Job Analysis Exercise

The purpose of this exercise is to conduct a job analysis using O*NET.

First, find the job you are analyzing in O*NET's online database. Then complete the O*Net questionnaires, which can be accessed here. (There is no need to complete the Background or Education questionnaires.) Write a paper in which you address the following issues:

• Define person and job oriented job analysis methods and classify the O*NET method, supporting your conclusion.
• What HR purposes could the O*NET data serve?
• How did the ONET questionnaire answers compare to the job description in the O*NET database? Summarize the comparison in a table. (See instructions below.)
• Provide a general evaluation of your experience with O*NET.

To make a comparison of your responses to O*NET data online:

As detailed on the O*NET help page, the scores reported on the detailed and custom reports are standardized from the questionnaire data using the method detailed below. Using 3 dimensions within each questionnaire and either the importance or level scales (you can select which scale is reported in the custom reports), compare your responses to the standardized scores reported in the O*NET database.

From the O*NET Help page:

"The level and importance scales each have a different range of possible scores. Ratings on Level were collected on a 0-7 scale, ratings on Importance were collected on a 1-5 scale, and ratings on Frequency were collected on a 1-4 scale. To make reports generated by O*NET OnLine more intuitively understandable to users, descriptor average ratings were standardized to a scale ranging from 0 to 100. The equation for conversion of original ratings to standardized scores is:

S = ( (O - L) / (H - L) ) * 100

where S is the standardized score, O is the original rating score on one of the three scales, L is the lowest possible score on the rating scale used, and H is the highest possible score on the rating scale used. For example, an original Importance rating score of 3 is converted to a standardized score of 50 (50 = [ [3 - 1] / [5 - 1] ] * 100). For another example, an original Level rating score of 5 is converted to a standardized score of 71 (71 = [ [5 - 0] / [7 - 0] ] * 100)."