Attribution Theory

The Attribution Theory tries to explain how humans explain incidents or, how this site puts it, "how they answer questions beginning with 'why?'".

Kelleys covariation-principle (ANOVA-model)
It says that humans make causal explanations by evaluating three kinds of informations. These are:
 * Consensus information - do all or only a few people respond to the stimulus in the same way as the target person?
 * Distinctiveness information - does the target person respond in the same way to other stimuli as well?
 * Consistency information - does the target person always respond in the same way to this stimulus?

Let's say, for example, that Mr. X is afraid of a certain dog and Mr. Y witnesses this incident. Mr. X is the only one who is afraid of that dog, he is only afraid of this dog but isn't always afraid of this dog. Conclusion: Mr. Y will probably assume that the situation (for instance the dog jumping up the unsuspecting Mr. X) is the reason that Mr. Y is afraid.
 * Case 1: The consensus is low, the distinctivness is high and the consistency is low

Everyone is afraid of that dog, Mr. X is only afraid of this dog but isn't always afraid of this dog. Conclusion: Mr. Y will probably assume that the dog (for instance the dog has been turned wild by someone) is the reason that Mr. X is afraid.
 * Case 2: The consensus is high, the distinctivness is high and the consistency is low

Only Mr. X is afraid of that dog, he is afraid of every dog and he is always afraid of this dog. Conclusion: Mr. Y will probably assume that the reason for Mr. X to be afraid is simply that he is frightend by dogs.
 * Case 3: The consensus is low, the distinctivness is low and the consistency is high

Everyone is afraid of this dog, Mr. X is only afraid of this dog and he is always afraid of this dog. Conclusion: Mr. Y will probably assume that the dog (since everyone is afraid of it, it must be a pretty bad dog) is the reason for Mr. X to be afraid.
 * Case 4: The consensus is high, the distinctivness is high and the consistency is high


 * And so forth...

Since nobody knows everything, false attributions are easily made. For instance, if Mr. Y in case 4 above doesn't know that everyone is afraid of this certain dog, he could as well assume, that Mr. X is afraid, because he has had a bad experience with that dog and was bitten by it. Mr. Y would therefore attribute Mr. Y's fear of this dog to Mr. Y instead of to the dog.

Also, humans tend towards to under-emphasize the role and power of situational influences and over-emphasize dispositional factors. For instance, if a soccer player has a scoring chance but slips and doesn't score, a lot of fans attribute this failure to the player and under-emphasize situational factors like a wet and slippery ground and so on (Fundamental attribution error).

Configuration-principle: causal schamata, discounting principle and augmentation principle
As said, the ANOVA-model only works correctly, if every necessary information is at hand. In real life this is seldomly the case, meaning that attributions often must be made upon a single observation. And this can only be done with the assistance of causal schemata. These are opinions, presumptions and theories build on experience about how certain causes interoperate to cause the observed effect. Two examples for causal schemata are the discounting principle and the augmentation principle. The discounting principle says that a cause that can explain a certain effect looses significance if other plausible causes exist. An example would be a pupil that fails a test. While the pupils laziness is a plausible explanation, it looses its significance if one learns that the pupils mother is sick, since this is also a plausible explanation for the pupils failure. The augmentation principle says, that a certain cause can be revalued, if an effect occures despite of difficult circumstances. If for example the pupil does well on the test, even though he was sick, the plausible cause that the pupil studied hard would gain importance.

Weiners motivational attribution theory
Will be supplemented.

Case study
Mr. J. claimed that a "warm form" sexually excites him until he has an orgasm. This experiences were a burden for him and after he revealed them, he was diagnosed as being schizophrenic, was institutionalized and treated with Thorazin, a antipsychotic drug. Even though his psychiatrists were convinced that he was mentally ill, careful observations showed, that Mr. J. in fact unintentionally stimulated himself by moving his legs. After he was taught to correctly attribute his excitement to his leg-movement, his "delusions" disappeared and they didn't reappear for at least the following six months of observation.

The leg-movement was shown to him as a plausible alternative cause and, as the discounting principle would predict, he didn't believe in his originally assumed cause as strong as before.

learned helplessness
Will be supplemented.

Fun facts
An example given to a friend of mine who studies psychology: if you are on your first date with someone, you should do something that's a bit exciting. Chances are good, that your "partner-to-be" will attribute his/her pounding heart internally and then think, that it is pounding because he/she is in love with you. But if your meeting is too exciting, your "partner-to-be" will probably attribute his/her excitement externally (that is: to the situation) and the trick won't work. Applied psychology. ;-)