Theory and Methods

Articles (143 in this collection)

1. Diagnostic Classification Models for Testlets: Methods and Theory

   Authors (first, second and last of 5)

   • Xin Xu
   • Guanhua Fang
   • Susu Zhang

   • Content type: Theory & Methods
   • Published: 26 March 2024

   

2. A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)

   Authors

   • Kenneth A. Bollen
   • Kathleen M. Gates
   • Lan Luo

   • Content type: Theory & Methods
   • Published: 26 March 2024

   

3. Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses

   Authors

   • Mengqi Lin
   • Gongjun Xu

   • Content type: Theory & Methods
   • Published: 22 March 2024

4. Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models

   Authors

   • Rūta Juozaitienė
   • Ernst C. Wit

   • Content type: Theory & Methods
   • Published: 06 March 2024

   

5. Variational Estimation for Multidimensional Generalized Partial Credit Model

   Authors

   • Chengyu Cui
   • Chun Wang
   • Gongjun Xu

   • Content type: Theory and Methods
   • Published: 01 March 2024

   

6. DIF Analysis with Unknown Groups and Anchor Items

   Authors

   • Gabriel Wallin
   • Yunxiao Chen
   • Irini Moustaki

   • Content type: Theory & Methods
   • Open Access
   • Published: 21 February 2024

   

7. Using External Information for More Precise Inferences in General Regression Models

   Authors

   • Martin Jann
   • Martin Spiess

   • Content type: Theory & Methods
   • Open Access
   • Published: 20 February 2024

8. Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning

   Authors (first, second and last of 4)

   • Minerva Mukhopadhyay
   • Jacie R. McHaney
   • Abhra Sarkar

   • Content type: Theory & Methods
   • Published: 19 February 2024

   

9. Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes

   Authors

   • Gyeongcheol Cho
   • Heungsun Hwang

   • Content type: Theory & Methods
   • Open Access
   • Published: 16 February 2024

   

10. A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses

    Authors

    • Ling Chen
    • Yuqi Gu

    • Content type: Theory & Methods
    • Published: 15 February 2024

    

11. On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory

    Authors (first, second and last of 4)

    • Stefano Noventa
    • Sangbeak Ye
    • Andrea Spoto

    • Content type: Theory & Methods
    • Open Access
    • Published: 13 February 2024

    

12. Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation

    Authors

    • Ying Liu
    • Steven Andrew Culpepper

    • Content type: Theory and Methods
    • Published: 19 December 2023

    

13. Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation

    Authors

    • Naoto Yamashita

    • Content type: Theory and Methods
    • Published: 12 December 2023

    

14. Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)

    Authors

    • Yuqi Gu

    • Content type: Theory and Methods
    • Published: 11 December 2023

    

15. A Note on Improving Variational Estimation for Multidimensional Item Response Theory

    Authors (first, second and last of 4)

    • Chenchen Ma
    • Jing Ouyang
    • Gongjun Xu

    • Content type: Theory & Methods
    • Published: 18 November 2023

    

16. A Latent Hidden Markov Model for Process Data

    Authors

    • Xueying Tang

    • Content type: Theory and Methods
    • Published: 07 November 2023

    

17. Adjusted Residuals for Evaluating Conditional Independence in IRT Models for Multistage Adaptive Testing

    Authors (first, second and last of 4)

    • Peter W. van Rijn
    • Usama S. Ali
    • Sean-Hwane Joo

    • Content type: Theory and Methods
    • Published: 06 November 2023

    

18. Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables

    Authors

    • L. Andries van der Ark
    • Wicher P. Bergsma
    • Letty Koopman

    • Content type: Theory and Methods
    • Open Access
    • Published: 26 September 2023

    • Pages: 1228 - 1248

    

19. How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence

    Authors

    • Jina Park
    • Ick Hoon Jin
    • Minjeong Jeon

    • Content type: Theory & methods
    • Published: 23 September 2023

    • Pages: 1529 - 1555

    

