A multi-level perspective on personnel selection: When will practice catch up?

We cluster the issues raised by Ostroff and Schmitt and respond to these clusters rather than to the more detailed ways in which each raised them. These issues concerned: (1) the collection of job analysis information at higher units of analysis (e.g. teams), (2) the analysis of such job analysis information, (3) the use of such job analysis information as a basis for the selection of people to be team members, especially when different selection procedures might be appropriate for different team tasks, (4) the nature of the linkage of criteria internal to organizations and those external to organizations, and (5) how decision makers might weight different criteria of effectiveness as guides to hiring decisions when the criteria exist at different levels of analysis. We note that these are all important issues but spend the most time on the first three having to do with team/group issues in personnel selection psychology. We conclude with a call for researchers to identify the “architecture of organizations” through the use of multi-level computational models. These models would require detailed specification of critical variables at different levels of analysis to permit preliminary exploration of hypothesized relationships. Through such careful explication and model testing, we envision considerable future progress in cross-levels personnel selection practice.

[1]  Cheri Ostroff,et al.  Moving HR to a higher level: HR practices and organizational effectiveness. , 2000 .

[2]  Frank L. Schmidt,et al.  COMPOSITE VS. MULTIPLE CRITERIA: A REVIEW AND RESOLUTION OF THE CONTROVERSY , 1971 .

[3]  Kenneth P. Yusko,et al.  THE ROLE OF COGNITIVE ABILITY IN THE SUBGROUP DIFFERENCES AND INCREMENTAL VALIDITY OF ASSESSMENT CENTER EXERCISES , 1998 .

[4]  Daniel R. Ilgen,et al.  Computational Modeling of Behavior in Organizations: The Third Scientific Discipline , 2000 .

[5]  C. Trevor,et al.  Interactions Among Actual Ease-of-Movement Determinants and Job Satisfaction in the Prediction of Voluntary Turnover , 2001 .

[6]  D. Harris Organizational Linkages: Understanding the Productivity Paradox, , 1997 .

[7]  Earley,et al.  Playing Follow the Leader: Status-Determining Traits in Relation to Collective Efficacy across Cultures. , 1999, Organizational behavior and human decision processes.

[8]  S. Kozlowski,et al.  From Micro to Meso: Critical Steps in Conceptualizing and Conducting Multilevel Research , 2000 .

[9]  Benjamin Schneider,et al.  Stability of performance: An interactionist perspective. , 1990 .

[10]  H. Simon,et al.  The Organization of Complex Systems , 1977 .

[11]  S. Kozlowski,et al.  Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions , 2000 .

[12]  B. Schneider,et al.  Development of the work-facilitation diagnostic. , 1988 .

[13]  Benson Rosen,et al.  ASSESSING THE INCREMENTAL VALIDITY OF TEAM CONSENSUS RATINGS OVER AGGREGATION OF INDIVIDUAL‐LEVEL DATA IN PREDICTING TEAM EFFECTIVENESS , 2001 .

[14]  Benjamin Schneider,et al.  Personnel selection psychology: Multilevel considerations. , 2000 .

[15]  Robert E. Ployhart,et al.  THE SUBSTANTIVE NATURE OF PERFORMANCE VARIABILITY: PREDICTING INTERINDIVIDUAL DIFFERENCES IN INTRAINDIVIDUAL PERFORMANCE , 1998 .