3 ways of knowing the truth
faith - religious beliefs
consensus - based on what experts say
science
empirical observatoin/data
must be able to see it, measure it, and replicate it
experiential reality (criteria for empirical observation)
personally experienced
agreement reality (criteria for empirical observation)
things are considered to be real because everyone agrees they’re real
science (criteria for empirical observation)
median between experiential and agreement realities
-must be logical
-must be empirical
native human inquiry (criteria for empirical observation)
predicting behavior
causal reasoning
hard sciences; future circumstances are caused by present ones (a causes b)
probabilistic reasoning
effects occur more often, but not always (more likely to happen, not 100%)
sources of secondhand knowledge
tradition - “things that everyone knows”
authority (consensus) - relying on experts
errors in personal inquiry
mistakes made when finding research
inaccurate observatoin
(error) sloppy observers
-solution: make observation a conscious activity
overgeneralization
(error) only making a few observations and assuming all interviewed people represent the whole population
-leads to selective observation: only paying attention to info that supports hypothesis
-solution: predetermine the # of people that you’re going to interview
made up information
(error) making up what you want to hear
-leads to ex post facto hypothesizing: hypothesis isn’t supported
-when research switches hypothesis, it’s okay
-solution: don’t lie
illogical reasoning
(error)
-ex. gambler’s fallacy
ego involvement in understanding
(error) whenever researchers become so involved, that it becomes personal
-solution: replication
premature closure of inquiry
(error) stop researching too soon
-solution: never stop researching
mystification
(error) the belief that we can’t understand everything
-bad because when something is mystified, research stops
foundations of social science
theory - logical aspect of research (what you expect)
research method - observational aspect (what you observe)
stats - compare what you observed with what you expected
social regularity
if there is social regularity, there’s predictability and we can study scientifically
cases against studying society
-triviality: why study information we already know
-exceptions: particular cases are not significant overall
-people interfering with research: compensate for this with large sample size
aggregates
people in the same place at the same time
attributes
a description; the specifics or details (69 years old)
variables
logical groupings of attributes (age)
-independent: has an effect on the dependent variable and manipulated in an experiment
-dependent: affected by the independent variable
positive correlation
variables go in the same direction
negative correlation
variables go in opposite directions
null/spurious
no correlation
reasons to research
to test theories that are already in existence
to explore unstructured interests
applied research: when you gather data for a client
involuntary research: research done under external pressure (class projects)
theory
a very large thing that encompasses a lot of information
hypothesis
a part of a theory that is removed and subjected to measure
operationalization
game plan; how do you plan to test this
*must operationalize variables
deductive logic
system of logic;
-you go from the general to the particular
-you go from theory to observation
-you reason toward observation
-it tests theories
inductive logic
system of logic;
-you go from the particular to the general
-you go from observation to theory
-you reason from observation
-you develop theories
subjectivity
when you allow your personal feelings to get involved
*can’t do
objectivity
you do not allow personal feelings to get involved
*trying to reach
law
all cultures have it
sociology paradigm
structural-functional: society is structured and everything has a function
conflict: Marx; money and power
symbolic interaction: we create reality and reality is created for us
psychology paradigm
psychoanalytic: Freud; you do not have free will, you are controlled by your unconscious
-human nature is bad
behaviorism: you do not have free will, your environment controls you
-human behavior is neutral
humanism: you do have free will
-you’re a good person, and when left alone you’ll do great things
units of analysis
things we study;
individuals
groups - results from individuals averaged together into one measure
organization - businesses
social artifacts - inanimate objects
ways of describing units of analysis
characteristics, orientations, actions
errors in mislabeling units of analysis
ecological fallacy: you say it’s individuals, but it’s actually groups (all you’ve looked at are groups) ex. everyone who wears glasses have a high IQ
reductionism: you limit yourself to only one range of causes
cross-sectional study
you study different groups of people at the same time
-advantages: quick and dirty research
-disadvantages: don’t control for cohort (time period/age) differences
longitudinal study
take place over time
trend study
type of longitudinal study; study changes with a general population over time
cohort study
type of longitudinal study; studies different age groups
panel study
type of longitudinal study; uses the same people over and over again
cross-sequential study
same people at different times
panel attrition
panel and cross sequential studies: subjects become test why’s (same inventory results in participants knowing what the study wants) and people either drop out or die
Kaplan-classes of things that scientists measure: direct observables
things we observe directly
Kaplan-classes of things that scientists measure: indirect observables
a check in a box in a questionnaire (or telling in an interview)
Kaplan-classes of things that scientists measure: constructs
*not on test
reliability
consistency
how to increase reliability with subjects
-ask only what people know
-ask about relevant things
-ask clearly
methods to increase reliability
-test retest method: make same measurement twice
-established measures
-research worker reliability: want your research workers doing the exact same thing
validity
quality of measurement
internal validity
measuring what you want to measure
external validity
how much do your results apply to the outside world