social psychology exam 1 Flashcards
Social Psychology
scientific study of the causes
and consequences of
people’s thoughts, feelings,
and actions regarding
themselves and other
people.
How intuitive are our insights
As “intuitive” social psychologists,
our insights are often good, but
sometimes in need of correction.
personality
individual differences
A goal of social psychology
is to identify universal properties of human nature that make
everyone susceptible to social
influences
personality factors
social factors in determining our thoughts, feelings, and actions
1951 Princeton-Dartmouth football game study
We Construct Our Social Reality
Dual processing
-Conscious and deliberate
-Unconscious and automatic
-Our Social Intuitions Are Often
Powerful but Sometimes Perilous
Social Influences that Shape Our
Behavior
-Culture
– Education
– Media
– Peers
hindsight bias
the tendency to exaggerate, after the fact, the extent to which we accurately foresaw a particular outcome
– “I knew it all along.”
Confirmation bias
human tendency to view events and people in ways that fit how we want and expect them to be
-We tend to find evidence that
confirms our expectations
Location
-lab
-field
theory
integrated set of principle/idea that explain and predict observed events
hypothesis
testable proposition/prediction that derives logically from a theory
scientific method
- observe some phenomenon
- formulate hypothesis and predictions
- test through empirical research
- draw conclusions
- evaluate the theory
observe some phenomenon
-curiosity
-variables of interest
-theory
formulate hypotheses
-testable prediction
-derived from theory
test through empirical research
-operational definition of variables (turn abstract concept into something concrete)
-analyze data using statistical procedures
draw conclusions
replication of results- is the effect consistent
evaluate the theory
-peer review and publication
-meta-analysis (technique where results of several studied from different publications are combined statistically to determine overall effect)
-change the theory?
descriptive research
-goal: describe a phenomenon
-observation
-case studies (in depth look at single individual)
-can also include surveys and interviews
-does not answer questions about how and why things are
correlational research
-goal: identify relationships
-correlation coefficient: r
A measure of the linear relationship between two variables
-1.00 ≤ r ≤ 1.00
-strength of relationship: magnitude
-direction of relationship: + / -
-correlation does not equal causation (third variable problem)
positive correlations
-factors vary in same direction
↑ and ↑ … or … ↓ and ↓
negative correlations
-factors vary in opposite direction
↑ and ↓ … or … ↑ and ↓
1.00 (or -1.00)
Perfect relationship; the variables always change together
.76 to .99 (or -.76 to -.99)
Very strong relationship; the variables usually change together
.51 to .75 (or -.51 to -.75)
Strong relationship; the variables frequently change together
26 to .50 (or -.26 to -.50)
Moderate relationship; the variables change together somewhat
.01 to .25 (or -.01 to -.25)
Weak relationship; the variables change together infrequently
.00
No relationship; the variables do not change together
Third Variable Problem
-A third variable may be causing changes in both
-It’s difficult to know if a third variable is exerting influence because it is impractical to measure ALL the possible variables
Cross-sectional
Data collected at the same point in time
Longitudinal
Data is collected at multiple points over time
-allows change to be observed
-can sometimes provide a stronger grounds for inferring causation
experimental research
Goal: Determine causation
-Control extraneous variables, usually through random assignment to conditions
-independent variable (IV): variable that is manipulated
-dependent variable (DV): variable that is measured (after the manipulation)
experimental condition/group
independent variable is manipulated
control condition/group
independent variable is not manipulated (or they receive a neutral version of it)
internal validity
-are dependent variable changes the result of independent variable manipulation
-Can we conclude that the IV has causal influence on the DV?
-Do study design flaws (e.g., a confound: something other than the manipulated IV that systematically varies with it and could be responsible for changes in the DV) raise doubts about conclusions?