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social psychology
the scientific study of social affect, behaviors & cognitions
early social psychology
1st experiment- norman triplett 1898
1st textbook- william mcdougall 1908
textbook shows experimental focus and importance of empirical research (floyd allport 1924)
classical era of social psychology (1930s-60s)
kurt lewin establishes importance of person environment interaction
world wars inspire conformity and obedience research- Sherif, Asch, Milgram
leon festinger
established theory of cognitive dissonance
B = f(P,E)
kurt lewin equation
lewin’s equation
B = behavior
f = function
P = person
E = environment
field theory of learning / force field analysis
developed by kurt lewin
demonstrates the forces driving and resisting certain behaviors, actions, etc
stanley milgram experiment
obedience study
to what extent will people obey an authority figure who gives orders that go against their personal conscious and cause har to an innocent person?
65% of people were willing to give lethal shock to stranger
modern social psychology
cognitive revolution
field grows with new topics
new methods for better/more interesting science
replication crisis 2011
parts of a paper
introduction- questions, hypotheses
method
results
discussion- implications, limitations/future directions
mirrors scientific method
abstract
short summary (150-250) of research question, method, results and conclusion
intorduction
research question
reviews relevant research (citations)
broad → narrow
specific hypothesis
method
how was study designed to test hypothesis?
participants
procedures
materials
results
statistical analyses used to test
results of test
graphs, figures, tables
diuscussion
what results mean and why they matter
identifies limitations
highlights areas of possible expansion
conclusion
observational research design
snapshot of current state of affairs
advantages of observational research
relatively complete picture
allows development of questions for further study
disadvantages of observational research
does not asses relationships between variables
correlational research design
assess the relationships between 2+ variables
advantages of correlational research
allows testing of expected relationships
allows predictions
can assess relationships in everyday life
disadvantages of correlational research
cannot be used to draw inferences about causal relationship between variables
correlation equates causation
experimental research design
assess causal impact of 1+ experimental manipulations
advantages of experimental research design
drawing of conclusions on causal relationships
disadvantages of experimental research
cannot manipulate many variables
expensive and timely
mediator varaible
explains how or why one variable impacts another
X → variable → Y
moderating varaible
changes strength or direction of relationship between two variables
operationalizing variables
what is being measured and how?
construct validity
the extent to which an operationalization accurately captures a variable of interest
external validity
the extent to which the results of a study generalize to the population of interest
internal validity
the extent to which the study design permits the drawing of a causal claim
reliability
the extent to which a measure produces consistent results (denoted cronbach’s alpha- a)
measure central tendency
mean, median, mode
measure variability
range, standard deviation
correlation
tests whether there is a relationship between 2+ variables (pearson’s r)
t-test
tests whether there is a difference between 2 groups (cohen’s d)
ANOVA
tests whether there is a difference between 3+ groups (n2)
regression
testes multiple predictors influence on outcome variable (R2)
correlation effect sizes
range 1 to -1
sign → + or -
number → strength
small: 0.1, medium: 0.3, large: 0.5
t-test effect sizes