Chapter 2 Research Flashcards

(35 cards)

1
Q

propose theory, then test it and see if data supports it

A

theory data cycle

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2
Q

set of propositions about what people do and why, hypothetical explanation of natural phenomena

A

theory

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3
Q

observations from study, usually numerical

A

data

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4
Q

when a study is carried out multiple times to see if similar results

A

replication

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5
Q

group studied in research

A

sample

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6
Q

method of choosing participants without bias

A

random sampling

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7
Q

observes subjects in ordinary environment

A

naturalistic observation

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8
Q

method that simply assesses variables

A

descriptive

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9
Q

method that looks at relationships of variables

A

correlational

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10
Q

method for finding causes and their effects

A

experimental

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11
Q

assesses how well variables were operationalized

A

construct validity

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12
Q

measures consistency in results of an experiment

A

reliability

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13
Q

how well a sample study results represent the population of interest

A

external validity

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14
Q

study’s ability to rule out alternate explanations for a relationship between variables

A

internal validity

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15
Q

alternative explanation for a relationship between two variables that occurs when two different groups have another difference besides independent variable

A

confound

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16
Q

participant responses, describes scores

A

descriptive statistics

17
Q

measures magnitude of relationship between manipulated and measured variables

18
Q

dispersion of data relative to mean value

A

standard deviation

19
Q

degree to which data is scattered

20
Q

use sample studies to make inferences about general population

A

inferential statistics

21
Q

process to evaluate whether results are accurate to the general population

A

statistical significance

22
Q

assumption of no relationship between variables

A

null hypothesis

23
Q

finding considered statistically significant that doesn’t reflect an actual effect

A

false positive

24
Q

sharing experiments, data, results etc. for collaboration, etc.

25
makes hypothesis and data public for verification by others
preregistration
26
body governing whether an experiment studying humans is ethical
IRB
27
reviews experimental proposals and their treatment involving animals
IACUC
28
bar graph that shows the frequency of score distribution
frequency distribution
29
combines results with studies that have same variables
meta-analysis
30
informed consent, no coercion (including too much money offered), protection from harm, risk-benefit analysis, deception (no information about what procedure is studying), debriefing, confidentiality
APA code of ethics
31
making concepts into something measurable or observable (having clear definitions for a studied behavior)
operational definitions
32
variables appear to have causal relationship but don't
spurious correlations
33
cues revealing experimental expectations to research participants
demand characteristics
34
systematic effect on participant performance
bias
35
both investigator and participant are blind to nature of treatment that participant receives
double blind study