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      The Network Structure of Schizotypal Personality Traits

      1 , 2 , 1 , 3 , 4 , 5 , 6 , 7 , 8 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 2 , 21 , 22 , 23 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 29 , 30 , 26 , 27 , 28 , 31 , 31 , 32 , 32 , 32 , 33
      Schizophrenia Bulletin
      Oxford University Press (OUP)
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          Abstract

          <p id="d602571e557">Elucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites ( <i>M</i> age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar ( <i>r</i> = .74), node centrality was similar across networks ( <i>r</i> = .90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure ( <i>r</i> = 0.44), node centrality ( <i>r</i> = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics. </p>

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          Most cited references70

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          Diagnostic and Statistical Manual of Mental Disorders

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            World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

            (2013)
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              Estimating psychological networks and their accuracy: A tutorial paper

              The usage of psychological networks that conceptualize behavior as a complex interplay of psychological and other components has gained increasing popularity in various research fields. While prior publications have tackled the topics of estimating and interpreting such networks, little work has been conducted to check how accurate (i.e., prone to sampling variation) networks are estimated, and how stable (i.e., interpretation remains similar with less observations) inferences from the network structure (such as centrality indices) are. In this tutorial paper, we aim to introduce the reader to this field and tackle the problem of accuracy under sampling variation. We first introduce the current state-of-the-art of network estimation. Second, we provide a rationale why researchers should investigate the accuracy of psychological networks. Third, we describe how bootstrap routines can be used to (A) assess the accuracy of estimated network connections, (B) investigate the stability of centrality indices, and (C) test whether network connections and centrality estimates for different variables differ from each other. We introduce two novel statistical methods: for (B) the correlation stability coefficient, and for (C) the bootstrapped difference test for edge-weights and centrality indices. We conducted and present simulation studies to assess the performance of both methods. Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods. We showcase bootnet in a tutorial, accompanied by R syntax, in which we analyze a dataset of 359 women with posttraumatic stress disorder available online. Electronic supplementary material The online version of this article (doi:10.3758/s13428-017-0862-1) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Schizophrenia Bulletin
                Oxford University Press (OUP)
                0586-7614
                1745-1701
                November 2018
                October 15 2018
                April 19 2018
                November 2018
                October 15 2018
                April 19 2018
                : 44
                : suppl_2
                : S468-S479
                Affiliations
                [1 ]Department of Educational Sciences, University of La Rioja, La Rioja, Spain
                [2 ]Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
                [3 ]Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
                [4 ]Department of Clinical, Educational and Health Psychology, University College London, London, UK
                [5 ]Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
                [6 ]Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
                [7 ]Department of Psychology, University of Hawaii at Manoa
                [8 ]Department of Psychology, University of British Columbia, Canada
                [9 ]School of Psychology, University of Wollongong, Wollongong, Australia
                [10 ]Department of Psychology, University of Otago, Dunedin, New Zealand
                [11 ]Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC
                [12 ]Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona, Spain
                [13 ]Department of Psychology, Louisiana State University, Louisiana, LA
                [14 ]Department of Criminology, University of Pennsylvania
                [15 ]Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
                [16 ]Department of Psychology, University of Pennsylvania
                [17 ]Department of Psychiatry, Lenox Hill Hospital, New York, NY
                [18 ]Department of Psychology, Georgia State University, Atlanta, GA
                [19 ]Department of Psychology, Ohio University Athens, OH
                [20 ]Department of Medicine, University of Navarra, Pamplona, Spain
                [21 ]Department of Psychiatry, University of Oviedo, Oviedo, Spain
                [22 ]Department of Psychology, University of La Laguna, Tenerife, Spain
                [23 ]Department of Psychology, University of Crete, Rethymno, Greece
                [24 ]Genneruxi Medical Center, Cagliari, Italy
                [25 ]Department of Psychology, Southern Methodist University, Dallas, TX
                [26 ]Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
                [27 ]NORMENT—Norwegian Center of Excellence for Mental Disorders Research, University of Oslo, Oslo, Norway
                [28 ]Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
                [29 ]Psychiatry Department, University Hospital of Monastir, Monastir, Tunisia
                [30 ]Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
                [31 ]Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
                [32 ]Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
                [33 ]Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
                Article
                10.1093/schbul/sby044
                6188518
                29684178
                67d05feb-6558-4d2b-87eb-956902311944
                © 2018

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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