Implications and Applications of Relational Thinking Styles

Implications and Applications of Relational Thinking Styles

ISBN13: 9781466609723|ISBN10: 1466609729|EISBN13: 9781466609730
DOI: 10.4018/978-1-4666-0972-3.ch008
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MLA

Phyllis Chiasson and Jayne Tristan. "Implications and Applications of Relational Thinking Styles." Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling, IGI Global, 2012, pp.142-160. https://doi.org/10.4018/978-1-4666-0972-3.ch008

APA

P. Chiasson & J. Tristan (2012). Implications and Applications of Relational Thinking Styles. IGI Global. https://doi.org/10.4018/978-1-4666-0972-3.ch008

Chicago

Phyllis Chiasson and Jayne Tristan. "Implications and Applications of Relational Thinking Styles." In Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0972-3.ch008

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Abstract

Over the past thirty-five years, the Davis Non-Verbal Standardized Assessment has been applied within many different fields and business applications including education, social and counseling services, criminal justice, risk management, hiring, succession planning, and so on. RTS provides a platform for further study of the relationships between inference styles and temperament, and the correspondence of these patterns to Peirce’s methodeutic, which resembles elements identified by the RTS model. Action patterns from the DNV are observable in real-time standardized testing situations from which predictions are made based upon the effects of the interactions of elements that indicate a particular style. No other research has thus far addressed the inherent non-linguistic nature of inferencing. Because the DNV assessment functions as a standard for making observations objective during test situations (in the same way a thermometer makes possible observations of temperature) the DNV has specific predictive capabilities. Formal reliability and discriminate validity studies performed at the University of Oregon in 2002-2003 demonstrated high inter-rater reliability and good retest reliability, as well as a strong relationship between the DNV and certain instruments used for discriminate validity studies. However, operational studies (probably by means of computational modeling and/or game theory) will be required to determine the long-term predictive validity of this assessment.

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