Literature DB >> 35469085

Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review.

M Annelise Blanchard1,2, Alba Contreras3, Rana Begum Kalkan3,4, Alexandre Heeren3,5,6.   

Abstract

Network analyses have become increasingly common within the field of psychology, and temporal network analyses in particular are quickly gaining traction, with many of the initial articles earning substantial interest. However, substantial heterogeneity exists within the study designs and methodology, rendering it difficult to form a comprehensive view of its application in psychology research. Since the field is quickly growing and since there have been many study-to-study variations in terms of choices made by researchers when collecting, processing, and analyzing data, we saw the need to audit this field and formulate a comprehensive view of current temporal network analyses. To systematically chart researchers' practices when conducting temporal network analyses, we reviewed articles conducting temporal network analyses on psychological variables (published until March 2021) in the framework of a scoping review. We identified 43 articles and present the detailed results of how researchers are currently conducting temporal network analyses. A commonality across results concerns the wide variety of data collection and analytical practices, along with a lack of consistency between articles about what is reported. We use these results, along with relevant literature from the fields of ecological momentary assessment and network analysis, to formulate recommendations on what type of data is suited for temporal network analyses as well as optimal methods to preprocess and analyze data. As the field is new, we also discuss key future steps to help usher the field's progress forward and offer a reporting checklist to help researchers navigate conducting and reporting temporal network analyses.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Ecological momentary assessment; Network approach; Scoping review; Temporal network analysis; Time series data

Year:  2022        PMID: 35469085     DOI: 10.3758/s13428-022-01839-y

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  61 in total

1.  A network theory of mental disorders.

Authors:  Denny Borsboom
Journal:  World Psychiatry       Date:  2017-02       Impact factor: 49.548

2.  Can We Jump from Cross-Sectional to Dynamic Interpretations of Networks? Implications for the Network Perspective in Psychiatry.

Authors:  Fionneke M Bos; Evelien Snippe; Stijn de Vos; Jessica A Hartmann; Claudia J P Simons; Lian van der Krieke; Peter de Jonge; Marieke Wichers
Journal:  Psychother Psychosom       Date:  2017-05-11       Impact factor: 17.659

Review 3.  Network analysis: an integrative approach to the structure of psychopathology.

Authors:  Denny Borsboom; Angélique O J Cramer
Journal:  Annu Rev Clin Psychol       Date:  2013       Impact factor: 18.561

4.  Sparse time series chain graphical models for reconstructing genetic networks.

Authors:  Fentaw Abegaz; Ernst Wit
Journal:  Biostatistics       Date:  2013-03-05       Impact factor: 5.899

5.  Assessing Temporal Emotion Dynamics Using Networks.

Authors:  Laura F Bringmann; Madeline L Pe; Nathalie Vissers; Eva Ceulemans; Denny Borsboom; Wolf Vanpaemel; Francis Tuerlinckx; Peter Kuppens
Journal:  Assessment       Date:  2016-08

6.  Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators.

Authors:  Heining Cham; Evgeniya Reshetnyak; Barry Rosenfeld; William Breitbart
Journal:  Multivariate Behav Res       Date:  2016-11-11       Impact factor: 5.923

7.  Psychopathological networks: Theory, methods and practice.

Authors:  Laura F Bringmann; Casper Albers; Claudi Bockting; Denny Borsboom; Eva Ceulemans; Angélique Cramer; Sacha Epskamp; Markus I Eronen; Ellen Hamaker; Peter Kuppens; Wolfgang Lutz; Richard J McNally; Peter Molenaar; Pia Tio; Manuel C Voelkle; Marieke Wichers
Journal:  Behav Res Ther       Date:  2021-12-01

8.  Revealing the dynamic network structure of the Beck Depression Inventory-II.

Authors:  L F Bringmann; L H J M Lemmens; M J H Huibers; D Borsboom; F Tuerlinckx
Journal:  Psychol Med       Date:  2014-09-05       Impact factor: 7.723

Review 9.  What do centrality measures measure in psychological networks?

Authors:  Laura F Bringmann; Timon Elmer; Sacha Epskamp; Robert W Krause; David Schoch; Marieke Wichers; Johanna T W Wigman; Evelien Snippe
Journal:  J Abnorm Psychol       Date:  2019-07-18

10.  Participants Attrition in a Longitudinal Study: The Malaysian Cohort Study Experience.

Authors:  Noraidatulakma Abdullah; Mohd Arman Kamaruddin; Ying-Xian Goh; Raihannah Othman; Andri Dauni; Nazihah Abd Jalal; Nurul Ain Mhd Yusuf; Salywana A Kamat; Nor Hazlinawati Basri; Rahman Jamal
Journal:  Int J Environ Res Public Health       Date:  2021-07-06       Impact factor: 3.390

View more
  1 in total

1.  On climate anxiety and the threat it may pose to daily life functioning and adaptation: a study among European and African French-speaking participants.

Authors:  Alexandre Heeren; Camille Mouguiama-Daouda; Alba Contreras
Journal:  Clim Change       Date:  2022-07-27       Impact factor: 5.174

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.