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how we know things
experience (experiential knowledge)
we are told (agreement knowledge)
research
systematically taking people’s experiences and looking for patterns
shows relationship between experiential and agreement knowledge
must meet two conditions: logical and empirical
personal human inquiry
humans observing the world questioning what we see, looking for patterns
we subconsciously like predictability
personal human inquiry errors
inaccurate observation
overgeneralization
selective observation
illogical reasoning
ideology and politics
probabilistic
an outcome typically occurs when cause is present, but not always
every relationship is _
inaccurate observation
what we see is mostly casual, not critical
error that is helped by scientists specifying what we’re looking for and how to record it
overgeneralization
seeing a few samples and assuming that is true for whole population
error helped by involving a large, representative sample and replication
selective observation
look for info we already know/believe
error helped by specifying number for observations and random sample
illogical reasoning
jumping to conclusions based on invalid assumptions and lack of evidence
error helped by logical research questions
ideology
politics/religion are lenses through which we see things
error helped by taking care to not allow beliefs to influence research or findings
science
systematic way of looking at the world, using specific methodologies
study purposes
exploration
description
explanation
application
exploration
using research for specific problem we know little about
large, sweeping questions
basic information to inform future research
description
using research for scope of particular problem
expands on exploration, further than preliminary understanding
explanation
using research to understand why something happens (is there a relationship)
application
using research to study outcomes of policy
research process steps
find interest
read
conceptualize
method
operationalize variables
specify population
collect data
analyze data
science
process of finding something out and strategically observing what we see
theory
set of concepts and proposed relationship between them, explaining phenomena
what all research is built around
regularities
theories take observations about the world and find patterns/_
hypothesis
expectation about relationship between two things
derived from theory
yes/no questions
variables
concepts in research question
made of different attributes
carriers are people
attribute
characteristics or qualities of variables (component parts)
idiographic
provide detailed information about one situation (case studies)
nomothetic
provide look at phenomenon as a whole (examine groups)
deductive reasoning
use general theory/pattern and see if it holds up
testing hypothesis
general to specific
inductive reasoning
observe world and try to make sense of it
used when developing theory
specific to general