Exam 1 Flashcards

(103 cards)

1
Q

consumers and producers

A

consumers
- what do you gain from being a critical consumer of info
-read news stories based on research for future career
-evidence based treatment

producers
- why is it important to learn about research processes
- for coursework, grad school, research lab

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2
Q

theory-data cycle

A

scientists collect data to test, change, update
- studies do not prove theories

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3
Q

theory

A

set of proposed relationships among constructs, variables thought to play role in determining behavior

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4
Q

hypotheses

A

a precise, testable statement of what researchers predict will be the outcome of a study

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5
Q

data

A

any type of info collected or measured during research

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6
Q

basic research

A

things done in a lab that do not have applicability to real world- setting does not tackle real world problem

ex. motivations of a depressed person

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7
Q

applied research

A

will solve practical problems- can apply finding to solve real world problems

ex. test efficacy of treatment for depression in sample of trauma survivors

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8
Q

peer review process

A

experts can help find virtues and flaws in publications

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9
Q

Merton’s norms of science

A

universalism: scientific claims evaluated according to merit, independent of researchers reputation

communality: scientific knowledge is created by a community and findings belong to that community

disinterestedness: scientists strive to discover the truth, not swayed by conviction, idealism, politics, profit

organized skepticism: scientists question everything

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10
Q

empirical journals vs. popular journals

A

popular journal: misrepresent science reported in empirical journals- misleading and not thorough

empirical journal: based on research and peer review, much more reliable

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11
Q

personal experience

A

own experience is persuasive and does not have a comparison group- other things could be affecting results, experience makes it harder to isolate confounds

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12
Q

5 ways intuition can be biased

A
  1. swayed by a good story
  2. persuaded by what easily comes to mind
  3. ignoring what we cannot see
  4. focusing on evidence we like best
  5. biased about being biased
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13
Q

availability heuristic

A

we believe things that are readily available to us

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14
Q

present/present bias

A

people often fail to look for absences, paying more attention to what is present- ignore results when absence of effect is there

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15
Q

confirmation bias

A

focus on evidence we like best/will confirm our beliefs

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16
Q

bias blind spot

A

belief that we think we are unlikely to fall prey to other biases previously described

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17
Q

importance of being skeptical

A

empiricism teaches us to base beliefs on systematic info from senses- always ask compared to what

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18
Q

finding info

A

journal articles- most important
books
databases and websites

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19
Q

empirical journal articles

A

report results of a research study

abstract, intro, method, results, discussion, references

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20
Q

review journal articles

A

summarize all studies published in a research area

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21
Q

books and chapters in edited books

A

compilation of studies on a common topic

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22
Q

how to read journal articles with a purpose

A

what is the argument?
what is the evidence to support?

