Chapter 13-Judgment, Decisions, And Reasoning Pt.1 Flashcards
Decisions
The process of making choices between alternatives
Reasoning
The process of drawing conclusions
Inductive reasoning
Reasoning that is based on observation
Reaching conclusions from evidence
General conclusion based on quality of observation
Strength of argument in inductive reasoning
Representativeness of observations
Number of observations
Quality of observations
Inductive reasoning in scientific discoveries and everyday life
Hypotheses and general conclusions
In everyday life: make a predictions about what will happen based on observation about what has happened in the past
Heuristics
“Rules of thumb” that are likely to provide the correct answer to a problem, but are not foolproof
Availability heuristic
Representativeness heuristic
Availability heuristics
Events more easily remembered are judged as being more probable than those less easily remembered
E.g. Words that begin with r or words where r is third letter
E.g. more likely ways to die
Illusory correlations
Correlation appears to exist, but either does not exist or is much weaker than assumed
Stereotypes
Oversimplified generalizations about a group or class of people often focuses on the negative
Selective attention to the stereotypical behaviours make these behaviours more available
(Type of availability heuristics-they remember this info so they think it’s actually more likely)
Representativeness heuristic
The probability that A is a member of class B can be determined by how well the properties of A resembles properties normally associated with class B
- people use base rate info if it is all that is available
- people will use descriptive info if available and disregard base rate info
Robert example
Bayesian inference
Review this slide
Conjunction rule
Probability of two events cannot be higher than the probability of the single constituents (because event of one single event is more probable than combining events)
E.g. Linda bank teller
Bank tellers that are feminist are a subset of bank tellers
Law of large numbers
The larger the number of individuals randomly drawn from a population, the representative the resulting group will be of the entire population
The confirmation bias
Tendency to conform rather than falsify a hypothesis
The myside bias
Tendency for people to generate and evaluate evidence and test their hypotheses in a way that is biased toward their own opinions and attitudes
E.g. Lord and coworkers had participants in favour of capital punishment and those against it read the same article
Those in favour found the article convincing
Those against found the article unconvincing