Judgement, Decisions, and Reasoning Flashcards
Evaluations about various things/dimensions
judgements
making choices between alternatives
decisions
the process of drawing conclusions that go beyond the available information
reasoning
drawing general conclusions based on SPECIFIC observations and EVIDENCE
- reasoning going from specific -> general
inductive reasoning
Assuming that, if the 40 people in my experiment reacted to my manipulation by screaming, the general population will probably react this way too. This is an example of:
inductive reasoning
conclusions that are non-definitive in nature
probabilistic
reasoning that goes from general concept to specific -> most people like cookies so I’ll assume you do too…
deductive logic
Conclusions relying on deductive logic
syllogisms (so cute)
Elaborative processing in which you go from specific to general examples could be considered
induction
if I’ve come to the conclusion that my friend is going through something due to their change in behaviour and ever growing eye bags under their eyes, did I use inductive reasoning or deductive logic?
If I give my girl piano students more frozen stickers than Minecraft stickers because I think girls like Disney princesses more, is that inductive reasoning or deductive logic and why? (okay now maybe I did make this mistake irl but who am I kidding I also love Minecraft so idk what I was thinking look at me pushing gender norms and shit NO MORE. No more. Thank God Ivy likes Minecraft.)
friends eye bags big, negative change in behaviour -> specific
they’re going through something -> general
Specific -> general = Inductive reasoning
I think girls generally like Disney princesses -> general
I offer my girl piano students Frozen stickers -> specific
General -> specific = deductive
Strength of an INDUCTIVE (specific -> general) reasoning argument can depend on 3 factors:
- Representativeness of the observations (too specific?)
- Number of Observations
- Quality of Observations (validity, reliability)
- basically validity, reliability, accuracy, and sample size
making a conclusion from the many results and aspects of an experiment would be _________ reasoning
inductive
Predetermined decision making strategies that allow choices to be made more quickly/efficiently
- mental shortcuts to make decisions
- “rules of thumb”
heuristics
events more easily remembered or salient or brought to mind are judged as being more probable/happening more frequently than those less easily remembered
availability heuristic
- eg: we’re more scared of plane crashes and we assume they happen more frequently than we are of car crashes usually even though car crashes statistically happen more frequently because plane crashes usually get on the news but since car crashes are so frequent they’re less covered
correlation appears to exist but it’s actually not correlated in either direction or the correlation is much weaker than assumed
illusory correlations
eg: during summer, ice cream sales up and murder is up, so ice cream sales must cause murder…
ILLUSORY CORRELATION!!!! WRONG!!!
- murders go up when ice cream sales go up during summer because heat causes aggression, and people buy more ice cream when it’s hot out
illusory correlations can lead to ________
stereotypes
__________ (2) can lead to stereotypes
illusory correlations
Oversimplified generalizations about a group or class of people that often focuses on the negative
stereotypes
the probability that A is a member of class B can be determined by how often the properties of A has properties normally associated with class B
- A is a member of class B if A has characteristics commonly associated with class B; not always accurate lol…
- eg: “everyone with tattoos is a gangster”
representative heuristic
representative heuristics, in which we assume someone is part of a group because they have characteristics commonly associated with members of that group, are largely based on ________.
stereotypes
disregarding base rate information or the actual statistics can lead to making errors related to the ______________ (2)
representative heuristic
probability of two events cannot be higher than the combined probability of the single constituents
conjunction rule
- eg: you have cat owners, and you have cat owners that own Norwegian Forest Cats; the latter is WITHIN the group of cat owners so the latter is one of the groups that adds up to the whole of cat owners - circle in head has to equal 100% I think
people tend to prefer ________ information over ________ information
descriptive information over base-rate information
more general STATISTICAL information
base-rate information
more specific event and detail based information
descriptive information
the larger the random sample size, the more representative the group will be of the whole population; small samples NOT as representative as large ones
Law of Large Numbers
(what a creative name…)
Tendency for people to generate and evaluate evidence and test their hypotheses in a way that is biased toward their own opinions and attitudes: (3)
the myside bias
(more lab setting)
Tendency to selectively look for information that conforms to our hypothesis/preconceived notions and overlook information that argues against it
confirmation bias
situations in which arguments raised that contradict a viewpoint held by an individual result in them feeling even more confident in their original position
Eg: listening to arguments for why high taxes are good might make someone already opposing high taxes EVEN MORE resistant to the idea
- listening to arguments for why studying helps you might make a procrastinator even MORE likely to procrastinate cause idk hearing about how studying is good might make them feel bad about all the time they wasted and you get the point
the backfire effect
When an argument that was supposed to make you think one thing, but makes the other person who thinks the opposite even more firm in their original position. This is known as the: (2)
backfire effect