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4 ways of knowing (cs pierce)
Authority - based on science, someone higher up than us (doctors, parents) Intuition - based on guess, gut feeling Tenacity -based on past/habit ("we've always done it this way..") Science - based on series of analyses
Theory
-predicts a phenomenon and suggests explanation -tries to explain why we behave or think the way we do - do not prove, they explain, suggest, and predict
Social science helps us...
-understand causes and effects - predict our futures - or others behaviors
social scientific research
study of social phenomenon -based on logic and observation -goal is to develop theory
5 characteristics of scientific research
1 scientific research is public 2 scientific research is objective 3 scientific research is empirical 4. science is cumulative 5 science is predictive
1. scientific research is public
can be replicated, reproduced -conducted by academics, polling firms -purpose is to understand and often to predict
2. scientific research is objective
-methods increase the odds of doing so - repeat and share methods
3. scientific research is empirical
-observable and potentially measurable now ex) are american citizens happier now than 40 years ago?
4. science is cumulative
-knowledge is built on previous knowledge
5. science is predictive
-propose hypotheses and test them -depending on what we find, can propose more hypotheses
private research
-conducted by corporations, political candidates -purpose is to better market research ex) trident gum, 4/5 dentists recommend chewing gum- not all dentists in study
care about surveys?
- encounter polls everyday - good way to investigate social phenomena: asking questions- direct connection to public - gather descriptive data about people (age, gender) -let us explore relationships between variables ex) positive relationship between excessive tv watching and verbal …
surveys matter?
-polls reflect out current opinions and influence our future attitudes, behaviors and knowledge ex) exit polls
conduct a survey?
1- establish who we will talk to.. need a sample sample vs population
Samples
goal: make inferences to: - larger population - other time periods -other locations/societies
random sampling
-each subject in the pop has an equal chance of being selected into the sample - allows us to estimate where the "real" response would lie if we could survey everyone ex) national election survey
non-random sampling
-not an equal chance of being selected - can't tell how accurate the results are ex) tv call in polls, internet surveys
care about sampling? problem with non-random sampling
- Systematic bias - Surveys that us non-probability sampling are usually NOT scientific - need random sampling to calculate MOE
MOE
- the difference between the sample and actual pop - because we can't survey whole pop, make an estimate - smaller MOE= get a bigger sample
calculate MOE
o Obama (50%)= 47% to 53% o Romney (46%)= 43% to 49% o MOE = +/- 3% o Ranges overlap: Race was too close to call FL a statistical “dead heat” o Large MOE = LOW confidence in results
cross-sectional
occurs at single point in time and involves a single sample
longitudinal
-"long" period of time -samples collected over time - trend study -panel study
trend study
- sampling same pop over time but not same people -different samples (same types of people, same questions, over long period of time) ex) political attitudes
panel study
-studying same group of people every time ex) 7 up study- same kids interviewed every 7 years to see how they've grown up
types of questions to avoid
-double barreled= "do you think cats and dogs should be allowed in class?" -leading question= "like most students do you think.."
experiments
-method designed to test for cause and effect - causality -variable
causality
relationship between 2 variables, such that one influences the existence of, or change of, another
variable
something we can observe that may change (from person to person) ex) tv causes teens to have more sex
3 criteria needed for causality
1. logical association between variables - ex) surveys of adolescents show a relationship between watching sex on tv and having sex 2. constant time order (one always occurs before the other) - ex) start watching tv before start having sex 3. all other variables ruled out - ex) paren…
Treatment vs. Control
o Experimental subjects are randomly assigned to either a treatment or control group - Theoretically, both groups will be “equal” o Control group controls for how people’s attitudes might change merely by participating in the study
correlation
relationship between 2 variables but no way to show cause and effect (education and income)
Statistical significance
-stat result that is unlikely to be due to chance -if a relationship or difference between variables is statistically significant… it’s a real difference (didn’t occur by chance, meaningful)
2 types Content analysis
manifest- what is there? (compliment) latent- whats implied (sarcasm)
Manifest
- material that actually appears -minimum interpretation ex) how do female artists dress in music videos?
latent content
-might become apparent after the coder has interpreted the message "read between the lines" ex) how do female artists represent their culture in music videos?
coder
person who examines the content and classifies it into diff categories
surveys
-shows peoples opinions -make inferences about larger pop based on sample - random v non random -cross sectional v longitudinal -trend vs panel study
experiments
-shows cause and effect - causality v correlation - pre test, post test - need a control group
content analysis
-shows whats in the content - qualitative into quantitive -manifest v latent
all methods have this in common
- must have random sample -equal chance of selection -unintentional biasis
factors leading to social science research
1. industrialization 2. modernization 3. increase in education 4. growing population 5. immigration (italy, ireland)
what led to mass comm theory?
