Integrative Complexity at Forty: Steps Toward Resolving the Scoring Dilemma

Suedfeld, Peter; Tetlock, Philip E.

doi:10.1111/pops.12206

Cited by 74 publications

(32 citation statements)

References 31 publications

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“…One such example is integrative complexity (IC), which is one measure of the construct of cognitive complexity that has been used with regularity for decades by political and social psychologists as an indicator of a number of attributes including decision-making style ( Suedfeld and Tetlock, 2014 ). As discussed in Suedfeld and Tetlock (2014) , IC has been used primarily as a method for analyzing running text, including oral recordings, and has applicability for capturing, at a particular moment in time, the degree or level of complexity an individual exhibits when approaching a specific issue or situation. It has been used regularly to examine the decision-making style and related constructs in a range of experienced leaders ( Suedfeld and Tetlock, 2014 ).…”

Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

“…As discussed in Suedfeld and Tetlock (2014) , IC has been used primarily as a method for analyzing running text, including oral recordings, and has applicability for capturing, at a particular moment in time, the degree or level of complexity an individual exhibits when approaching a specific issue or situation. It has been used regularly to examine the decision-making style and related constructs in a range of experienced leaders ( Suedfeld and Tetlock, 2014 ).…”

Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

“…Such preferences can be elicited and recorded via a variety of techniques, such as those used to capture IC. The dedication to methodological rigor in measuring constructs like IC ( Suedfeld and Tetlock, 2014 ) provides a good illustration of the opportunities (and challenges) of observational work, and also offers evidence (accrued across decades) supporting the utility of exploring decision-making constructs as traits that vary across people.…”

Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

See 2 more Smart Citations

Beyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making Process

Connors¹,

Rende

Colton

2016

Front. Psychol.

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People vary in the way in which they approach decision-making, which impacts real-world behavior. There has been a surge of interest in moving beyond reliance on self-report measures to capture such individual differences. Particular emphasis has been placed on devising and applying a range of methodologies that include experimental, neuroscience, and observational paradigms. This paper provides a selective review of recent studies that illustrate the methods and yield of these approaches in terms of generating a deeper understanding of decision-making style and the notable differences that can be found across individuals.

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Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

Section: Observational Methods and Decision-making Stylementioning

confidence: 99%

See 1 more Smart Citation

Beyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making Process

Connors¹,

Rende

Colton

2016

Front. Psychol.

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“…19 Four decades of research have revealed that a drop in thinking complexity, supported by focus on one value as the most important (value monism), predicts violent conflict. 20 The cross-culturally validated measurement frame evaluates the absence or increasing presence of integrative complexity. 21 Integrative complexity measures capture complex reactions to and engagement with difference and disagreement, including the interplay of cognition, emotion, and social processes, e.g., recognizing change over time or mutual influence among conflicted parties.…”

Section: Underlying Theory and Intervention Designmentioning

confidence: 99%

Increasing Cognitive Complexity and Collaboration Across Communities: Being Muslim Being Scottish

Boyd-MacMillan¹

2016

JSS

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“…Automating integrative complexity is fraught with many challenges. We would first like to express our sincere gratitude to Suedfeld and Tetlock (), Tetlock, Metz, Scott, and Suedfeld (), and Young and Hermann () for tackling some of these challenges. Their contributions in this symposium spur an important dialogue about the current state of automating complexity and its future possibilities.…”

mentioning

confidence: 99%

Automated Integrative Complexity: Current Challenges and Future Directions

Houck

Conway

Gornick

2014

Political Psychology

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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.

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Integrative Complexity at Forty: Steps Toward Resolving the Scoring Dilemma

Cited by 74 publications

References 31 publications

Beyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making Process

Beyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making Process

Increasing Cognitive Complexity and Collaboration Across Communities: Being Muslim Being Scottish

Automated Integrative Complexity: Current Challenges and Future Directions

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