Quentin F. Gronau & Eric-Jan Wagenmakers & Daniel W. Heck & Dora Matzke - 285-309 High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance
by Steven Andrew Culpepper & Herman Aguinis & Justin L. Kern & Roger Millsap - 310-322 Optimal Scores: An Alternative to Parametric Item Response Theory and Sum Scores
by Marie Wiberg & James O. Ramsay & Juan Li - 323-326 Book Review of Psychometric Methods: Theory into Practice by Price
by Manqian Liao & Hong Jiao - 327-332 Review of Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Grimm, Ram & Estabrook, 2017)
by Maxwell R. Hong & Ross Jacobucci
December 2018, Volume 83, Issue 4
- 785-808 CFA Models with a General Factor and Multiple Sets of Secondary Factors
by Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh - 809-830 Outliers and Influential Observations in Exponential Random Graph Models
by Johan Koskinen & Peng Wang & Garry Robins & Philippa Pattison - 831-846 A New Explanation and Proof of the Paradoxical Scoring Results in Multidimensional Item Response Models
by Pascal Jordan & Martin Spiess - 847-857 Automated Item Generation with Recurrent Neural Networks
by Matthias von Davier - 858-870 Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices
by Niels G. Waller - 871-892 Two-Step Estimation of Models Between Latent Classes and External Variables
by Zsuzsa Bakk & Jouni Kuha - 893-918 Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables
by Daniel W. Heck & Edgar Erdfelder & Pascal J. Kieslich - 919-940 Multiple Imputation for Bounded Variables
by Marco Geraci & Alexander McLain - 941-962 Psychometric Models of Small Group Collaborations
by Peter F. Halpin & Yoav Bergner - 963-990 Assessing Growth in a Diagnostic Classification Model Framework
by Matthew J. Madison & Laine P. Bradshaw - 991-1006 Nonlinear Predictive Models for Multiple Mediation Analysis: With an Application to Explore Ethnic Disparities in Anxiety and Depression Among Cancer Survivors
by Qingzhao Yu & Kaelen L. Medeiros & Xiaocheng Wu & Roxanne E. Jensen - 1007-1010 Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum
by Joel B. Greenhouse & Edward H. Kennedy - 1011-1013 Book Review of Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models by Faraway
by Andreas Rosenblad
September 2018, Volume 83, Issue 3
- 515-537 Hypothesis Testing of the Q-matrix
by Yuqi Gu & Jingchen Liu & Gongjun Xu & Zhiliang Ying - 538-562 Robust Measurement via A Fused Latent and Graphical Item Response Theory Model
by Yunxiao Chen & Xiaoou Li & Jingchen Liu & Zhiliang Ying - 563-585 On Fair Person Classification Based on Efficient Factor Score Estimates in the Multidimensional Factor Analysis Model
by Pascal Jordan & Martin Spiess - 586-617 Automatic Bayes Factors for Testing Equality- and Inequality-Constrained Hypotheses on Variances
by Florian Böing-Messing & Joris Mulder - 618-627 An Alternative Interpretation of the Linearly Weighted Kappa Coefficients for Ordinal Data
by Tarald O. Kvålseth - 628-649 Approximated Penalized Maximum Likelihood for Exploratory Factor Analysis: An Orthogonal Case
by Shaobo Jin & Irini Moustaki & Fan Yang-Wallentin - 650-673 Sequential Detection of Compromised Items Using Response Times in Computerized Adaptive Testing
by Edison M. Choe & Jinming Zhang & Hua-Hua Chang - 674-695 Review of Issues About Classical Change Scores: A Multilevel Modeling Perspective on Some Enduring Beliefs
by Zhengguo Gu & Wilco H. M. Emons & Klaas Sijtsma - 696-732 Model-Based Measures for Detecting and Quantifying Response Bias
by R. Philip Chalmers - 733-750 Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models
by Eric F. Lock & Nidhi Kohli & Maitreyee Bose - 751-771 Autoregressive Generalized Linear Mixed Effect Models with Crossed Random Effects: An Application to Intensive Binary Time Series Eye-Tracking Data
by Sun-Joo Cho & Sarah Brown-Schmidt & Woo-yeol Lee - 772-774 Book Review
by Jay Verkuilen - 775-777 Book Review of Innovative Assessment of Collaboration by Davier, Shu & Kyllonen
by Tyler H. Matta - 778-781 Obituary for Ivo Molenaar
by Klaas Sijtsma - 782-784 In memoriam Jürgen Rost (1952–2017)
by Matthias Davier & Claus Carstensen & Rolf Langeheine & Michael Eid
June 2018, Volume 83, Issue 2
- 279-297 Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times
by Dylan Molenaar & Paul Boeck - 298-320 Identification and Sensitivity Analysis for Average Causal Mediation Effects with Time-Varying Treatments and Mediators: Investigating the Underlying Mechanisms of Kindergarten Retention Policy
by Soojin Park & Peter M. Steiner & David Kaplan