Social Psych Exam #1

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Last updated 9:46 PM on 9/26/26
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28 Terms

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Social psychology

How people think, influence, and relate to one another (TIR)

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Kurt Lewin

Behavior = f(Person x Social Situation)

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Main areas of social psych

  1. Social cognition (thinking)

  2. Social influence

  3. Social relation


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Social cognition

  • The self

  • Social beliefs & judgments

  • Attitudes/behaviors


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Social influence

  • Conformity and obedience

  • Persuasion

  • Group processes


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Social relations

  • Stereotypes

  • Prejudice

  • Discrimination

  • Attraction

  • Altruism


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Attributions

Explanations for the causes of behavior (e.g. why ppl are overweight)

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External validity

How well the results can be generalized to real-world settings

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Internal validity

How certain X causes Y (cause and effect); how much can we trust the results

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Descriptive methods

  • Naturalistic observation/observational research, survey research

  • Higher in external validity, lower in internal validity


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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


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r

  • Correlation coefficient used for linear relationships (-1 to 1)


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Random assignment

  • Internal validity


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Random sampling

  • Generalizability


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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


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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) 


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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


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Evidence for the replication crisis

  1. The Open Science Collaboration

  2. The Famous Marshmallow Test


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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


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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


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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) 


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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 


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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


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Harking

  • Hypothesizing after results are known → not a good practice


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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


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Hindsight bias

  • Something seems obvious after it occurs

    • Often makes it feel like the results were predictable or obvious


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“But I know someone who…”

  • Individual exceptions do not disprove overall patterns

  • Patterns = average performance across groups


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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