Question

Statistical Error: Horn/halo effect

Definition: The tendency to allow one's judgement of another person to be unduly influenced by an unfavorable (horns) or favorable (halo) first impression.

What is HR Decision to be made?

Errors typically occur because the data used to make the decision is flawed in some way. What data should be used for this decision?

How would this help avoid the error?

Answer 1

ANSWER::

Description: We allow our (and others) perceptions, opinions and judgments influence our view of individuals in a negative or positive way. Horn effect is when an individual is influenced by a person overall positive thoughts and feels about that individual, whilst the horn effect is a bias which causes a person's thoughts and feelings toward an individual to become substantially influenced by a single negative trait.

Example: An example of the halo effect can be a boss that evaluates their employee very highly because they have a positive impression of their employee. Though they may not deserve the rating or be the best suited employee for the job, their boss has a positive impression of them and rates them based on their perceived impression. An example of the horns effect occurred when I just started my position as HR coordinator. Coming into the organization my manager told me that there was a particular employee that was very mean, and that no one liked her. Before I got a chance to meet her I already knew she was going to be a lot to handle and had a negative impression of her before I could form my own opinion.

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