Automated Integrative Complexity: Current Challenges and Future Directions

Shannon C. Houck, Lucian Gideon Conway, Laura Janelle Gornick

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Automating integrative complexity is fraught with many challenges. To address these challenges, we discuss the tension between a specificity approach and a more flexible multiple-pass approach, the multifaceted nature of the complexity construct, the gold standard for complexity measurement, the difficulty of human scoring and its consequences for automation, and some ways forward for creating the best complexity measurements. In so doing, we present new data demonstrating (1) initial evidence for the validity of a new automated system for measuring two different forms of complexity (elaborative and dialectical), (2) the danger of constructing measurements in a purely ad hoc fashion that ignores prospective testing, (3) human-to-computer correspondence is in part a function of human-to-human correspondence, (4) human-to-computer correspondence increases systematically as one uses tests with larger units of analysis, and (5) the lack of correspondence of different systems (both human and automated) may occur in part because they were designed for different units of analysis.

Original languageEnglish (US)
Pages (from-to)647-659
Number of pages13
JournalPolitical Psychology
Volume35
Issue number5
DOIs
StatePublished - Oct 1 2014
Externally publishedYes

Keywords

  • Automation
  • Computer scoring
  • Integrative complexity

ASJC Scopus subject areas

  • Sociology and Political Science
  • Clinical Psychology
  • Experimental and Cognitive Psychology
  • Social Psychology
  • Political Science and International Relations
  • Philosophy

Fingerprint Dive into the research topics of 'Automated Integrative Complexity: Current Challenges and Future Directions'. Together they form a unique fingerprint.

  • Cite this