Examining Others in Depth: The Role of Distinctiveness, Consensus, and Consistency in Attribution
According to an influential paper by Harold H. Kelley (1967), people tend to attribute causes by using logic that resembles how social scientists test their hypotheses. They analyze the variance of presumed causes and effects in a manner corresponding to the basic logic used in statistical analysis. (to be continued...)
A friend of ours was picking up his son, Billy, from nursery
school. As he walked in, he saw Billy run over to a little girl and hit her so
hard that she fell down. The teacher, nothing the father’s shocked expression,
explained, “Oh, Mr. Smith, it is not just Billy. Everybody always seems to be
hitting Mary.” Our friend, although still troubled about Mary, was at last
relieved to have some of the onus removed from Billy. Consider some other
possible explanations the teacher might have offered:
“I
don’t know what has been getting into the children today. They are usually
quite nice, but today they have all
been fighting with one another.”
“I can
understood your concern, Mr. Smith. All the children tend to play well
together, but Billy has been fighting with the others for some time now.”
The
point is, of course, that Mr. Smith, as a concerned father, would like to
believe that his son is not hostile
or cruel, but if he is, then Mr.
Smith certainly wants to know about it. Having seen Billy do something upsetting,
he is exploring to know what extent he should attribute the cause to Billy—a
dispositional attribution—or the situation.
According
to an influential paper by Harold H. Kelley (1967), people tend to attribute
causes by using logic that resembles how social scientists test their
hypotheses. They analyze the variance of presumed causes and effects in a
manner corresponding to the basic logic used in statistical analysis. Thus
Kelley’s model is often referred to as the “analysis of variance” or “ANOVA” model
of attribution theory. We can consider most events as comprising three
variables: (a) People act on (b) entities, tasks or targets, that may be
objects or other people, at particular (c) situations
or times. In the nursery-school example, (a) Billy hit (b) Mary (c) today in
the play area at school. Billy and the other children are the actors (Mary
could for some purposes be considered an actor). Mary is the target. The third
variable may be representated as “today” (or any other day) or the playground where
Billy hit Mary. More generally, various children (actors) could engage in the
behavior, at various times and locations, and any number of children could be
targets.
To
assume that the behavior comes out of characteristics internal to Billy, that
is, to make a dispositional attribution, we must consider three factors:
1.
Distinctiveness
tells us whether and to what extent someone responds differently to a given
target from how the person ordinarily responds. If Billy only hits Mary and not
others, then perhaps Mary instigates him. If Billy only hits Mary, the
distinctiveness of the act is high. Hitting people is “unlike Billy,” and we
conclude that a dispositional attribution is not accurate. Thus to attribute
the act to Billy, the disctinctiveness
of the act for him must be low.
2.
Consensus tells
us the extent to which others respond similarly to the target. If everybody
else at nursery school is hitting Mary, then Mr. Smith might again reasonably
assume that an attribution to Billy’s disposition is unjustified. If Billy were
the only one hitting Mary, if a dispositional attribution were justified, then
consensus would be low. Thus to attribute the act to Billy’s disposition, consensus with regard to the act must be
low.
3.
Consistency
tells us the extent to which the actor responds similarly toward different
targets at various times. To make an internal attribution toward the actor,
consistency should be high.
Otherwise, his behavior might be considered a temporary reaction.
The explanation offered by the
teacher (“Everybody always seems to be hitting Mary all of the time.”) seems to
blame Mary for the act. In such a case, Mr. Smith, if he is a caring person,
might be relieved that Billy is not to blame, but might wonder what it is that
Mary does. Perhaps she teases or goads the others.
We have been elaborating on
relatively simple relationships among the three variables in the Kelley ANOVA
model, but it is also allows for the analysis of more complex relationships,
including the effects of interaction. We could use it to analyze, “Billy seems
to fight with everyone during naptime; Sally seems to fight on the playground”
or “Billy hits Mary just before naptime; Mary fights with Charlie every day on
the playground.”
In one
of the more important experimental tests of Kelley’s framework, Leslie McArthur
(1972) provided participants with brief descriptions of another person’s
response (for example, “John laughs at the comedian”) along with information
regarding consensus (whether others laugh at the comedian), consistency
(whether John has laughed at the comedian in the past), and distinctiveness
(whether John laughs at other comedians as well). Consistent with Kelley’s
framework, McArthur found that behavioral information high in consensus,
consistency, and distinctiveness tended to generate external attributions
(“Something about the comedian that made John laugh”). On the other hand,
information that was low in consensus, high in consistency, and low in
distinctiveness generated more internal attributions (“Something about John
made him laugh at the comedian”). Kelley’s theory has been supported by other
researchers as well (Ruble and Feldman, 1976; Frieze and Weiner, 1971;
Zuckermann, 1978; Hansen and Donoghue, 1977; Ross, Greene, and House, 1977;
Gilmore and Minton, 1974; Karaz and Perlman 1975), although some work (e.g.,
Nisbett and Borgida, 1975) has indicated that of the three sources of
information, consensus probably is less important in determining attributions
than the other two.
(Source: Raven, Bertram H., Rubin, Jeffrey Z. 1983. SOCIAL PSYCHOLOGY 2nd Edition. United States of America: John Wiley & Sons, Inc.)
× 『rui@96yR』【butterflyuu】 ×
Komentar
Posting Komentar