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Expectancy Chart Interpretation and Use: Effects of Presentation Format
Yankelevich, Maya

2007, Master of Arts (MA), Bowling Green State University, Psychology/Industrial-Organizational.
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.
Scott Highhouse (Advisor)
65 p.

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Yankelevich, M. (2007). Expectancy Chart Interpretation and Use: Effects of Presentation Format. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Yankelevich, Maya. "Expectancy Chart Interpretation and Use: Effects of Presentation Format." Electronic Thesis or Dissertation. Bowling Green State University, 2007. OhioLINK Electronic Theses and Dissertations Center. 29 Mar 2015.

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Yankelevich, Maya "Expectancy Chart Interpretation and Use: Effects of Presentation Format." Electronic Thesis or Dissertation. Bowling Green State University, 2007. https://etd.ohiolink.edu/

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