Literature DB >> 20584385

Latent variable models are network models.

Peter C M Molenaar1.   

Abstract

Cramer et al. present an original and interesting network perspective on comorbidity and contrast this perspective with a more traditional interpretation of comorbidity in terms of latent variable theory. My commentary focuses on the relationship between the two perspectives; that is, it aims to qualify the presumed contrast between interpretations in terms of networks and latent variables.

Mesh:

Year:  2010        PMID: 20584385     DOI: 10.1017/S0140525X10000798

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  9 in total

1.  Latent variable and network models of comorbidity: toward an empirically derived nosology.

Authors:  Nicholas R Eaton
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-01-20       Impact factor: 4.328

2.  New insights into the correlation structure of DSM-IV depression symptoms in the general population v. subsamples of depressed individuals.

Authors:  S Foster; M Mohler-Kuo
Journal:  Epidemiol Psychiatr Sci       Date:  2017-01-09       Impact factor: 6.892

3.  Network analysis of depression and anxiety symptom relationships in a psychiatric sample.

Authors:  C Beard; A J Millner; M J C Forgeard; E I Fried; K J Hsu; M T Treadway; C V Leonard; S J Kertz; T Björgvinsson
Journal:  Psychol Med       Date:  2016-09-14       Impact factor: 7.723

4.  Problems with Centrality Measures in Psychopathology Symptom Networks: Why Network Psychometrics Cannot Escape Psychometric Theory.

Authors:  Michael N Hallquist; Aidan G C Wright; Peter C M Molenaar
Journal:  Multivariate Behav Res       Date:  2019-08-12       Impact factor: 5.923

5.  Evaluating the Viability of Neurocognition as a Transdiagnostic Construct Using Both Latent Variable Models and Network Analysis.

Authors:  Hana-May Eadeh; Kristian E Markon; Joel T Nigg; Molly A Nikolas
Journal:  Res Child Adolesc Psychopathol       Date:  2021-02-03

6.  Beyond dual systems: A genetically-informed, latent factor model of behavioral and self-report measures related to adolescent risk-taking.

Authors:  K Paige Harden; Natalie Kretsch; Frank D Mann; Kathrin Herzhoff; Jennifer L Tackett; Laurence Steinberg; Elliot M Tucker-Drob
Journal:  Dev Cogn Neurosci       Date:  2016-12-26       Impact factor: 6.464

7.  All Happy Emotions Are Alike but Every Unhappy Emotion Is Unhappy in Its Own Way: A Network Perspective to Academic Emotions.

Authors:  Markus Mattsson; Telle Hailikari; Anna Parpala
Journal:  Front Psychol       Date:  2020-04-30

8.  A facet atlas: Visualizing networks that describe the blends, cores, and peripheries of personality structure.

Authors:  Ted Schwaba; Mijke Rhemtulla; Christopher J Hopwood; Wiebke Bleidorn
Journal:  PLoS One       Date:  2020-07-30       Impact factor: 3.240

9.  Visualisation and network analysis of physical activity and its determinants: Demonstrating opportunities in analysing baseline associations in the Let's Move It trial.

Authors:  Matti T J Heino; Keegan Knittle; Eiko Fried; Reijo Sund; Ari Haukkala; Katja Borodulin; Antti Uutela; Vera Araujo-Soares; Tommi Vasankari; Nelli Hankonen
Journal:  Health Psychol Behav Med       Date:  2019-07-25
  9 in total

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