20. A General Theorem and Proof for the Identification of Composed CFA Models

    Authors

    • R. Maximilian Bee
    • Tobias Koch
    • Michael Eid

    • Content type: Theory and Methods
    • Open Access
    • Published: 19 September 2023

    • Pages: 1334 - 1353

    

21. Estimating and Using Block Information in the Thurstonian IRT Model

    Authors

    • Susanne Frick

    • Content type: Theory & Methods
    • Open Access
    • Published: 28 August 2023

    • Pages: 1556 - 1589

    

22. Joint Latent Space Model for Social Networks with Multivariate Attributes

    Authors

    • Selena Wang
    • Subhadeep Paul
    • Paul De Boeck

    • Content type: Theory & Methods
    • Published: 24 August 2023

    • Pages: 1197 - 1227

    

23. DIF Statistical Inference Without Knowing Anchoring Items

    Authors (first, second and last of 4)

    • Yunxiao Chen
    • Chengcheng Li
    • Gongjun Xu

    • Content type: Theory and Methods
    • Open Access
    • Published: 07 August 2023

    • Pages: 1097 - 1122

    

24. A two-step estimator for multilevel latent class analysis with covariates

    Authors (first, second and last of 4)

    • Roberto Di Mari
    • Zsuzsa Bakk
    • Jouni Kuha

    • Content type: Theory and Methods
    • Open Access
    • Published: 06 August 2023

    • Pages: 1144 - 1170

    

25. A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times

    Authors

    • Inhan Kang
    • Minjeong Jeon
    • Ivailo Partchev

    • Content type: Theory and Methods
    • Published: 14 June 2023

    • Pages: 830 - 864

    

26. Measuring Agreement Using Guessing Models and Knowledge Coefficients

    Authors

    • Jonas Moss

    • Content type: Theory and Methods
    • Open Access
    • Published: 08 June 2023

    • Pages: 1002 - 1025

27. Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data

    Authors (first, second and last of 4)

    • Xiuli Du
    • Xiaohu Jiang
    • The Alzheimer’s Disease Neuroimaging Initiative

    • Content type: Theory and Methods
    • Published: 02 June 2023

    • Pages: 975 - 1001

    

28. Factor Tree Copula Models for Item Response Data

    Authors

    • Sayed H. Kadhem
    • Aristidis K. Nikoloulopoulos

    • Content type: Theory and Methods
    • Open Access
    • Published: 01 June 2023

    • Pages: 776 - 802

    

29. Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach

    Authors

    • Steffen Nestler
    • Edgar Erdfelder

    • Content type: Theory and Methods
    • Open Access
    • Published: 29 May 2023

    • Pages: 809 - 829

    

30. Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes

    Authors

    • Viola Merhof
    • Thorsten Meiser

    • Content type: Theory & Methods
    • Open Access
    • Published: 06 February 2023

    • Pages: 1354 - 1380

    

31. Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices

    Authors (first, second and last of 7)

    • Kaidi Kang
    • Megan T. Jones
    • Simon Vandekar

    • Content type: Theory and Methods
    • Open Access
    • Published: 01 February 2023

    • Pages: 253 - 273

    

32. Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models

    Authors

    • Yinghan Chen
    • Steven Andrew Culpepper
    • Yuguo Chen

    • Content type: Theory and Methods
    • Published: 22 January 2023

    • Pages: 613 - 635

    

33. Diagnosing and Handling Common Violations of Missing at Random

    Authors

    • Feng Ji
    • Sophia Rabe-Hesketh
    • Anders Skrondal

    • Content type: Theory and Methods
    • Open Access
    • Published: 04 January 2023

    • Pages: 1123 - 1143

    

34. A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models

    Authors (first, second and last of 4)

    • Maximilian S. Ernst
    • Aaron Peikert
    • Yves Rosseel

    • Content type: Theory and Methods
    • Open Access
    • Published: 25 December 2022

