The Science of Social Psychology Flashcards

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1
Q

what is social psychology

A

the scientific study of feelings, thoughts and behaviours of individuals in social situations

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2
Q

types of questions social psychologists ask

A
  • why do people risk their lives to save others
  • why do people stereotype members of different groups
  • what type of marriages last
  • how do crowds turn into violent mobs
  • why do fashions come and go
  • how does the way we present ourselves on social media differ from reality
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3
Q

necessity of good research

A

often our subjective impressions are wrong
(examples of bad research)
- prefrontal lobotomy: surgery that removes part of the brain to help with mental health, lead to people going brain dead
- facilitated communication: help autistic children communicate with physical instruments, research faulty due to research unintentionally giving cues and guiding child what to do

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4
Q

become a good consumer of research

A
  • research methods are important are important even if you don’t conduct research
  • allows you to evaluate research using critical thinking
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5
Q

how can research methods impact you every day

A
  • research assists with critical evaluation of information
  • avoids bias
  • can help you make informed decisions (ex. making a purchase, most people are terrible at estimating when something is of good value)
  • estimates based on other cues which may be purposefully misleading (ex. advertisements for temporary price cuts create a false sense of urgency and value for consumers
  • estimated odds of contracting influenza by Canadians in 2009 (during H1N1 pandemic)
    (watched new program: 3/5)
    (heard very little: 1/50)
    (actual odds by Public Health Agency: 3/10)
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6
Q

how do social psychologists find the truth

A
  • like detectives, social psychologists gather evidence to answer a question
  • good detectives want to collect as much evidence as possible
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7
Q

types of research

A

basic: increase knowledge - explain how things work (starting point)
- applied: apply what you know to solve a problem - create a solution/strategy
- one is not better than the other, each have different goals

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8
Q

steps in the research process

A

step 1: craft a research question
- firsthand observations, news stories, etc
step 2: examine existing literature for answers
- background information on a topic
-theory, a general framework that allows us to make and test predictions
step 3: form a testable hypothesis
- an hypothesis is an educated guess about the answer to your question
- an operational definition identifies the specific variable to be examined (you have to define your variables)
- take care of validity and reliability in your study
step 4: select the best method to explore your research question
- choosing the sample
step 5: analysis of research
- note limitations and areas where further research may be necessary
step 6: replication
- repeating research to verify findings
{these are the primary steps in the scientific method}
{if these steps are followed, then the findings can be useful}
{if these steps are ignored, the findings may be of little or not value}

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9
Q

defining and measuring variables

A

variable: any characteristics that can vary
- eg. stress, weight, reaction time, sadness
operational definition: defines variables in terms of concrete, specific procedures used to produce or measure it
- eg. number of times you cry per day

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10
Q

descriptive statistics

A
  • describing whats going on
  • what is the current status of a population
  • what us the current status of a phenomenon
  • who, what, where, when, and how
  • involves a range of methods:
    1. self report measures and surveys
    2. observational research (problem: bias)
    3. field, archival, case studies
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11
Q

self report and survey measures

A
  • asking participants to describe their behaviours or mental statuses
  • typically conducted in the form of interviews or questionnaires
  • may not be appropriate for studying behaviours that people tend to lie about
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12
Q

observational research

A
  • can occur in a natural setting or controlled environment
  • naturalistic observation
    (watching behaviour in a real world setting)
    (focuses on both people and environments)
  • ex. Sandford prison study
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13
Q

field, archival, case studies

A

field studies:
- data collected in a naturally occurring (ie, uncontrolled) settings
- can be descriptive or experimental
- capitalize on naturally occurring events that cant be replicated in labs
archival studies:
- gathering information from existing records
case studies:
- in depth analysis of an individual group, or event

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14
Q

correlations

A
  • exploring the relationship between 2 variables without inferring cause and effect
  • answers questions such as:
    1. is X associated with Y
    2. does X predict Y
    3. as X increases what happens to Y
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15
Q

correlational research design

A
  • measure one variable (X)
  • measure second variable (Y)
  • statistically determine if X and Y are related
  • correlations mathematically described by correlation coefficient
    (ranges from -1.0 - +1.0)
    (the closer to -1: strong negative correlation)
    (the closer to 0: weak or nor correlation)
    (the closer to +1: strong positive correlation)
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16
Q

what do correlations tell us about relationships

A

positive correlation
- as one variable goes up, so does the other
- eg. number of compliments increases, so does self esteem
negative correlation
- as one variable goes up, the other goes down
- eg. people in grumpier mood are less likely to help someone else
no correlation
- no discernible relationship between 2 variables
- eg. greater ability to detect deception is not associated with shoe size

