Using hierarchical linear modeling to examine dynamic performance criteria over time

被引：49

作者：

Deadrick, DL ^{[1
]}

Bennett, N

Russell, CJ

机构：

[1] Old Dominion Univ, Dept Management, Norfolk, VA 23529 USA

[2] Louisiana State Univ, Baton Rouge, LA 70803 USA

[3] Univ Oklahoma, Norman, OK 73019 USA

来源：

JOURNAL OF MANAGEMENT | 1997年 / 23卷 / 06期

关键词：

D O I：

10.1177/014920639702300603

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate 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 hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

引用

页码：745 / 757

页数：13

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