Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information Leadership, Fifth Edition

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Organizational Research Methods
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Bobko, P.
Right arrow Articles by Nicewander, A.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Banding Selection Scores in Human Resource Management Decisions: Current Inaccuracies and the Effect of Conditional Standard Errors

Philip Bobko

Gettysburg College

Philip L. Roth

Clemson University

Alan Nicewander

Pacific Metrics, Inc.

The personnel selection literature has recently included discussion of statistically based banding as a way to handle some differences in test scores when assessing job applicants. Banding uses classical test theory and an estimated standard error of measurement to create bands of individual scores, and these bands are treated as equivalent with respect to top-down selection. However, such banding operationally assumes that standard errors of measurement are homogeneous, whereas a focus on the top score logically and statistically implies the use of a conditional standard error. Other methods, such as item response theory and binomial error models, are therefore more appropriate for computing bands. Via example and analysis, the authors demonstrate that more accurately computed bands are substantially narrower under a variety of circumstances than currently computed bands. Bands as currently constructed will label an inaccurate excess of individuals as equivalent, particularly if the test is relatively easy.

Key Words: banding • selection • conditional standard error

Organizational Research Methods, Vol. 8, No. 3, 259-273 (2005)
DOI: 10.1177/1094428105277416


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?