Predicting job performance: A comparison of expert opinion and research findings
A survey was conducted of New Zealand personnel consultants. Their beliefs about the validity of various selection tools and their claimed usage of these tools was then compared with the validities in a previously published meta-analysis. The experts claimed to use the predictors they believed to be most valid. However, their beliefs about validity were unrelated to empirically demonstrated validities (Spearman's rho = -0.06). Suggestions were made on the types of research that are needed to improve predictive ability in selection and on the ways in which practitioners can use existing research.
(This abstract was borrowed from another version of this item.)
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Janz, Tom & Etherington, Lois, 1985. "Using forecasted net benefits in designing improved recruitment and selection systems," International Journal of Forecasting, Elsevier, vol. 1(3), pages 287-296.
- Slovic, Paul & Fleissner, Dan & Bauman, W Scott, 1972. "Analyzing the Use of Information in Investment Decision Making: A Methodological Proposal," The Journal of Business, University of Chicago Press, vol. 45(2), pages 283-301, April.
When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:5:y:1989:i:2:p:187-194. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.