1/27
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Social psychology
How people think, influence, and relate to one another (TIR)
Kurt Lewin
Behavior = f(Person x Social Situation)
Main areas of social psych
Social cognition (thinking)
Social influence
Social relation
Social cognition
The self
Social beliefs & judgments
Attitudes/behaviors
Social influence
Conformity and obedience
Persuasion
Group processes
Social relations
Stereotypes
Prejudice
Discrimination
Attraction
Altruism
Attributions
Explanations for the causes of behavior (e.g. why ppl are overweight)
External validity
How well the results can be generalized to real-world settings
Internal validity
How certain X causes Y (cause and effect); how much can we trust the results
Descriptive methods
Naturalistic observation/observational research, survey research
Higher in external validity, lower in internal validity
Experimental methods
Lab and field experiments
May lack mundane realism: how well it replicates everyday life (e.g. shocking ppl → not realistic)
Experimental/psychological realism: how real the experiment feels to participants
r
Correlation coefficient used for linear relationships (-1 to 1)
Random assignment
Internal validity
Random sampling
Generalizability
Research in the real world
Research in the real world:
Be a critical consumer of research → ask questions!
Research design (issue of causality), who and how sampled (generalizability), operationalization (validity of results)?
Ex. “BU Study Finds Plus Size Models Rising Presence on Social Media”
A BU study examined IG activity among mainstream and plus-size models; main finding was that plus-size models had engagement comparable to mainstream models
When headlines go beyond data → the following was included in the press release: “Plastic surgeons may see an increased interest in procedures, including breast and buttock augmentation, that embrace a curvaceous plus size body type…” said Professor Vashi of BU
Soon after, this headline appeared → “Plus size models are driving a new plastic surgery trend: study”
HUGE distortion; not what study examined
Operationalization
Measurement tool(s) in an experiment (e.g. scale that shows how satisfied someone is w/ their weight)
Look at previous studies to see their operationalizations (used before = most likely higher validity)
Replication crisis (aka reproducibility/replicability crisis)
Growing belief that the results of many scientific studies cannot be reproduced and thus might be misleading
Older popular studies → can’t always replicate OR effects aren’t as strong
Why is replication important for science? → can’t build on past research
Evidence for the replication crisis
The Open Science Collaboration
The Famous Marshmallow Test
The Open Science Collaboration (2015; Brian Nosek)
Attempted to directly replicate 100 studies from several top-ranked journals w/ “high validity”
Replication rate was low (~36% of studies), and effects were even smaller
Even within the 36% replication success, effects were smaller than OG experiment
The Famous Marshmallow Test
Original study → children who delayed gratification (defined by not eating a marshmallow to get a larger reward later) = better success, mental health, and physical health
Highly publicized, featured in textbooks, etc.
Replication only found a correlation ½ as strong
Relationship was substantially reduced after controlling for family background, early cognitive ability, and home environment
The replication had a stronger study design → sample 10x larger than OG, more socioeconomically diverse (OG study sample was mostly rich and white)
Some argue the data can be interpreted in different ways
Public costs of replication crisis
Strong, confirmatory studies when they might not be
When research claims to have strong effects but they’re not real at all, public trust → undermined
Bad b/c a lot of ppl already don’t trust science (e.g. vaccines)
Scientific costs of replication crisis
If scientists are basing off their research on studies that aren’t strong/real, the next set of studies will be faulty
How researchers are addressing the replication crisis
Greater transparency practices (e.g. planning to publish study in a journal → must pre-register)
Improved methodology
Large enough sample size
More independent replications
Harking
Hypothesizing after results are known → not a good practice
Study findings often seem like common sense, but:
Before seeing the results, people predict research results no better than chance
Many beliefs that ‘seem’ correct are unsupported
E.g. children learn best when teaching style is matched w/ learning style → actually NOT true
Hindsight bias
Something seems obvious after it occurs
Often makes it feel like the results were predictable or obvious
“But I know someone who…”
Individual exceptions do not disprove overall patterns
Patterns = average performance across groups
3 questions we’ll answer this semester:
3 questions we’ll answer this semester:
How does scientific truth and knowledge evolve?
Why do we think, feel, and behave the way we do?
To what extent is behavior shaped by who we are versus the situations we are in (person vs. situation debate)?
People underestimate the power of situations on behavior