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23
Q

legitimate journalism and disinformation

A

how food is the study behind the story?
is the story accurate?
read critically

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24
Q

variable

A

something that changes over time/varies

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25
constant
something that does not change/stays the same
26
measured variable
variables whose levels are obsreved and recorded
27
manipulated variables
variables that the researcher controls
28
levels of variables
level=value
29
measured vs manipulated variable
measured: observed and reported manipulated: controlled some variables can only be measured, some can be either
30
conceptual variable
abstract, theoretical concept 'up in the clouds'
31
operational variable
specific, concrete turns a conceptual definition into a measured/manipulated variable
32
claim
an argument someone is trying to make
33
frequency claim
describes a particular level or degree of a single, measured variable ex. 39% of teens admit to texting while driving
34
association claim
argues that one level of a variable is likely to be associated with a particular level of another variable- supported by studies w/ at least 2 measured variables
35
causal claim
once variable causes change in level of another variable, - advice MUST have two correlated variables, temporal precedence, and no confounds
36
positive association
high levels of one variable go w/ high levels of another
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negative association
high level of one variable go with low levels of the other
38
zero association
no association between two variables
39
validity
appropriateness of a conclusion or decision
40
construct validity
how well variables in study are measured/manipulated - is the study measuring what is is said to be measuring
41
external validity
extent to which results of a study generalize to some larger population, time, or variable
42
statistical validity
how well numbers support the claim- how strong the effect is and the precision of the estimate
43
internal validity
is there a confounding variable in play
44
construct validity of frequency claim
how well did researchers measure their variable of interest ex. 29% of teens text while driving- how was this measured
45
external validity of frequency claims
how id researchers choose participants and how well do they represent intended population ex 74% of the world smiled yesterday - did researchers survey every human or a small sample
46
statistical validity of frequency claims
how well do the numbers support the claim being made - examine CI or margin of error - have multiple estimates
47
construct validity of association claims
how well did researchers measure variable of interest - must measure for both variables
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external validity of association claims
how did researchers choose participatns and how well do they represent intended population
49
statistical validity of association claims
how well do numbers support claim - consider strengh of association us CI
50
which claims do not need internal validity
because association and frequency claims do not attempt to say one variable causes another, they cannot be evaluated for internal validity
51
covariance
study results show that as A changes, B changes
52
temporal precedence
study's methods ensure that A comes first in time, before B
53
internal validity- causal claims
studys method ensures there are no plausible alternative explanations for the change in B * top priority with causal claims
54
how di the Tuskegee Syphilis study violate three ethical principles of the belmont report
1. respect for persons - men were not informed of nature of study, no informed consent 2. beneficence - did not maximize benefits and minimie harm - participants were denied treatment 3. justice - unfairly targeted a specific group
55
informed consent
1. info disclosure- all relevant info abt study is provided 2. comprehension- participants can understand infor provided 3. voluntariness- participants have freedom to participate or not
56
protection of vulnerable groups
children, elderly individuals, individuals with cognitive impairments, pregnant women 1. extra safeguards- additional protections to safeguard rights 2. informed consent adaptation- information tailord to unique needs 3. ethical oversight- heightened responsibility to protect vulnerable groups ethical standards can be upheld, autonomy is promoted
57
principle of beneficience
considering how others might be harmed, may not withhold treatments, attempt to predict risks and benefits
58
APA code of conduct
1. beneficience and nonmalefience 2. fidelity and responsibility 3. integrity 4. justice 5. respect for peoples rights and dignity 1. resolving ethical issues 2. competence 3. human relations 4. privacy and confidentiality 5. advertising and other public statements 6. record keeping and fees 7. education and training 8. research and publication 9. assessment 10. therapy
59
APA ethical standard 8
1. institution review boards 2. informed consent 3. deception 4. debriefing 5. research misconduct 6. animal research
60
institutional review board
a committee responsible for interpreting the ethicality of research involving human subjects scienticts, ethicists, community members
61
deception
when researchers withold details of the study/actively lie to them psychological research only permissible when 1. no other nondeceptive method exists to study the phenomenon of interest and 2. the study makes significant contributions to scientific knowledge and 3. the deception is not expected to cause significant harm
62
debriefing
when the researcher describes the nature of the deception and explains why it is necessary
63
animals in research
used when they cant use humans - institution animal care and use committee (IACUC) must approve project - at least three members: verteran, practicing scientists, member of the community
64
three forms of research misconduct
data fabrication, data falsification, plagiarism
65
conceptual variable
any construct that can be conceptualized but not completely measured ex. concept of depression
66
conceptual variable vs its operationalization
conceptual- overarching theory operationalization- how it is carried out
67
self report
record peoples answers to quesitons about themselves in a questionnaire or interview
68
observational/behavioral measure
record observable behaviors or physical traces of behavior
69
physiological measure
record biological data
70
categorical variable
levels are qualitatively distinct categories ex. dog breed
71
quantitative measure
variables are coded with meaningful numbers ex. height, weight
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ordinal variable
represents an order ex. distance between rankings, finishers in a race
73
interval
numbers represent equal intervals between levels NO TRUE ZERO
74
ratio
numbers in the variable have equal intervals and zero means zero
75
validity vs reliability of a measure
reliability- consistency of a measure- necessary but not sufficient validity- accuracy of a measure measure can be less valid than reliable but NOT more valid than reliable
76
test-retest reliability
consistent scores every time measure is used ex. give IQ test at beginning of semester, middle and enf - weight may not be good
77
interrater reliability
consistent scores no matter who does the measuring
78
internal reliability
consistent pattern of responses regardless of how the researcher has phrased the question
79
correlation coefficient
direction of points- positive, negatve, zero - how close/far dots are from imaginary line= strength - tests reliability
80
face validity
it looks like what you want to measure - head circumference has high face validity of hat size but low face validity of operationalization of intelligence - is the content suitable to aims
81
content validity
the measure contains all parts that the theory says it should contain ex. if intelligence means ability to reason, the operationalization of intelligence should have questions to assess those parts
82
criterion validity
evaluates whether the measure is associated with a concrete behavioral outcome - important for self report measures to make sure subject does not lie
83
convergent validity
self report measure is more strongly associated with self report measures of similar constructs
84
discriminant validity
when self report measure does not correlate strongly with measures of dissimilar constructs
85
within subjects design
participants exposed to all levels of IV - measured on DV after exposure studying effectiveness of blood pressure medication on a group pros - ensures participants are equal -requires fewer participants - differences can be controlled cons - order effects can happen -not always possible - demand characteristics
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between subjects design
participants split into groups pros - subjects are unaware of manipulations cons - need a lot of subjects differences between conditions may be due to persons treatment group
87
random assignment
ensures each participant has the same likelihood of being selected
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restricted random assignement
when you need to control for differences in participants characteristics between groups matching- participants matched by individual characteristics holding constant- participants sorted by characteristic and split randomly within characteristic group
89
block randomization
presenting trials of the same condition more than once
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selection effect
bias introduced when sample is skewed toward specific subset of target population
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order effects
when order of conditions affects participants response
92
maturation threat
changes in behavior happen over time regardless of interventions
93
history threat
some change may have occured between pre and post testing
94
regression threat
group average is unusually extreme at time 1, the next group measured is likely to be less extreme
95
attrition threat
when there is a reduction in number of participants from pre to post test
96
testing threat
specific kind of order effect there is a change in the participants as a result of taking a test more than once
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instrumentation threat
when measuring instrument changes over time
98
observer bias
bias caused by researchers expectations influencing how they interpret results
99
demand characteristics
bias occurs when participants figure out what the study is about and change their behavior
100
placebo effect
people receive treatment and really improve because recipients believe they are experiencing valid treatment
101
measurement error
degree to which recorded or measured variable differs from true value
102
individual differences
individual differences spread out scores in each group
103
situation noise
unrelated events or distractions in environment create unsystematic variability within groups