Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

Journal of Management, 23: 745-757, 1997

13 Pages Posted: 15 Apr 2014

See all articles by Diana L Deadrick

Diana L Deadrick

Old Dominion University

Nathan Bennett

Georgia Institute of Technology - Organizational Behavior Area; J. Mack Robinson College of Business

Craig J. Russell

University of Oklahoma

Date Written: 1997

Abstract

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.

Suggested Citation

Deadrick, Diana L and Bennett, Nathan and Russell, Craig J., Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time (1997). Journal of Management, 23: 745-757, 1997, Available at SSRN: https://ssrn.com/abstract=2424568

Diana L Deadrick

Old Dominion University ( email )

Norfolk, VA 23529-0222
United States

Nathan Bennett (Contact Author)

Georgia Institute of Technology - Organizational Behavior Area ( email )

800 West Peachtree St.
Atlanta, GA 30308
United States

J. Mack Robinson College of Business ( email )

P.O. Box 4050
Atlanta, GA 30303-3083
United States

HOME PAGE: http://nate-bennett.com

Craig J. Russell

University of Oklahoma ( email )

307 W Brooks
Norman, OK 73019
United States

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