Test 3 Flashcards

1
Q

Experiment

A

allows for inferences of causality *only method that can, mechanisms, and explanation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

conditions for causality

A
  1. temporal precedence
  2. consistency, regularity
  3. contingency - if theres no cause, theres no effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

experimental method

A
  1. manipulate the variable (independent)
  2. control other factors
  3. measure some result (dependent)
    * hard to achieve these goals
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Independent variable

A
  • factor of interest
  • the potential cause
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

simplest manipulation

A

presence and absence
- can compare amount/ levels
- need control of condition of absence cause

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

ideally manipulation changes only ….

A

factor of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

___ should be very similar, which is ___ and impacts ability to _____

A

control, tough, infer causality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

difference between experimental and control conditions =

A

the factor of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

IV strengths

A

control and learn causality. great for things that can be easily changed in the lab

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

IV weaknesses
1.
2.
3.
4.
5.
6.

A
  1. generalizability
  2. making someone do something
  3. no longer naturally occurring
  4. participant reactivity
  5. is the manipulation realistic/ real world
  6. does the behaviour change when its being manipulated
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

extraneous variables

A

variables not of interest must be controlled. can be done through random assignment.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

confound

A

an EV that covaries with the IV and could provide an alternative explanation. fatal flaw, EV not of interest, only appears when IV is there.

ex. getting a coffee before a test or not getting one (confound). is it getting a coffee or getting a gift?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

manipulation check

A

did you manipulate the IV/cause? strength of association. important for interpreting the results of experiments

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

between subjects studies

A

different people in each condition

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

within subjects studies

A

same people do the experiment and control
fewer people needed, no possible confound of individual differences, *more powerful, more sensitive/ability to notice differences

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

between subjects info
1.
2.
3.

A
  • IV id subject variable (age, personality, culture)
  • need uninformed people in all conditions (deception)
  • participation in one study would affect being apart of the other
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

between subjects problems

A

must avoid confound from non-equivalent groups
- use random assignment and larger sample sizes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

dependent variable

A

outcome measures

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

ceiling effect =
floor effect =

A

everyone does well
everyone does poorly
*low variability and restriction of range

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

internal validity =
external validity =

A

how sound is the study design?
do the results generalize to the real world?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Internal validity
1.
2.
3.
4.

A
  1. free of confounds
  2. influence of task order (fatigue, practice)
  3. help by counterbalancing - half get control 1st and half get control 2nd
  4. add a filter task between conditions
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

IValidity demand characteristics

A

there may be clues on what is being studied which can affect behaviours

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

IValidity construct validity

A

measuring properly

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

IValidity participants problems

A

no random assignment (self selection)
selective attrition (participants drop out)

25
IValidity experimental problems
bias/expectations help by hiding conditions from experimenter
26
external validity 1. 2. 3. 4. 5.
1. are we learning about the real world? 2. populations 3. situations/environments 4. times, does it happen for different generations? 5. generalizing is a limitation, but not a design flaw
27
other validity concerns
statistical conclusion validity - appropriate use, adequate sample sizes, selective reporting of analyses
28
Quasi experiments
control conditions not possible or equivalent - no random assignment
29
when quasi experiments?
very common in applied context (real world) interventions/ program evaluation
30
quasi is not bad why?
necessary when true experiments arent possible can be more common / useful a good way to judge if a good true experiment was done - way to critique
31
one group designs
the most simple changing the order of events
32
one group post-test only
collect data after intervention no comparing because you do not have data from before no causal inferences and lacks internal validity
33
one group pre+post-test
DV is tested twice, before and after intervention and compare these scores.
34
Quasi experiments internal validity threats 1. alternative explanation 2. alternative explanation 3. 4.
1. effects of history = some real world event occurs to affect DV, after pre-test before post 2. maturation = natural changes that can occur on DV (age and development) 3. testing = pre test influences post test (fatigue, practice, participant reactivity, hawthorne 4. regression toward the mean = for both high and low scores, they tend toward the average. select a group that has an extreme value and keep testing.
35
Can control help for quasi?
would help rule out history, maturation, and testing but only if control condition also goes through these things. control also needs extreme scores for regression.
36
single case quasi experiment
only 1 participants - useful for yourself measure baseline, then do intervention, then measure measure behaviour
37
research on ___ does not ____ to ____
groups, generalize, individuals
38
reversal design
baseline A, treatment B, baseline A see if you can go back to baseline, casual principle
39
end on __ if the ___ ____
B, treatment works
40
developmental designs & types
examining change across ages - naturally-occuring cross-sectional and longitudinal
41
cross sectional 1. like.... 2. strengths 3.weaknesses
measure interest in people of different ages 1. between-subjects 2. relatively easy, inexpensive 3. differences may not be in age but due to other things (cohorts)
42
longitudinal design 1. like.... 2. strengths 3. weaknesses
same people followed over time 1. same-subjects 2. no confounds with other cohorts 3. difficult, expensive, attrition
43
1. retrospective method 2. strengths 3. weaknesses
1. ask people to recall earlier experiences 2. easy, inexpensive 3. misremembering or not accurate
44
Ethics = research is =
morality, integrity complex and unpredictable, cannot create a set of rules but follow principles
45
concern for welfare
minimize harm, maximize benefit. ignorance can result in harm. stay well-trained
46
respect for persons 1. 2. 3.
1. protect autonomy 2. free of coercion 3. informed consent.
47
promote justice 1. 2. 3.
1. equal access to benefits and burdens 2. participant selection justified 3. those who contribute must benefit (Jane & Finch)
48
1. Institutional review board 2. exempt from review 3. expedited from review 4. full review
1. need to submit proposal to them before research 2. naturalistic observation in public and archival 3. minimal risk research 4. everything else
49
Minimal risk
stress from study is equal to everyday stress. benefits must outweigh the harm. all research is a burden
50
Rules for conducting experiments 1. 2. the burden of this 3.
1. need voluntary, informed, competent consent 2. informing may alter behaviour - deception but last resort. tricky for vulnerable people 3. right to withdraw without penalty and full compensation
51
debriefing
end or research - provide info, undo any harm, inform about deception
52
Scientific fraud = 1. 2. 3. 4.
data falsification / manipulation 1. coding done wrong 2. make up data 3. alter data 4. create co-author
53
questionable research practices 1. 2. 3. 4.
1.optional stopping 2. dropping some dependent variable 3. dropping conditions 4. using covariates self-servingly
54
QRP solution
report and register data collecting rules in advance
55
____ is the difference between scientific ___ and ____, but not becoming more ___
intent, fraud, QRP, alike
56
____ decisions are problematic
self-serving
57
HARKing
hypothesizing after results are known
58
Generalizability = 1. 2. 3.
how to interpret results 1. what population does this sample represent 2. in what contexts would we see similar results 3. are these results repeatable