F.A.E - The Fundamental Attribution Error
In
rating people we have a propensity to commit the 'fundamental
attribution error'
which is where we
overvalue
the effect of human agency, and underestimate the effect of the
present situation in explaining behaviour (Butt, 2004).
To illustrate, when we have to slam on the breaks because of
someone's driving, we may well blame the poor skill and idiotic
driving of another.
However, we might be overlooking the fact that
they are lost and are unsure of where they are going, and had a
moment of panic. In this sense, we are biased towards prioritising
human agency, and underestimate the degree to which a situation
determines behaviour.
If
we apply this to Eysenck, he assumed widespread use of words by the general population pointed to the underlying objectivity of traits. Whilst we
need not deny there are stable patterns in peoples behaviour,
Eysenck's research was situated within this folk psychology paradigm
and any results he derived were simply reinforcing his theories about
the existence of traits, without an attempt to test the validity of
them.
In this sense, his entire research project begged the question,
since he simply assumed that our categorisations pointed to real
enduring qualities. In any case, any results he derived were simply a
collection of people committing the fundamental attribution error,
and this undermines his claim to objective validity.
The fundamental attribution error demonstrates our propensity to conform to the general populations assumptions about traits in everyday discourse, and assume these shape our agency. However, what we find is that Eyesenck simply reinforced these assumptions, by getting people to take part in his research program and not, even undertaking an independent verification of the existence of such traits. Moreover, his statistical measurement technology was flawed and we see that the case for objectivity here is very flimsy.
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This problem arises because Eyesenck simply drew a pattern from
statistical inference of observations as justification for his
theory. As Richards (2002) points out, the very psychometric survey
measurements that we undertake can cause reification; where we
falsely grant objective reality to the thing being measured.
To
give an example, we could design a religious survey in 1700 say, that
tried to measure devoutness to Christianity. We could make statements
such as "Homosexuality is a sin and punishable by death",
or "Witchcraft is rife in this village".
We could collate a
number of psychometric surveys and provide statistically derived
empirical results. However, from these results all we have achieved
is measuring a bunch of worthless religious assumptions.
We have not
proved that these assumptions are true, we have merely taken for
granted their truth and produced a load of mathematical workings out
to support our folly.
Furthermore, these questions may have seemed
valid in 1700 but were we to try and ask them now, they would sound
quite ridiculous to any Christian. In this case, if we have
supposedly measured devoutness to religion and the statements are
irrelevant now, we can ask what exactly would we have measured back
then?
The simple answer is that we have reified the concept
devoutness to religion and
would have been engaged in sophistry.
What
this tells us is that any psychometric studies are based on
assumptions, and they produce a load of clever sounding mathematics
that purport to back up these assumptions. All this is done without
ever actually backing up these assumptions with evidence.
What we
really find is that this methodology is utterly worthless as a
measure of truth, and in fact, this has been utilised as a tool by
those of lowly scruples, to engage in the most wretched acts of deceit.
It
should be of little surprise that this is the tool of choice for
charlatans in marketing, studies of 'public opinion', and your impotent government.
This
dangerous tool has been used to subvert the need to make claims based
on evidence, and you should be suspicious of any statistical
manipulations that are thrown at you.
However, we can
forgive Eyesenck as these facts were not known at the time, and he
genuinely believed he was advancing science. It should be clear to
you now though, that this questionnaire style methodology is fundamentally flawed and is
still abused to this day by those who engage in the art of
statistical manipulation.
Mischel's Criticisms
To
cast further doubt on Eyesenck's research, Mischel (1968) started to
assess the evidence for trait theories and found the key assumption
that Eysenck had made was incorrect. It should be starting to become
clear that Eyesenck had simply assumed stable personalities were
based on a structural arrangement of traits.
What Mischel discovered
was that this assumption is not justified. Mischel cited extensive
evidence that suggested the attributing of traits reflected the
prejudice of the person doing the attributing, who had to draw on a
culturally shared trait theory to frame their observations. Given
that we use trait theory in everyday parlance, any observation is
necessarily going to be couched in terms of traits. However, this
does not necessarily mean our cultural categorisations are pointing
to anything concrete.
Mischel
cited a study that used Eyesenck's methodology of rating people from
behind a screen, and using a psychometric survey to measure the
responses. However, this time they observed strangers briefly in one
condition, and in another observed people whom they knew personally.
This study yielded a striking finding that went right to the heart of
this kind of objective methodology. It was found that those doing the
rating,
produced the same stable trait structure in strangers that they
observed very briefly, as in those that they knew well
(Butt, 2012).
This showed that under controlled conditions, subjects
were prejudicial in their attribution of personality
traits to strangers, and were willing to attribute them on very
little evidence. It also showed that these attributions were based on
the way they personally attributed traits to those they knew well
(Butt, 2004).
This
clearly demonstrated the error on which personality research was
based. It
is only natural, given the knowledge was situated in a paradigm that
accepted folk psychological doctrine, that through seeing statistical
patterns, practitioners could devise psychological categories for
people in order to determine treatments.
This kind of categorisation
is now widely acknowledged to be unreliable and PCT actually denies
this is useful, since it aims to understand the individual and
acknowledges there are many individual differences, rather than
narrow categorical dimensions.
Interestingly,
PCT would embrace this subjective aspect of a person doing the
personality construction, because when listening to how they
construct someone's personality we can uncover some of the meanings
this process has for them, and how they perceive the world.
To this
extent as a phenomenological exercise we can discover how people form
their constructions, and perhaps some of the assumptions participants make. However, this endeavour fits in to the field of social psychology, and we would be moving beyond the scope of this essay.
Conclusion here
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