Using the Statistical Implicative Analysis for Elaborating Behavioral Referentials

Various informatic assessment tools have been created to help human resources managers in evaluating the behavioral profile of a person. The psychological basis of those tools have all been validated, but very few of them have follow a deep statistical analysis. The PerformanSe Echo assessment tool is one of them. It gives the behavioral profile of a person along 10 bipolar dimensions. It has been validated on a population of 4538 subjects in 2004. We are now interested in building a set of psychological indicators based on Echo on a population of 613 experienced executives who are 45 years old and more, and seeking a job. Our goal is twofold: first to confirm the previous validation study, then to build a relevant behavioral referential on this population. The final goal is to have relevant indicators helping to understand the link between some behavioral characteristics and current profiles that can be categorized in the population. In the end, it may provide the foundation for a decision support tool intended for consultants specialized in coaching and outplacement.

[1]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[2]  Bruce Thompson,et al.  Alternative Ways of Measuring Counselees' Jungian Psychological-Type Preferences. , 2002 .

[3]  M. Carlyn,et al.  An assessment of the Myers-Briggs Type indicator. , 1977, Journal of personality assessment.

[4]  David A. Cowan.  An Alternative to the Dichotomous Interpretation of Jung's Psychological Functions: Developing More Sensitive Measurement Technology , 1989 .

[5]  I. B. Myers.  The myers-briggs type indicator , 1962 .

[6]  O C Tzeng,et al.  Item validity of the Myers-Briggs Type Indicator. , 1984, Journal of personality assessment.

[7]  J. Bransford,et al.  Constraints on effective elaboration: Effects of precision and subject generation , 1979 .

[8]  Robert J. Harvey,et al.  Evaluation of Three Short-Form Versions of the Myers-Briggs Type Indicator , 1994 .

[9]  J. S. Wiggins,et al.  The five-factor model of personality : theoretical perspectives , 1996 .

[10]  Taran Patel.  Comparing the Usefulness of Conventional and Recent Personality Assessment Tools , 2006 .

[11]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[12]  Régis Gras,et al.  L'implication statistique : nouvelle méthode exploratoire de données : applications à la didactique , 1996 .

[13]  Linda K. Stroh,et al.  Organizational behavior. , 1970, Physical therapy.

[14]  J. G. Carlson.  Recent assessments of the Myers-Briggs Type Indicator. , 1985, Journal of personality assessment.

[15]  Régis Gras,et al.  Implicative statistical analysis , 1998 .