17
Q

scatterplots

A

depict correlation
- shows direction (positive or negative) of relationship
- which way is imaginary line through data points running
shows strength of relationship
- how tightly clustered are data points around imaginary line

18
Q

so you’ve found a correlation: what does it mean

A
  • positive relationship between number of ice cream cones sold and the number of murders committed
    hypothesis #1: murder causes people to eat more ice cream
    hypothesis #2: eating ice cream causes you to murder
    hypothesis #3: third variable is causing an increase in both murders and ice cream sales
  • bidirectionality causality
    (refers to a situation in which variable X could cause variable Y or vise versa
  • third variable
    (an outside factor can create the illusion of a relationship between 2 factors)
    (ex. ice cream sales and murders, third variable being the summer, warm weather, etc. people more likely to go outside on nicer days, more opportunity to murder)
    CORRELATION DOES NOT MEAN CAUSATION!!
19
Q

advantages of correlational studies

A
  • shows strength of relationship
  • can make predictions about variables
  • useful where experiments are unethical (eg. examining how murder rates fluctuate with the temperature)
20
Q

disadvantages of correlational studies

A
  • variables are not manipulated (just measured)
  • CANNOT assume cause and effect relationship exists
  • correlation can show an association NOT a cause
21
Q

experiments

A
  • look for cause and effect
  • 2 essential characteristics:
    1. manipulation of variable
  • independent variable (IV) - manipulated (ex. temperature in room)
  • dependent variable (DV) - outcome measure (ex. aggressive behaviour)
    2. random assignment of participants to conditions
  • experimental group: receives manipulation
  • control group: does not receive manipulation
22
Q

correlation vs, experimental example: heat and aggression

A
  • research problems: does an increase in temperature cause an increase in aggression?
  • hypothesis: if you increase the temperature, people will become more aggressive
23
Q

correlational design: heat and aggression

A
  • participants: players in soccer league
  • attend several games and simply measure 2 variables (no manipulation)
  • measure 1st variable (X): temperature (operationalized: “average temperature during game in degrees Celsius:”)
  • measure 2nd variable (Y): aggression (operationalized: “number of penalties called during soccer match”)
  • results: is there a relationship between X and Y
  • suppose: r=0.8 (high positive correlation)
  • what can we conclude about aggression and temperature
24
Q

experimental design: heat and aggression

A
  • similar to correlational design, but now we manipulate a variable (IV)
  • participants: soccer players)
  • IV: temperature manipulated (hold games indoors so temperature can be controlled)
  • experimental group: high temperature (30 degrees)
  • control group: room temperature (21 degrees)
  • DV: aggression (number of penalties called during game)
  • suppose we found that:
    1. experimental group (hot): average number of penalties/game = 21
    2. control group (room temp): average number of penalties/game = 9
  • what can we conclude about the heat and aggression that we could not with correlational study
25
Q

what do experimental methods have to say

A

external validity
- do results generalize to a larger population
internal validity
- can cause and effect conclusions be relied upon
generally as one increases, the other decreases

26
Q

random assignment

A
  • all participants have an equal chance of being in an experimental or control group
  • is required to allow cause and effect conclusions
  • research without random assignment cannot be considered experimental
27
Q

cofounds

A
  • any difference between experimental and control groups, other than IV that affect DV (not controlled by researcher)
  • rival explanations, makes IV effects uninterpretable
28
Q

participant bias

A
  • do participants have assumptions about the research
  • if these assumptions impact their behaviour, participants bias can skew results
  • the placebo effect:
    1. when the belief that a treatment will be effective causes it to be effective
    2. improvement in health or behaviour not due to medication or treatment
  • experimenter bias: researchers expectations can skew results - single blind or double blind
    1. the participant and/or researcher don’t know which participant is on which subject group
    2. helps eliminate participant and experimenter biases
29
Q

how do we conduct ethical research

A

deception
- giving participants false information about the study
debriefing
- telling participant the true nature if the study after their involvement is over

CPA code of ethics for psychologists 
- respect for dignity of persons 
(informed consent)
(privacy, confidentiality) 
- responsible caring 
(minimize harm)
(maximize benefits) 
- integrity of relationships 
( avoid deception when possible)
- responsibility to society 
(conduct research that benefits others) 
- research ethics board (REBs or IRBs)
(evaluates potential research to ensure ethical treatment of participants)
- informed consent 
(participants are given as much information about the research as possible)
(this allows them to participate without taking unnecessary risks)
30
Q

new technologies

A
  • virtual technologies
  • implicit tests
  • internet
  • brain imaging