exam 4 Flashcards

1
Q

quasi experiments

A

use real-life settings to examine the effects of treatments
lack full control over variables
has manipulation but not a true manipulation

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2
Q

pros of QE

A

real world opportunties- applied research
legislative impacts
enchances external validity
ethics

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3
Q

cons of QE

A

threats to internal validity

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4
Q

types of QE

A

natural( nonequivalent) group studies- occurs naturally
non equivalent- post test only or pre and post test
interuppted time series- measures DV 2+ times
interrupted time series w/ non equiv control-many measurements

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5
Q

what threats occur in indepdent-groups design in QE

A

selection effects
potential lack of equivalence between groups
there is no randomization or pretest to help determine equivalence

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6
Q

threats to IV in pre-post test designs for QE

A

selection effects
maturation threat-not clear whether the change would have happened w/o treatment

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7
Q

other threats to IV fro QE

A

selection effects
history
maturation
mortality
regression to mean
testing/instrumentation
observer bias
placebo effect

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8
Q

time series designs

A

post test
repeated measures (pre and post)
interrupted time series

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9
Q

factorial designs

A

complex studies w. more than 1 IV

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10
Q

pros of factorials

A

capture real-life causal complexity
answer mulitple questions in one experiement (main effects and interactions)
efficiency
easier to examine individual differecnes
good for therapy evaluations

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11
Q

main effects

A

when an IV had an overall effect on a DV

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12
Q

interactions

A

when the way in which an IV influences a DV depends on the level of another IV

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13
Q

types of factorial designs

A

between subjects
within subjects
mixed-factorial desisgn

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14
Q

mixed facotrial

A

manipulation of 1 IV between subjects and 1 within

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15
Q

non-maniuplated IV facotrial

A

a researcher measures it but doesn’t manipulate it
usually participant variables
now it is not an experiemnt

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16
Q

within factorial

A

all IVs are manipuated- controls for extraneous particpant variables and quicker

17
Q

between factorial

A

all of the IVS are manipulated
avoids carryover effects

18
Q

interaction effect

A

the effect of 1 IV depends on the level of another
ex: friend asks u to movies, you say “depends on who’s going and what movie it is”

19
Q

spreading interaction

A

effect of IV can depend on the level of the other
either a weak effect or no effect of that Iv at the other level of the other IVS

20
Q

cross-over interaction

A

an IV has an effect at both levels of the OV but effects are in opposite directions

21
Q

simple effects

A

an interaction simply informs us that the effects of at least 1 IV depends on the level of another IV
breaking down the interaction