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

被引:26
作者
Blanchard, M. Annelise [1 ,2 ]
Contreras, Alba [1 ]
Kalkan, Rana Begum [1 ,3 ]
Heeren, Alexandre [1 ,2 ,4 ]
机构
[1] Catholic Univ Louvain, Psychol Sci Res Inst, Pl Cardinal Mercier 10, B-1348 Louvain La Neuve, Belgium
[2] Belgian Natl Sci Fdn FRS FNRS, Brussels, Belgium
[3] Katholieke Univ Leuven, Leuven, Belgium
[4] Catholic Univ Louvain, Inst Neurosci, Brussels, Belgium
基金
美国国家科学基金会;
关键词
Temporal network analysis; Scoping review; Ecological momentary assessment; Time series data; Network approach; TIME-SERIES; MENTAL-DISORDERS; DYNAMICS; PERSPECTIVE; DEPRESSION; TRANSPARENCY; REFLECTIONS; PERSONALITY; ATTRITION; KNOWLEDGE;
D O I
10.3758/s13428-022-01839-y
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
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.
引用
收藏
页码:767 / 787
页数:21
相关论文
共 105 条
[1]   Social Media and Depression Symptoms: A Network Perspective [J].
Aalbers, George ;
McNally, Richard J. ;
Heeren, Alexandre ;
de Wit, Sanne ;
Fried, Eiko I. .
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2019, 148 (08) :1454-1462
[2]   Participants Attrition in a Longitudinal Study: The Malaysian Cohort Study Experience [J].
Abdullah, Noraidatulakma ;
Kamaruddin, Mohd Arman ;
Goh, Ying-Xian ;
Othman, Raihannah ;
Dauni, Andri ;
Abd Jalal, Nazihah ;
Yusuf, Nurul Ain Mhd ;
Kamat, Salywana A. ;
Basri, Nor Hazlinawati ;
Jamal, Rahman .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (14)
[3]   Sparse time series chain graphical models for reconstructing genetic networks [J].
Abegaz, Fentaw ;
Wit, Ernst .
BIOSTATISTICS, 2013, 14 (03) :586-599
[4]   The network takeover [J].
Barabasi, Albert-Laszlo .
NATURE PHYSICS, 2012, 8 (01) :14-16
[5]  
Blanchard M. A., 2020, Reference Module in Neuroscience and Biobehavioral Psychology, DOI [10.1016/B978-0-12-818697-8.00044-3, DOI 10.1016/B978-0-12-818697-8.00044-3]
[6]   Network analysis of multivariate data in psychological science [J].
Borsboom, Denny ;
Deserno, Marie K. ;
Rhemtulla, Mijke ;
Epskamp, Sacha ;
Fried, Eiko, I ;
McNally, Richard J. ;
Robinaugh, Donald J. ;
Perugini, Marco ;
Dalege, Jonas ;
Costantini, Giulio ;
Isvoranu, Adela-Maria ;
Wysocki, Anna C. ;
van Borkulo, Claudia D. ;
van Bork, Riet ;
Waldorp, Lourens J. .
NATURE REVIEWS METHODS PRIMERS, 2021, 1 (01)
[7]   A network theory of mental disorders [J].
Borsboom, Denny .
WORLD PSYCHIATRY, 2017, 16 (01) :5-13
[8]   Network Analysis: An Integrative Approach to the Structure of Psychopathology [J].
Borsboom, Denny ;
Cramer, Angelique O. J. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 :91-121
[9]   Can We Jump from Cross-Sectional to Dynamic Interpretations of Networks? Implications for the Network Perspective in Psychiatry [J].
Bos, Fionneke M. ;
Snippe, Evelien ;
de Vos, Stijn ;
Hartmann, Jessica A. ;
Simons, Claudia J. P. ;
van der Krieke, Lian ;
de Jonge, Peter ;
Wichers, Marieke .
PSYCHOTHERAPY AND PSYCHOSOMATICS, 2017, 86 (03) :175-177
[10]   Revealing the dynamic network structure of the Beck Depression Inventory-II [J].
Bringmann, L. F. ;
Lemmens, L. H. J. M. ;
Huibers, M. J. H. ;
Borsboom, D. ;
Tuerlinckx, F. .
PSYCHOLOGICAL MEDICINE, 2015, 45 (04) :747-757