Chapter 2 Research Flashcards

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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

A

effect size

18
Q

dispersion of data relative to mean value

A

standard deviation

19
Q

degree to which data is scattered

A

variability

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.

A

open science

25
Q

makes hypothesis and data public for verification by others

A

preregistration

26
Q

body governing whether an experiment studying humans is ethical

A

IRB

27
Q

reviews experimental proposals and their treatment involving animals

A

IACUC

28
Q

bar graph that shows the frequency of score distribution

A

frequency distribution

29
Q

combines results with studies that have same variables

A

meta-analysis

30
Q

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

A

APA code of ethics

31
Q

making concepts into something measurable or observable (having clear definitions for a studied behavior)

A

operational definitions

32
Q

variables appear to have causal relationship but don’t

A

spurious correlations

33
Q

cues revealing experimental expectations to research participants

A

demand characteristics

34
Q

systematic effect on participant performance

A

bias

35
Q

both investigator and participant are blind to nature of treatment that participant receives

A

double blind study