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
Q

what is the single-blind design

A

the participants dont know which group they are assigned

26
Q

what is a double-blind design

A

both experimenter and participants dont know hypothesis

27
Q

talk about the clever hans phenomenon

A

a horse was said to know how to solve math but it was just responding to physical cues from the experimenter - research confounds

28
Q

what are matched groups

A

participants in each group arae matched on particular characteristics of interest (i.e. iq, gender, age..)

29
Q

what is the importance of matched groups

A

to ensure groups are equivalent