lecture 9 Flashcards

1
Q

what is the random groups design

A

there are two groups and participants are randomly assigned to two groups/conditions

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2
Q

what is random assignment

A

each participant has equal change of being assigned to each of the groups

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3
Q

the participants in the groups of random group designs are ______________

A

non-overlapping or independent from one another

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4
Q

how do you remove confounds between the control group and the experimental group

A

equating the groups

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5
Q

the variable being manipulated is

A

the independent varaiable

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6
Q

the variable that shows the effect

A

dependent variable

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7
Q

explain levels of independent variables

A

there are levels when manipulating the independent variable. the control is a level of IV and the experiment group is also another level of IV

ex. you test chocolates effect on test taking
levels are = small sized vs medium sized vs large sized chocolate

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8
Q

differentiate correlational designs and experimental designs

A

correlational designs are non-experimental and do not lead to conclusions about causality. ideal when IV cannot be manipulated

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9
Q

what type of design is described as “between subjects”

A

independent group designs

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10
Q

describe independent groups design

A

participants are non-overlapping meaning they are either in the control or the experimental group

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11
Q

what is the purpose of the random-group design

A

to establish causality since you are removing possible confounds through andomization

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12
Q

what type of group is a placebo

A

control group

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13
Q

what variable is the hypothesized outcome

A

dependent variable

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14
Q

what is the purpose of random assignment?

A

to create equivalent conditions and rule out differences between groups that could impact results

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15
Q

why do you need to randomize the order of data collecting

A

bc if you dont, you add a confound of duration of the test between the control and experimental groups

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16
Q

what is statistical power

A

probability of detecting an effect (researchers ability to find an effect size of interest)

need enough participants

17
Q

what are underpowered studies

A

studies that do not have enough participants to see effect size

18
Q

what is likely to happen if a study is underpowered

A

no effect can be seen thus the null hypothesis will be accepted

19
Q

what is data peeking

A

checking for statistically significant results after collecting a small subset of data and stopping data collection

20
Q

what is the purpose of a representative sample

A

to have external validity where the results of a study is applicable to population

21
Q

confounding variables are a threat to ________

A

internal validity

22
Q

describe representative samles

A

have characteristics representative of broader population

23
Q

what are the 3 examples of confounding variables

A

differences in:
- environment
- individuals
- researcher (researchers do sntg different)

24
Q

what is a way to avoid the Clever Hans Phenomenon (the horse)

A

making sure the researcher is unaware of the experiment’s hypothesis

25
what is the single-blind design
the participants dont know which group they are assigned
26
what is a double-blind design
both experimenter and participants dont know hypothesis
27
talk about the clever hans phenomenon
a horse was said to know how to solve math but it was just responding to physical cues from the experimenter - research confounds
28
what are matched groups
participants in each group arae matched on particular characteristics of interest (i.e. iq, gender, age..)
29
what is the importance of matched groups
to ensure groups are equivalent