-development of mass society theory -were people all being effected equally? - growing film industry - people will be corrupted by movies - development of statistics - thousands of movies had to be cataloged and analyzed
Payne fund study
-used experimental and interview methods -kids remember 60% of what adults do and 90% of violent content 3 months later - kids believed movie content was real
powerful effects model
With mass society theory, Payne Fund findings reinforced the idea that media have powerful effects on audiences magic bullet theory- compared to shooting a gun, exert powerful effects on audience hypodermic needle theory- inject audience with powerful force media has a powerful effect …
war of the worlds
-orson wells radio show - goal to increase audience base for the mercury theater on the air -innocent radio program causes a national panic -people flee homes and call police
Princeton studies; results
-overall people trusted the radio - didnt believe it could report false info - researchers examined those who panicked 1 less critical ability 2 less self confidence 3 less emotional security 4 strong religious beliefs
Ceiling effect
level of motivation of the soldiers was already as high as it could get, so media did not have an effect
opinion leader
-active media user - held in high esteem by friends/families -considered an expert in a domain
types of effects
Macro vs. micro level effects overall pop vs the individual ex) hispanic women Content specific vs. diffuse general effects watch violent content=become violent, tv causes you to have issues Attitudinal vs. behavioral/cognitive effects affecting attitude? or behavioral change? Alter…
innovation
idea, practice, object, perceived as new by an individual
diffusion
process by which an innovation is communicated through certain channels over time
s-curve
innovation spreads throughout society in a predictable pattern - adoption= y axis - time = x axis -time starts off slowly, not adopted right away, as time goes on huge amount of society adopts
diffusion is influenced by
-when a person learns about the innovation - when the person adopts the innovation - when the person interacts with others in a social network
5 stages of adoption
1. Knowledge 2. Persuasion 3. decision 4. implementation 5. confirmation
1. knowledge
exposed to an innovations existence and start to understand how it functions
persuasion
Form favorable or unfavorable attitude toward the innovation
decision
engage in activities that lead to a choice to adopt or reject innovation
implementation
put it to use!
confirmation
seek enforcement for decision
adopter categories
-classifications of individuals within a social system on the basis of innovativeness 1. innovators 2. early adopters 3. early majority 4. late majority 5 laggards
innovators
ready to try new things communicate across geographical distances multicultural groups ex) steve jobs, bloggers with followers
early adopters
opinion leaders more local/less multicultural very willing to try new things respected in community ex) sally mason
early majority
dont adopt right away like to deliberate before deciding
late majority
skeptical and cautious wait until most people adopted influenced by peer/social pressure ex) farmers
laggards
last to adopt tied to past traditional reluctant to try new things can take so much time that inn becomes outdated ex) old people
implications of diffusion
media messages influence people differently support for limited effects and opinion leadership
mass society theory
media corrupts society
limited effects
still believe today not all effected same way selective exposure
2 step flow chart
mass media to opinion leaders to direct general public
falsifiability
should be possible to specify ahead of time what sort of data would make hypothesis fake
5 characteristics of scientific method
1 public 2 objective 3 empirical 4 systematic and cumulative 5 predictive
4 goals of science
prediction explanation understanding control
prediction
Foretelling the future Science is in continual pursuit of better prediction Accurate prediction: chief goal in media effects
explanation
Knowing why something occurs the way it does Places the phenomenon to be explained into a broader framework or pattern that doesn’t require much addition elaboration
understanding
Relates to knowing the particular sequence of casual events Science is a constant quest for deeper levels of understanding
control
Accurate prediction, explanation, and understanding gives control Sometimes implications for control are controversial

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