Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches

Alexander P. Christensen, Yoed N. Kenett, Tomaso Aste, Paul J. Silvia, Thomas R. Kwapil

Research output: Contribution to journalArticlepeer-review

Abstract

Schizotypy is a multidimensional construct that provides a useful framework for understanding the etiology, development, and risk for schizophrenia-spectrum disorders. Past research has applied traditional methods, such as factor analysis, to uncovering common dimensions of schizotypy. In the present study, we aimed to advance the construct of schizotypy, measured by the Wisconsin Schizotypy Scales–Short Forms (WSS-SF), beyond this general scope by applying two different psychometric network filtering approaches—the state-of-the-art approach (lasso), which has been employed in previous studies, and an alternative approach (information-filtering networks; IFNs). First, we applied both filtering approaches to two large, independent samples of WSS-SF data (ns = 5,831 and 2,171) and assessed each approach’s representation of the WSS-SF’s schizotypy construct. Both filtering approaches produced results similar to those from traditional methods, with the IFN approach producing results more consistent with previous theoretical interpretations of schizotypy. Then we evaluated how well both filtering approaches reproduced the global and local network characteristics of the two samples. We found that the IFN approach produced more consistent results for both global and local network characteristics. Finally, we sought to evaluate the predictability of the network centrality measures for each filtering approach, by determining the core, intermediate, and peripheral items on the WSS-SF and using them to predict interview reports of schizophrenia-spectrum symptoms. We found some similarities and differences in their effectiveness, with the IFN approach’s network structure providing better overall predictive distinctions. We discuss the implications of our findings for schizotypy and for psychometric network analysis more generally.

Original languageEnglish (US)
Pages (from-to)2531-2550
Number of pages20
JournalBehavior Research Methods
Volume50
Issue number6
DOIs
StatePublished - Dec 1 2018

Keywords

  • Network analysis
  • Schizophrenia-spectrum disorders
  • Schizotypy

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • General Psychology

Fingerprint

Dive into the research topics of 'Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches'. Together they form a unique fingerprint.

Cite this