title: Unraveling the web of personality judgments: the influence of social networks on personality assessment.
abstract: Contemporary assessment models have focused on the degree to which self- and other reports of personality description agree in an effort to define consensus and agreement about personality attributes. In general, we believe that analyses of this type of data have been limited in that they tend to focus on both simple models (usually dyad-based) and simple aggregations of data (usually correlations between self- and other ratings). In addition, the behaviors used as stimuli in experimental settings lack the richness of behaviors in natural social settings. Here, we present some ideas from social network models in an effort to influence broader conceptualizations of agreement and consensus in assessment. Social network models provide a more complete description of interpersonal behavior beyond the dyadic level in both laboratory and natural settings. After defining some basic social network concepts, we go on to suggest the applicability of these concepts to personality assessment and, more specifically, to how these models might be used to study self-other agreement and consensus about personality judgments. Empirical data are used to illustrate social network concepts in the domain of personality assessment.
authors.affiliation: University of Illinois, Urbana-Champaign, National Center for Supercomputing Operations, Champaign, IL 61820.
authors.forename: A
authors.initials: A
authors.lastname: Kanfer
authors.forename: J S
authors.initials: JS
authors.lastname: Tanaka
mesh_terms: D005260:Female; D006801:Humans; D007398:Interpersonal Relations; D008297:Male; D015588:Observer Variation; D010551:Personality; D010552:Personality Assessment; D012647:Self-Assessment