Unit 1

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Last updated 12:06 AM on 8/21/26
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39 Terms

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social psychology

the scientific study of social affect, behaviors & cognitions

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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)


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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


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leon festinger

established theory of cognitive dissonance

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B = f(P,E)

kurt lewin equation

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lewin’s equation

B = behavior

f = function

P = person

E = environment

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field theory of learning / force field analysis

  • developed by kurt lewin

  • demonstrates the forces driving and resisting certain behaviors, actions, etc


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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


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modern social psychology

  • cognitive revolution

  • field grows with new topics

  • new methods for better/more interesting science

  • replication crisis 2011


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parts of a paper

  1. introduction- questions, hypotheses

  2. method

  3. results

  4. discussion- implications, limitations/future directions

  • mirrors scientific method


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abstract

short summary (150-250) of research question, method, results and conclusion

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intorduction

  • research question

  • reviews relevant research (citations)

  • broad → narrow

  • specific hypothesis


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method

  • how was study designed to test hypothesis?

    • participants

    • procedures

    • materials


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results

  • statistical analyses used to test

  • results of test

  • graphs, figures, tables


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diuscussion

  • what results mean and why they matter

  • identifies limitations

  • highlights areas of possible expansion

  • conclusion


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observational research design

snapshot of current state of affairs

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advantages of observational research

  • relatively complete picture

  • allows development of questions for further study


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disadvantages of observational research

  • does not asses relationships between variables


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correlational research design

assess the relationships between 2+ variables

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advantages of correlational research

  • allows testing of expected relationships

  • allows predictions

  • can assess relationships in everyday life


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disadvantages of correlational research

  • cannot be used to draw inferences about causal relationship between variables

  • correlation equates causation


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experimental research design

assess causal impact of 1+ experimental manipulations

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advantages of experimental research design

  • drawing of conclusions on causal relationships


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disadvantages of experimental research

  • cannot manipulate many variables

  • expensive and timely


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mediator varaible

explains how or why one variable impacts another

  • X → variable → Y


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moderating varaible

changes strength or direction of relationship between two variables

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operationalizing variables

what is being measured and how?

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construct validity

the extent to which an operationalization accurately captures a variable of interest

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external validity

the extent to which the results of a study generalize to the population of interest

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internal validity

the extent to which the study design permits the drawing of a causal claim

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reliability

the extent to which a measure produces consistent results (denoted cronbach’s alpha- a)

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measure central tendency

mean, median, mode

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measure variability

range, standard deviation

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correlation

tests whether there is a relationship between 2+ variables (pearson’s r)

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t-test

tests whether there is a difference between 2 groups (cohen’s d)

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ANOVA

tests whether there is a difference between 3+ groups (n2)

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regression

testes multiple predictors influence on outcome variable (R2)

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correlation effect sizes

  • range 1 to -1

  • sign → + or -

  • number → strength

small: 0.1, medium: 0.3, large: 0.5


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t-test effect sizes