empirical evidence
info acquired by observation or experimentation.
the scientific attitude (3 parts)
critical thinking
smart thinking. examines assumptions
hindsight bias
“i knew it all along” phenomenon
misunderstanding probability
looking for order and patterns in random data
overconfidence
thinking we know more than we actually do
theory (the scientific method)
explains behavoirs or events by offering ideas that organize observations
hypothesis (the scientific method)
testable predictions. specifies what results support or refute a theory
falsifiability (of a hypothesis)
can it be proven false?
operational definitions (the scientific method)
measurable definitions of research procedures and concepts
replicate (the scientific method)
others can replicate the og observations with different participants, materials and curcumstances
case study strengths
— provides a full picture of what happened and when (chronological data)
— suggests directions for further study
case study weaknesses
— time consuming
— often occurs after the fact (cant predict)
— may not be generalizable to the rest of society (atypical)
naturalistic observation strengths
— authentic data: possibly allows for “real” treatment to result
naturalistic observation weaknesses
— ethics of informed consent
— lack of control: observer doesnt know what they are watching
— results described, not explained
survey strengths
— gather large amts of data quickly and easily
— good way to study sensitive topics
survey weaknesses
— participants can lie/misunderstand questions
— wording effect
— social desirability bias
— self report bias
wording effect
questions worded in a way that affects responses
social desirability bias
answering in a way that will please the researcher
self report bias
people don’t accurately report or remember behaviors
random sampling / random selection (surveys)
picking individuals from the population such that each member has an equal chance of being chosen
convenience sampling
collecting research from a group that is readily available (not necessarily representative)
sampling bias
flawed sampling process that produces an unrepresentative sample (to generalize from a few vivid but unrepresentative cases)
random sample / representative sample
each member of a population has an equal chance of inclusion
— unbiased and representative of the population