Depression and causal reasoning Flashcards
Uncertainty coefficient
The per cent reduction in uncertainty about whether and/or when a predicted event will occur produced by the occurrence of a predictor event is
a broadly useable measure of contingency or association. (how much do you feel that one stimulus predict the other)
A normative metric for contingency
(normative= what ppl should be doing based on theory, not what they are doing):
Allan (1980) developed a normative metric for contingency:
Δp = P(O|R) - P(O|no R)
Deductive reasoning
Wason (1966) Selection task requires it.
Modus Ponens for picking A [if P then Q]
Modus Tollens for picking 7 [if not Q then not P]
Using logical rules to deduce true, linking premises with conclusions.
Modus Ponens
We can confirm Q by confirming P, as P implies Q;
If we know that P is true, we can conclude Q must be true. This is a valid argument and a rule of inference
Modus Tollens
We can deny P by denying Q, as not-Q implies not-P (denying the consequent).
This is a valid argument and a rule of inference.
If I am the axe murderer, then I can use an axe. (if P then Q)
I cannot use an axe. (Not Q)
Therefore, I am not an axe murderer. (therefore, Not P)
Dependence hypothesis
Checking if q depends on p
Independence hypothesis
Checking if q and p are statistically independent
Information gain model
Assumes that participants are looking for evidence that provides the most discrimination between the dependency hypothesis (that Q depends on P) and the independence hypothesis (that P and Q are statistically independent)
Rarity assumption
That the probability of the antecedent and consequent are small.
- In the world around us, the rarity assumption generally holds true because natural language divides the world up quite finely - very few things belong to any given category.
(Mckenzie & Mikkelsen (2000)) - rarity appears to be the default assumption.
Inter-trial interval (ITI)
Is a time gap programmed in by the experiment, between the trials.
Probability of outcome p(O)
Same as outcome density
Biases in probability estimations
We over-estimate the likelihood of events that have low probability and under-estimate the likelihood of events that have high probability (Lichtenstien et al. 1978)
Outcome density
Means the number of trials on which an outcome occurs = probability of outcome
Depressive realism
The hypothesis developed by Alloy and Abramson 1979 with their finding with difference between D and ND ppts.
They concluded that D ppts are “sader but wiser”
Are ppl irrational? Results of Wason selection taks
Oaksford & Chater (1994) Summarize the results of more than 30 studies from 13 authors:
- 89% choose A
- 25% choose 7
- 62% choose 4
- 16% choose D
=> We could conclude, therefore, that people are irrational!
=> Ppl select 4 b.c. Affirming the consequent: if Q then P (reverse to normal if P then Q) but not all Qs imply Ps