Volume 87, Issue 2

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June 2022

Special Issue on Forecasting with Intensive Longitudinal Data

Issue Editors:

Kathleen Gates,
Peter F. Halpin,
Siwei Liu

18 articles in this issue

Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data
Peter F. Halpin
Kathleen Gates
Siwei Liu
Editorial 01 March 2022 Pages: 373 - 375
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates
Yanling Li
Zita Oravecz
Sy-Miin Chow
Theory and Methods 25 January 2022 Pages: 376 - 402
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Zachary F. Fisher
Younghoon Kim
Vladas Pipiras
Theory and Methods 21 January 2022 Pages: 1 - 29
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models
Ginette Lafit
Kristof Meers
Eva Ceulemans
Theory and Methods 01 November 2021 Pages: 432 - 476
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data
Michael D. Hunter
Haya Fatimah
Marina A. Bornovalova
Theory and Methods 22 January 2022 Pages: 477 - 505
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation
Steffen Nestler
Sarah Humberg
Theory and Methods Open access 14 August 2021 Pages: 506 - 532
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
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
Augustin Kelava
Pascal Kilian
Holger Brandt
Theory and Methods Open access 02 April 2022 Pages: 533 - 558
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application
Sy-Miin Chow
Jungmin Lee
Peter C. M. Molenaar
Application Reviews and Case Studies 15 March 2022 Pages: 559 - 592
Part of 2 collections:

Forecasting with Intensive Longitudinal Data

Special Section: Forecasting with Intensive Longitudinal Data
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
Esther Ulitzsch
Steffi Pohl
Matthias von Davier
Application Reviews and Case Studies Open access 02 December 2021 Pages: 593 - 619
Part of 3 collections:

Application Reviews and Case Studies (ARCS)

Application Reviews and Case Studies (ARCS)

Special Section: Forecasting with Intensive Longitudinal Data
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data
Joachim Büschken
Ulf Böckenholt
Daniel Stengel
Application Reviews and Case Studies 26 October 2021 Pages: 620 - 665
Part of 3 collections:

Application Reviews and Case Studies (ARCS)

Application Reviews and Case Studies (ARCS)

Special Section: Forecasting with Intensive Longitudinal Data
Semiparametric Factor Analysis for Item-Level Response Time Data
Yang Liu
Weimeng Wang
Theory and Methods 31 January 2022 Pages: 666 - 692
Part of 3 collections:

Theory and Methods

Special Section: Forecasting with Intensive Longitudinal Data

Theory and Methods
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model
Jimmy de la Torre
Xue-Lan Qiu
Kevin Carl Santos
Theory and Methods 29 November 2021 Pages: 693 - 724
Part of 3 collections:

Theory and Methods

Special Section: Forecasting with Intensive Longitudinal Data

Theory and Methods
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model
Inhan Kang
Paul De Boeck
Roger Ratcliff
Theory and Methods 06 January 2022 Pages: 725 - 748
Part of 2 collections:

Theory and Methods

Special Section: Forecasting with Intensive Longitudinal Data
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation
Björn E. Hommel
Franz-Josef M. Wollang
Stefan C. Schmukle
Application Reviews and Case Studies Open access 14 December 2021 Pages: 749 - 772
Part of 3 collections:

Application Reviews and Case Studies (ARCS)

Application Reviews and Case Studies (ARCS)

Special Section: Forecasting with Intensive Longitudinal Data
Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model
Susanne Frick
Theory and Methods Open access 20 December 2021 Pages: 773 - 794
Part of 3 collections:

Theory and Methods

Special Section: Forecasting with Intensive Longitudinal Data

Theory and Methods
Book Review of the Handbook of Graphical Models
Lourens Waldorp
Book Review 18 January 2022 Pages: 795 - 796
Part of 3 collections:

Book Reviews

Book Reviews

Special Section: Forecasting with Intensive Longitudinal Data
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data
Michael D. Hunter
Haya Fatimah
Marina A. Bornovalova
Erratum 13 April 2022 Pages: 797 - 797
Part of 1 collection:

Special Section: Forecasting with Intensive Longitudinal Data
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
Esther Ulitzsch
Steffi Pohl
Matthias von Davier
Erratum 16 February 2022 Pages: 798 - 798
Part of 1 collection:

Special Section: Forecasting with Intensive Longitudinal Data

Volume 87, Issue 2

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