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Degree

Master of Arts (MA), Bowling Green State University, Psychology/Industrial-Organizational, 2007.

Abstract

Good staffing decisions require an understanding of statistical information, which can be particularly difficult for decision makers who lack a background in statistics. Although seldom used, expectancy charts are designed to be simple decision aids. The study examined whether expectancy data presented at the organizational level (e.g. 75 out of 100 individuals will be successful) is perceived to be more useful and easier to understand than data presented at the individual level (75 out of 100 chance that a person will be successful). This study also examined whether expectancy charts presented in terms of natural frequencies (e.g. 7 out of 10) were found to be more useful and easier to understand than expectancy charts presented in terms of probabilities (e.g. 75% chance). Finally, this study examined the setting of cut-off score and the role of numerical ability in the interpretation of expectancy charts.

Subject Headings

Psychology, Industrial

Keywords

Expectancy charts; numerical format; selection decisions

Advisor

Scott Highhouse

Pages

65p.

Document number: bgsu1194287002
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1194287002

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