USING HIERARCHICAL LINEAR MODELING TO EXAMINE DYNAMIC PERFORMANCE CRITERIA OVER TIME

The selection literature has long debated the theoretical and practica l significance of dynamic criteria. Recent research has begun to explo re the nature of individual performance over time. This study contribu tes to this body of research through a hierarchical linear modeling an alysis of dynamic criteria. The purpose of this study was to investiga te the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hiera rchical linear modeling analysis suggest that ability measures are dif ferentially related to initial performance and performance improvement trend.