The Complexity of Self–Complexity: An Associated Systems Theory Approach (Schleicher & McConnell, 2005)

The Complexity of Self–Complexity: An Associated Systems Theory Approach (Schleicher & McConnell, 2005)

Schleicher, Deidra J.; McConnell, Allen R.: The Complexity of Self–Complexity: An Associated Systems Theory Approach; in: Social Cognition, Vol. 23 (2005), No. 5, pp. 387-416.
doi: 10.1521/soco.2005.23.5.387

In my search for complexity measurements of intangible projects I came across this approach to measure the most complex thing I could think of – our beautiful mind.

In this article Schleicher & McConnell describe the commonly used trait sorting exercise to measure self-complexity. Participants are presented 25-40 traits or roles on cards. Then they are asked to group them so that they best describe the aspects of their selfs. For example a participant might group well-dressed, anxious, mature into as traits describing the student aspect of her self.
To measure the self-complexity redundancy and relatedness of the groupings need to be assessed using following formula:

H = log2n – ( ∑i ni log2ni ) / n
where
n = total number of attributes for sorting, ni = number of attributes in each group/self-aspect, i = number of groups/self-aspects

Studies have confirmed that participants with a higher self-complexity are better in managing stress, well-being, physical illness, and depression.

Schleicher & McConnell propose a two dimensional concept of self-complexity – (1) target-reference: concrete vs. abstract, (2) self-reference: public vs. private self.

Concrete ← target-reference → Abstract
Visual System Verbal System Public Self
Visual appearance Social Categories Personality Traits
Behavioural Observations Evaluations self-reference
Behavioural Responses Orientations Affective Responses
Action System Affective System Private Self

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