Phychometrics In A Mars Mission Team

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When constructing a team whose congruence, productivity, and adaptability are crucial to the success of a highly-invested-in project, such as a manned mission to Mars, personnel selection becomes much more complicated than simply selecting those individuals most highly qualified for the job. In a hypothetical, but not unrealistic, situation in which eight individuals must be selected for the construction of a Mars mission team, and nearly one hundred applicants meet the technical qualifications in terms of knowledge, skills, and experience, a method of predicting which combination of individuals will constitute the most successful team would be an important factor in maximizing returns on the investment put into the mission (Kanas et al, 2009). However, there is much debate surrounding the usefulness and accuracy of several currently available “psychometric assessments”. While they may provide perspective on an applicant’s personality or interpersonal interaction style, they do not specifically assess the intrinsic or potential compatibility between specific individuals that underlies the formation of a small synergistic team. This paper will explain these “psychometrics”, and will then explore the algorithm-based methods that have come under the spotlight in the fields of matchmaking services and employee-employer matching. I will argue that these methods, either alone or in conjunction with psychometrics, are more appropriate in the context of constructing a Mars mission crew than psychometrics alone.

1. On The Limited Success Of Psychometric Assessments
It has been hypothesized that groups or pairs with high interpersonal compatibility perform better on collective tasks (Hill, 1975). However, as I will demonstrate in the follo...

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...changes in mood or outlook on life (Howes 1979). This data could then be fed into the OkCupid algorithm to determine the match percentages of every two person combination, and a simple additional algorithm could be used to identify groups with maximized average match percentage. In addition to this, the FFM could be used to identify individuals with personality profiles most congruent with the predictions of Canadian Space Psychology’s characteristics of successful long-duration missions, and give them additional preference in personnel selection. This combination could be an important safeguard, considering that two individuals with a high match percentage could still both be unfit for space travel. Finally, it would be important to train the finalists together for an extended period of time, to test the predictions of the algorithms and psychometrics (Kanas, 2009).

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