    • Pages: 98 - 116

    

35. Three Psychometric-Model-Based Option-Scored Multiple Choice Item Design Principles that Enhance Instruction by Improving Quiz Diagnostic Classification of Knowledge Attributes

    Authors

    • William Stout
    • Robert Henson
    • Lou DiBello

    • Content type: Theory and Methods
    • Published: 13 December 2022

    • Pages: 1299 - 1333

36. A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models

    Authors

    • Christian Aßmann
    • Jean-Christoph Gaasch
    • Doris Stingl

    • Content type: Theory and Methods
    • Open Access
    • Published: 23 November 2022

    • Pages: 1495 - 1528

    

37. Bi-factor and Second-Order Copula Models for Item Response Data

    Authors

    • Sayed H. Kadhem
    • Aristidis K. Nikoloulopoulos

    • Content type: Theory and Methods
    • Open Access
    • Published: 21 November 2022

    • Pages: 132 - 157

    

38. A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses

    Authors

    • Zhenghao Zeng
    • Yuqi Gu
    • Gongjun Xu

    • Content type: Theory and Methods
    • Published: 01 October 2022

    • Pages: 580 - 612

    

39. Generic Identifiability of the DINA Model and Blessing of Latent Dependence

    Authors

    • Yuqi Gu

    • Content type: Theory and Methods
    • Published: 27 September 2022

    • Pages: 117 - 131

40. Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference

    Authors

    • Motonori Oka
    • Kensuke Okada

    • Content type: Theory and Methods
    • Published: 12 September 2022

    • Pages: 302 - 331

    

41. The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement

    Authors

    • Rutger van Oest

    • Content type: Theory and Methods
    • Open Access
    • Published: 06 September 2022

    • Pages: 554 - 579

    

42. The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees

    Authors (first, second and last of 5)

    • Alessio Baldassarre
    • Elise Dusseldorp
    • Claudio Conversano

    • Content type: Theory and Methods
    • Open Access
    • Published: 03 September 2022

    • Pages: 1443 - 1465

    

43. Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT

    Authors

    • Felix Zimmer
    • Clemens Draxler
    • Rudolf Debelak

    • Content type: Theory and Methods
    • Open Access
    • Published: 27 August 2022

    • Pages: 1249 - 1298

    

44. Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments

    Authors

    • Satoshi Usami

    • Content type: Theory and Methods
    • Open Access
    • Published: 18 August 2022

    • Pages: 1466 - 1494

    

45. Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis

    Authors

    • Chenchen Ma
    • Jimmy de la Torre
    • Gongjun Xu

    • Content type: Theory and Methods
    • Published: 16 August 2022

    • Pages: 51 - 75

    

46. Accurate Assessment via Process Data

    Authors (first, second and last of 5)

    • Susu Zhang
    • Zhi Wang
    • Zhiliang Ying

    • Content type: Theory and Methods
    • Published: 13 August 2022

    • Pages: 76 - 97

    

47. A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses

    Authors

    • Steven Andrew Culpepper

    • Content type: Theory and Methods
    • Published: 27 July 2022

    • Pages: 158 - 174

48. Rotating Factors to Simplify Their Structural Paths

    Authors

    • Guangjian Zhang
    • Minami Hattori
    • Lauren A. Trichtinger

    • Content type: Theory and Methods
    • Published: 22 July 2022

    • Pages: 865 - 887

    

49. Regularized Variational Estimation for Exploratory Item Factor Analysis

    Authors (first, second and last of 4)

    • April E. Cho
    • Jiaying Xiao
    • Gongjun Xu

    • Content type: Original Research
    • Published: 13 July 2022

    

50. A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model

    Authors

    • Xiangbin Meng
    • Gongjun Xu

    • Content type: Theory and Methods
    • Published: 01 June 2022

    • Pages: 1407 - 1442