RESEARCH METHODS IN PSYCHOLOGY

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PSYC 100

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83 Terms

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psychology

the study of the mind and behaviour

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mind

subjective experiences (ex. sensations, perceptions, memories)

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behaviour

observable actions of people or non-human animals

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folk psychology

common-sense understanding of the mental states and behaviours

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limitations of personal experience + intuition

  1. experience has no control group

  2. cannot generalize from single case

  3. illusion of attention: we notice less of our world than we think we do

  4. inattentional blindness: failure to percieve events outside the focus of one’s attention

  5. confirmation bias: the human tendency to pay attention to and believe in evidenced that supports what we already think we know

  6. we are unaware of subtle but powerful influences on behaviour

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scientific approach

can formulate hypothesises on the basis of prior observation

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theory

framework that explains and generates predictions about phenomena in the world

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hypothesis

testable prediction about what will happen if theory is correct

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data-set

set of observations used to generate hypothesis

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replication study

repition of a study with new elements

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direct replication

complete recreation of original experiment

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conceptual replication

different methods and measures used to recapture original findings

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open-science movement

initiative to make scientific research, data, and methods openly accessible and transparent with the goal of increasing reproducibility

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meta-anaylsis

combination of results of multiple studies

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variable

something that takes on different values (can be a person or condition)

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manipulated variable

intentionally changed by researchers (y intercept)

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measured variable

variable whose values are recorded by researchers (x intercept)

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operational definition

specific description of how variable is measured/manipulated (turned from abstract to concrete)

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open-ended questions

participant gives any answer that comes to mind

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advantages of self-report

get inside participant heads, easy + inexpensive

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disadvantages of self-report

difficulty identifying and verbalizing experiences, social desirability bias, not always aware of why we do what we do

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social desirability bias

tendency to answer questions in a way that is viewed favourably

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direct behavioural observation

researchers observe + record occurrences of behaviour

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advantages of direct behavioural observation

more objective, observes real-world behaviour

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disadvantages of direct behavioural observation

more time + resource intensive, can raise ethical issues, reactivity

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reactivity

a change in behaviour caused by observation

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reaction time

time to respond to a stimulus

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advantages of indirect behavioural measures

avoids social desirability + reactivity

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disadvantages of indirect behavioural measures

big gap between construct of interest and operationalization

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advantages of physiological behavioural observation

outside participant control, displays link between relationships and health

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disadvantages of physiological behavioural observation

expensive, invasive, and ambiguous

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population of interest

set of cases a researcher has interest in

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sample

group who participates in research that belongs to a population of interest

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random sample

every person in a population has an equal chance to participate in research

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WEIRD

white, educated, industrialized, rich, and democratic

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descriptive research

scopes out research problem to generate hypothesis, typically the first step in scientific research

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case study

study of few individuals with unique conditions in depth

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correlational research

measures 2+ variables in the same population sample to observe the relationship between them

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scatterplot

figure used to represent correlation (closer together = stronger relationship, direction of slope = type of relationship)

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correlational coefficient (aka R)

direction and strength of the relationship, ranges from negative to positive 1

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3 key components of causality

  1. 2 variables must be correlated

  2. 1 variable must precede the other

  3. no reasonable alternative explanation must exist (needs an experiment)

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experimental research

a study in which one variable is manipulated and the other is measure

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random assignment

participants are as likely to be assigned to one condition as to another

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independent variable

manipulated variable in an experiment

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dependent variable

measured variable in an experiment

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control group

a condition comparable to the experimental condition in every way except that it lacks the thing hypothesized to produce the expected effect on the dependent variable

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moderater variable

the effect of the independent variable on the dependent variable that is conditional on the value of the moderator (eg. social media could be detrimental for younger adults)

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mediator variable

the independent variable exerts its effect on dependent variable through another variable (eg. social media use increases social comparisons, leading to depression)

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measurement/construct validity

are you measuring what you think you’re measuring

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reliability

do you get the same results every time you administer the measure

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internal validity

can we rule out alternative explanations in an experiment

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confounds

alternate explanation for a relationship between 2 variables

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placebo effect

when improvement happens after recieving inert substances

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double-blind procedures

experiments and participants are unaware of who is in experiment group or control group

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observer expectancy effect

expectations of an observer can influence the subject

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demand characteristics

subtle cues from experimenter may give the participant a sense of whaqt is expected of them

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external validity

can results be generalized to other samples/situations

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statistic

numerical value derived from data set that helps describe the set/evaluate hypothesis

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descriptive statistics

summarize sets of data (eg. mean, medium)

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effect size

values describing strength of association or magnitude of effect

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inferential statistics

helps assess if there is sufficient evidence to support hypothesis

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Cohen’s d

different between groups expressed in terms of standard deviation

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null hypothesis

hypothesis which a study disconfirms

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p-value

the probability of getting a result as extreme as results of null hypothesis, goes from 0 to 1, if p value < 0.05 reject null

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institutional review board (irb)

panel that evaluates if standards (autonomy, beneficience, justice) are met

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autonomy

each participant has the right to decide without coercion to participate in study

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informed consent

researcher must fully explain study procedures, risks + benefits before participating

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beneficience

obligation to promote well-being and minimize harm

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justice

fairness in distribution of benefits and burden of research

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inattentional blindness

failure to percieve events outside the focus of one’s attention

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illusion of attention

the human tendnecy to notice less of our world than we think we do

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confirmation bias

the human tendency to seek out, pay attention to and believe in evidenced that supports what we already think we know

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belief perseverance

maintaining a belief despite new information that firmly contradicts it

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misattribution of arousal

when one mistakes what is making them aroused

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confound

influences that interfere with an accurate measurement between the independent and dependent variable

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internal validity factors

confounds affect internal validity, can be things such as

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differential attrition

when dropout rate between the control group differs from the other groups involved, making it so that the participants who drop out have differing characteristics of those who stay in the study

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average vs variability

average: where most of the points lie (central tendency)

variability: how far apart the points are (aids w external validity)

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frequency distribution

representation of the number of observations within a given interval

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mean

the average or center of a data set

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median

the middle value in a set of data

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mode

value that appears most frequently in a data set

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standard deviation

a measure of how dispersed the data is in relation to the mean