[IPAC-List] Two Information Requests

[Aguinis, Herman]

Dennis,

One suggestion is to discuss recent research regarding the existence of differential prediction and differential validity-issues that seem to have been dormant for a long time but are now being revived. Obviously, these are "hot issues" that have the potential to change the conversation regarding testing and assessment research and practice. Some relevant sources are the following:


·       Aguinis, H., Culpepper, S. A., & Pierce, C. A. (2010). Revival of test bias research in preemployment testing. Journal of Applied Psychology, 95, 648-680. [available at http://mypage.iu.edu/~haguinis/pubs.html]

·       Aguinis, H., Culpepper, S.A., & Pierce, C.A. (2014). Institution-level variability in differential prediction in college admissions testing. Working paper.

·       Berry, C. M., Clark, M. A., & McClure, T. (2011). Black-White differences in the criterion-related validity of cognitive ability tests: A qualitative and quantitative review. Journal of Applied Psychology, 96, 881-906.

·       Fischer, F. T., Schult, J., & Hell, B. (2013). Sex-specific differential prediction of college admission tests: A meta-analysis. Journal of Educational Psychology, 105, 478-488.

·       Mattern, K. D., & Patterson, B. F. (2013). Test of slope and intercept bias in college admissions: A response to Aguinis, Culpepper, and Pierce (2010). Journal of Applied Psychology, 98, 134-147.

A second suggestion is research regarding the non-normal distribution of performance. The possibility that performance is non-normally distributed is another issue that has the potential to change the conversation in terms of testing and assessment research and practice given that the majority of current models assume normality (starting with the OLS regression/correlation models that we use in pretty much every single validation study). Some relevant sources are the following:


·       Aguinis, H., O'Boyle, E., Gonzalez-Mulé, E., & Joo, H. (in press). Cumulative advantage: Conductors and insulators of heavy-tailed productivity distributions and productivity stars. Personnel Psychology. [available at http://mypage.iu.edu/~haguinis/pubs.html]

·       Aguinis, H., & O'Boyle, E. (2014). Star performers in twenty-first-century organizations. Personnel Psychology, 67, 313-350. [available at http://mypage.iu.edu/~haguinis/pubs.html]

·       Beck, J. W., Beatty, A. S., & Sackett, P. R. (2014). On the distribution of job performance: The role of measurement characteristics in observed departures from normality. Personnel Psychology, 67, 531-566.

·       O'Boyle, E. H., & Aguinis, H. (2012). The best and the rest: Revisiting the norm of normality of individual performance. Personnel Psychology, 65, 79-119. [available at http://mypage.iu.edu/~haguinis/pubs.html]

The issue of the non-normal distribution of performance has received quite a bit of media attention and the following representative set of materials include a description of implications for practice (testing and assessment but also training and development, compensation, performance management, leadership, and so forth):


·          Click here<http://www.npr.org/2012/05/03/151860154/put-away-the-bell-curve-most-of-us-arent-average> for coverage by National Public Radio's Morning Edition.

·          Click here<http://www.forbes.com/sites/joshbersin/2014/02/19/the-myth-of-the-bell-curve-look-for-the-hyper-performers/> for coverage by Forbes.

·          Click here<http://www.businessweek.com/articles/2014-04-11/yale-has-a-retro-plan-to-push-a-tenth-of-its-mbas-to-the-bottom-of-the-class> for coverage by Businessweek.

·          Click here<http://mypage.iu.edu/%7Ehaguinis/HRMagazine2012.pdf> for coverage by HR Magazine.

I hope this helps. I look forward to reading your end-of-the-year blog entry!

All the best,

--Herman.

Herman Aguinis
John F. Mee Chair of Management
Professor of Organizational Behavior and Human Resources
Founding Director, Institute for Global Organizational Effectiveness

Indiana University
Kelley School of Business
http://mypage.iu.edu/~haguinis/

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On 11/8/2014 1:03 PM, Dennis Doverspike wrote:
Doing my end of the year blog, and by tradition, since it will probably appear in the New Year, I cover what I see as hot future trends.

So -
Any ideas on what might be hot issues and future trends in testing and assessment?
Dennis


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