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Module 4 discussion
Respond to the following situation:
As mentioned in this module’s AVP, selection systems can
never be 100% valid. Some degree of error in assessment will always enter into
every system. Statisticians distinguish between two types of errors. Alpha or
Type I error (also known as a “false positive”) means making a job offer to
someone whom your selection system tells you will be a great productive
employee, only to find out later that he/she is not what you expected. Call
this “taking some bad with the good.” Beta or Type II error (also known as a
“false negative”) means NOT making a job offer to someone whom your selection
system shows you SHOULDN’T hire, only to find out later that he/she would have
been a great employee. Call this “losing some good with the bad.”
Provide an example of a selection situation where you would
rather make an alpha error and an example of a different situation where you
would rather make a beta error. Elaborate on why you would rather err in these
different ways. What internal and external factors would lead you to be more
willing to lean toward one or the other type of error?
Post an initial response no later than Thursday 11:59 PM
EST/EDT.
Specifically focus your responses to your peers’ initial
postings using the following prompts:
Do you agree or disagree with your peers’ assertions? Why?
What did your peers fail to consider in their posts?
What could you add to strengthen your peers’ points?
Post at least two responses to your classmates no later than
Sunday 11:59 PM EST/EDT.

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