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The halo effect refers to the idea that a person or attribute considered highly (or lowly) valued in one aspect becomes highly (or lowly) valued in some other aspect unrelated to the original assessment. Consider, for example, a person who receives a high (or low) evaluation in some domain, such as the ability to shoot a basketball, based on performance. The “halo” of a positive evaluation as a basketball shooter might then be applied to the ability of the person to drive a motorcycle. The evaluator, without any evidence or performance information regarding motorcycle driving, assigns a high (or low) value to that person based on the person’s basketball performance. The justification for the positive (or negative) evaluation of the ability to operate a motorcycle fails to reflect any value other than the positive (or negative) evaluation in the other domain, basketball ability.

The “halo” refers to the aura of perception that the evaluator selectively interprets information so that all actions of the person become interpreted consistent with the original evaluation. A good person can do no wrong or a bad person can do no good. Halo effects serve to some extent as the basis of stereotypes, employ selective perception, and often can be viewed as related to attribution theory.

As a research endeavor, any design or analysis using a rater to make multiple evaluations of the same person may reflect a common set of assumptions or valence. An evaluator or observer may provide a positive evaluation on one element and that evaluation can impact all subsequent assessments. The use of a single person to perform multiple evaluations risks this kind of problem, that is, having one rater provide both sets of evaluations. The solution involves finding a means to generate independent assessments.

One outcome of the halo effect is a higher reliability among assessments of the rater across situations. The impact of the rating issue, when it occurs, has the “positive” consequence of raising cross-situational consistency. However, the appearance of gain across situations becomes illusionary and an outcome of the measurement if a comparison to independent evaluations demonstrates significant departure from the shared assessment.

Ratings by Observers

The most frequent application in research involves observer or participant evaluations that involve multiple aspects or behaviors of a person. The issue of validity, then, involves the ability of the evaluator to make separate, independent judgments, and whether a good (or bad) evaluation made by the rater is used to provide another evaluation that is more positive (or negative) than deserved. Consider the example of an evaluator ranking someone on a series of tasks. If the evaluator decides that the “person can do no wrong” after one set of assessments, then this can create a problem in subsequent considerations. The outcome may generate the perception of a consistent set of evaluations achieved across context or applications, when in fact the original evaluation is biasing the subsequent evaluations (halo effect). Importantly, the existence of a halo effect does not assume conscious bias or an attempt to create consistency on the part of the rater. A rater may be entirely unaware of the consistent evaluation or believe that the similar evaluations are warranted and justified.

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