quiz Flashcards

1
Q

independent variables are manipulated (two groups, two levels, or condition for each IV)

A

feature of experimental design

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2
Q

control of individual variability (random assignment to groups in between-subjects/independent group designs; each participant serves as their own control in within-groups designs and matched random assignment)

A

feature of experimental design

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3
Q

sacrifice of ecological validity (need to consider experimental and mundane realism)

A

feature of experimental design

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4
Q

problems: demand characteristics, reactivity, experimenter effects

A

feature of experimental design

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5
Q

experimental variance: due to manipulation of IV; variance variance is due to what we put our participants through

extraneous variance: uncontrolled, confounding variables that affect the group as a whole; confound; occurs at the same time as the manipulation (like hx, if it only affects one group)

A

systematic between-groups variance

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6
Q

error variance: random factors that affect only some participants in a group; random assignment helps to mitigate this

A

nonsystematic within-groups variance

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7
Q

one IV with two groups/levels/conditions

A

simple randomized

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8
Q

one IV with three or more groups/levels/conditions

A

multi-level, posttest only

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9
Q

DV is measured before and after the intervention/tx

A

pretest-posttest control group

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10
Q

participants matched on a given variable, compared to each other after treatment/intervention

A

match-subjects

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11
Q

sensitive to time-related effects like history, maturation, statistical regression; lasting effects of one level or condition may affect subsequent levels or condition

A

within-subjects

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12
Q

as many conditions as there are groups

A

factorial

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13
Q

practice effects–train participants at the same level of performance
habituation
fatigue–give participants a break
carryover–allow enough time between levels/conditions for a washout period
sensitization–hard to control for; best not to use within-subjects design if this is going to be a concern

A

order effects and how to control for them

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14
Q

participants matched precisely on a given characteristic (all groups have the same IQ score)

A

precision matching

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15
Q

participants are matched based on a range (all group members’ IQs fall within the same range)

A

range matching

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16
Q

for large number of conditions, this is giving every group/person a different order of questions/tasks

A

complete counterbalancing

17
Q

if there are 720 orders and only 60 participants, randomly select 60 of those orders and assign these to the 60 participants

A

partial counterbalancing

18
Q

each condition appears at each place in the order

A

Latin square design

19
Q

would use this for independent (between-groups design) and paired (within-groups) design

A

t-test

20
Q

would use this for one IV, two IVs, and three IVs

A

ANOVA

21
Q

use when you need to analyze results to make unplanned comparisons

A

post hoc statistical tests

22
Q

planned before the study, based on what you expect to see

A

a priori statistical tests