chapter 2: research methods Flashcards

research methods (32 cards)

1
Q

what is (system 1) intuitive thinking?

A
  • quick, reflexive, almost automatic
  • gut feelings
  • relies on heuristics
  • necessary for survival
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2
Q

what are heuristics?

A

mental shortcuts which reduce thinking and simplify reality

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3
Q

what is (system 2) analytical thinking?

A
  • slow & reflective
  • requires cognitive effort
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4
Q

what is validity?

A

ensuring our conclusion is actually reflecting what we want to know

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5
Q

what are the two types of validity?

A

internal and external

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6
Q

what is internal validity?

A

can you form a causation question?

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7
Q

what is external validity?

A

do your findings generalize outside of lab settings?

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8
Q

what is reliability?

A

consistency of research results over time

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9
Q

what is replicability?

A

when others can follow your design and get the same pattern/results

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10
Q

what is reproducibility?

A

when you perform the same experiment and get the same results

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11
Q

what is naturalistic observation

A

watching behavior in the real world
ex: jane goodall
- high EV
- low IV

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12
Q

what are the problem effects w/ naturalistic observation?

A

hawthrone and observer effect

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13
Q

what is the hawthrone effect?

A

when mere observation changes your behavior

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14
Q

what is the observer effect?

A
  • without other observers, it’s difficult to know what’s being reported
  • can multiple reporters reach the same conclusion?
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15
Q

what is a case study?

A

studying one group/person for an extended period of time
- ex: phineas gage (iron rod in head -> studies the frontal lobe)

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16
Q

pros and cons of case studies?

A
  • pros: rare occurrences & existence proofs
  • cons: low IV & EV
    can’t establish causation
17
Q

what is a correlational design?

A

measuring two or more variables to see if they are related

18
Q

pros and cons of correlational design?

A
  • pros: can be good for generalizability & useful for things you cannot manipulate experimentally (like personality)
  • cons: low IV
19
Q

what is experimental design?

A

manipulating one variable to see how it affects the other

20
Q

what does experimental design start to do?

A

demonstrate causality
- you should also test out if Y leads to X to rule out reverse causation

21
Q

what is placebo effect?

A

observed effects could be due to participants expectations of improvement
- solution: blind study

22
Q

what is experimental expectancy effect?

A

researchers expectations can influence participant behavior
- solution: double blind study & random assignment

23
Q

what is demand characteristics?

A

participant tries to guess hypothesis & change behavior
- solution: cover stories & filler items

24
Q

what are descriptive statistics?

A
  • communicating a pattern in your data; numerical summaries of data sets, ‘characteristics’ & ‘facts’ of data
25
what are inferential statistics?
- drawing conclusions from results and using those results to make a prediction (hypothesis)
26
measure of central tendency
- mean, mode, and median
27
measure of variability
- range - variance - standard deviation (distance of each point from mean) - IQR narrow - small variability broad - large variability
28
measures of frequency of distribution
- how data is spread visually - histogram, box plot, pie chart, etc
29
what is inferential statistics?
drawing conclusions from results & making a prediction
30
effect size?
how big x's effect is on y
31
what is an operational definition
specific explanation of how a variable is measured or defined in a study
32
what is a confounding variable
factor other than the IV that could affect the results