Collection
Special Section: Network Psychometrics in Action
- Submission status
- Closed
The idea that properties measured by psychological tests are best seen as complex systems in which specific emotions, thoughts, and behaviors interact with one another has inspired the network approach in psychometrics. Graphical models, or networks, have become a popular alternative to classic psychometric approaches using latent variables. This popularity is partly due to the development of new methods and new software that have made it easy for researchers to estimate graphical models based on psychological data, visualize the estimated structures, and conduct psychometric analyses of the estimated networks. These tools have made the network approach highly accessible, and thus facilitated a flourishing literature on applied network approaches to, among others, psychopathology, intelligence, personality, and political attitudes.
But the available suite of tools for the empirical analysis of networks remains limited. As a result, there are many applications of network psychometrics in which key analyses cannot be conducted and important questions are left unanswered. An important example can be found in psychopathology research —the primary application of network psychometrics— which lacks a proper way to handle the non-ignorable missing data patterns that are introduced by questionnaires with a skip structure. In addition, expanding the network approach to other substantive areas will reveal unique methodological challenges. Important examples include the assumed invariance of network structures across age and ability groups in intelligence research, and the problem that variables covary at different levels —e.g., individuals, schools— in educational surveys. These and many other applications of network psychometrics await methodological innovations to answer fundamental research questions. Be it a new analysis approach, test or model, or an extension of existing methods. We believe that the best way to move the field forward is to propose innovative solutions that are inspired by the substantive problems in psychological science.
The aim of the special issue is to showcase how methodological innovations in the network approach that are inspired by real data can be used to answer important substantive questions in psychological and educational research. With the network approach we refer here to the analysis of psychological and educational data using graphical models, which precludes the exclusive use of random graph models that are used in social network analyses, for example.
Editors
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Maarten Marsman
PhD, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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Mijke Rhemtulla
PhD, Department of Psychology, University of California at Davis, Davis, California, USA
Articles (16 in this collection)
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Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems
Authors
- Maarten Marsman
- Mijke Rhemtulla
- Content type: Application Reviews and Case Studies
- Open Access
- Published: 09 April 2022
- Pages: 1 - 11
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Objective Bayesian Edge Screening and Structure Selection for Ising Networks
Authors (first, second and last of 4)
- M. Marsman
- K. Huth
- I. Ntzoufras
- Content type: Application Reviews and Case Studies
- Open Access
- Published: 22 February 2022
- Pages: 47 - 82
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Erratum to: Meta-analytic Gaussian Network Aggregation
Authors
- Sacha Epskamp
- Adela-Maria Isvoranu
- Mike W.-L. Cheung
- Content type: Publisher's Erratum
- Published: 28 January 2022
- Pages: 372 - 372
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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
Authors (first, second and last of 5)
- Hudson Golino
- Alexander P. Christensen
- Steven M. Boker
- Content type: Application Reviews and Case Studies
- Open Access
- Published: 10 November 2021
- Pages: 156 - 187
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Multidimensional Item Response Theory in the Style of Collaborative Filtering
Authors
- Yoav Bergner
- Peter Halpin
- Jill-Jênn Vie
- Content type: Application Reviews and Case Studies
- Published: 26 October 2021
- Pages: 266 - 288
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Book Review: W. H. FINCH, J. E. Bolin and K. Kelley: Multilevel Modeling Using R
Authors
- Nivedita Bhaktha
- Content type: Book Review
- Open Access
- Published: 23 October 2021
- Pages: 369 - 371
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Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding
Authors
- Youmi Suk
- Hyunseung Kang
- Content type: Theory and Methods
- Published: 15 October 2021
- Pages: 310 - 343
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On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence
Authors
- Domingo Morales
- Joscha Krause
- Jan Pablo Burgard
- Content type: Application Reviews and Case Studies
- Open Access
- Published: 06 September 2021
- Pages: 344 - 368
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Second-Order Disjoint Factor Analysis
Authors
- Carlo Cavicchia
- Maurizio Vichi
- Content type: Theory and Methods
- Open Access
- Published: 17 August 2021
- Pages: 289 - 309
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On the Control of Psychological Networks
Authors
- Teague R. Henry
- Donald J. Robinaugh
- Eiko I. Fried
- Content type: Application Reviews and Case Studies
- Published: 14 August 2021
- Pages: 188 - 213
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Disentangling relationships in symptom networks using matrix permutation methods
Authors
- Michael J. Brusco
- Douglas Steinley
- Ashley L. Watts
- Content type: Applications and case Studies
- Published: 19 July 2021
- Pages: 133 - 155
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Meta-analytic Gaussian Network Aggregation
Authors
- Sacha Epskamp
- Adela-Maria Isvoranu
- Mike W.-L. Cheung
- Content type: Theory and Methods
- Open Access
- Published: 15 July 2021
- Pages: 12 - 46
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Estimating Finite Mixtures of Ordinal Graphical Models
Authors (first, second and last of 4)
- Kevin H. Lee
- Qian Chen
- Lingzhou Xue
- Content type: Application Reviews and Case Studies
- Published: 30 June 2021
- Pages: 83 - 106
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Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality
Authors
- Oisín Ryan
- Ellen L. Hamaker
- Content type: Application Reviews and Case Studies
- Open Access
- Published: 24 June 2021
- Pages: 214 - 252
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ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time
Authors (first, second and last of 5)
- Nadja Bodner
- Laura Bringmann
- Eva Ceulemans
- Content type: Application Reviews and Case Studies
- Published: 01 June 2021
- Pages: 107 - 132