exam one Flashcards

(46 cards)

1
Q

empirical approach

A

using your senses to gather information. draw conclusions based on unbiased and verifiable data

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2
Q

systematic observation

A

consistent change in conditions from one group to the next

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3
Q

non-systematic observation

A

change in conditions is random/has no comparison group

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4
Q

tangible metric

A

metric that has a specific number (score on a personality scale, blood pressure reading)

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5
Q

non-tangible metric

A

not a specific number (experiencing stress/discomfort)

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6
Q

theory-data cycle

A

theories generate hypotheses-test these hypotheses-generating data to shape theory

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7
Q

theory

A

statement that attempts to specify the general principles about how variables relate to one another

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8
Q

a good theory is…

A

-supported by data
-falsifiable (able to be proven false)
-parsimonious (simply explained)

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9
Q

hypothesis

A

specific prediction derived from a theory and specific research design

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10
Q

basic research

A

primary goal is to gain knowledge

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11
Q

applied research

A

conducted to find solutions for real world problems

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12
Q

translational research

A

takes basic research findings and applies them in real world settings

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13
Q

scientific journalism

A

benefits: people become more informed, psychologists become more well known
cons: is the story important or accurate?

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14
Q

confound

A

other explanations for an outcome

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15
Q

probabilistic

A

research is meant to explain a certain proportion of possible cases. exceptions should not undermine general results

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16
Q

faulty thinking

A

we tend to believe that a theory makes “sense”

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17
Q

availability heuristic

A

things that are easily brought to mind to guide our thinking

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18
Q

present/present bias

A

probability that two things happen together/at the same time, its easy to notice when something is present but not when its absent

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19
Q

confirmation bias

A

when you already have a particular belief, you notice when something confirms it but not when its disproved

20
Q

cherry picking

A

seeing all evidence but only presenting the “good”

21
Q

bias blind spot

A

we think we are unbiased but everyone else is biased

22
Q

variable

A

a thing that varies and contains multiple levels

23
Q

constant

A

a thing that does not vary or we are not interested in how it varies

24
Q

manipulated variable

A

a variable a researcher controls

25
measured variaable
levels are simply observed and recorded
26
hypothetical construct
an entity that we know exists in each individual but its intangible. if needed measured, it needs to be defined using a tangible metric
27
conceptual definition
everyday use of a term
28
operational definition
how a concept or term is measured and manipulated in a study
29
frequency claim
particular rate or degree of a SINGLE variable
30
association claim
one level of a variable is likely to be associated with another. aka correlation or covariation
31
causal claim
one variable is responsible for changing another
32
construct validity
are the researchers measuring what they think they're measuring?e
33
external validity
can the researchers generalize their results to the whole (external) population?
34
statistical validity
did the researcher use the right statistical tests?
35
internal validity
a study's ability to rule out alternative causal explanation a is causing b
36
covariance
a and b are correlated
37
temporal precedence
a precedes (comes before) b
38
face validity
does the measure appear to measure what its supposed to measure
39
convergent validity
does my measure correlate stronglt with (already validated) related constructs?
40
discriminant validity
does my measure correlate only weakly (or not at all) with unrelated constructs
41
criterion-related validity
does my measure correlate strongly with behaviors linked to the construct
42
test-retest reliability
give same test twice
43
interitem reliability
do all items on a same scale assess the same construct?
44
item total correlation
the degree to which one item on a scale correlated with the total score on that scale
45
split-half reliability
split data in half and correlate sum of each set
46
interrater reliability
correlation of the scores from two separate observers who were measuring the same variable