The Neurological Basis for Leader Complexity

Project: Research project

Description

1.0 Define Requirements Scholars at the United States Military Academy (USMA) collaborate with faculty members at the Center for Responsible Leadership (CRL) of Arizona State University (ASU) to collect and analyze psychometric, task response, and/or quantitative electroencephalogram (qEEG) data from the U.S. Army community in an effort to identify neural correlates of various cognitive processes underlying leader self complexity. Data collection phases of the project involving 100 subjects have been completed. This statement of work involves the need to evaluate the content of recently conducted interviews and comprehensive responses to a tactical military scenario, then associate individual leader characteristics gained from these exercises to underlying psychometric and neurometric profiles. Further, the statement of work covers the need to disseminate study findings to the greater military community and to scholarly journals. 1.1 Digitizing Recordings of Interviews and Responses to Scenario Edit analog voice recordings of interviews and subject responses to the tactical military scenario and produce digital MP3 files. These digital files will be used to simplify the work of expert coders tasked with assessing the content of the responses. 1.2 Transcription of Interviews and Responses to Scenario Produce a complete transcript of each interview conducted and all subject responses to the tactical military scenario questions. Transcriptions will be used by expert coders and by computer-based semantic analyzers. That is, programs that will assess the words and concepts used by the subjects in their responses to the tactical military scenario. 1.3 Expert Coding of Responses to Scenario Expert coders (in the form of U. S. Army reservists with recent active duty local to Phoenix, Arizona) will listen to subject answers to the tactical military scenario and read the transcripts of the responses, then provide a comprehensive assessment of the performance of each subject on a variety of predetermined scales. These coders will be trained and supervised by CRL faculty members. 1.4 Semantic Analysis of Interviews and Responses to Scenario Artificial Intelligence-type software programs will analyze the content of transcripts; it will report on the words and concepts used by the subjects in their responses to the tactical military scenario.
StatusFinished
Effective start/end date9/29/084/1/10

Funding

  • DOD-ARMY: US Military Academy (Westpoint): $23,900.00

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leader
scenario
Military
interview
expert
psychometrics
military
recording
semantics
leadership
artificial intelligence
soldier
academy
community
coding
performance