Ch. 8: Experimental Designs: Between-Subjects Design Flashcards

1
Q

two basic experimental research designs

A

within-subjects and between-subjects designs

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2
Q

within-subjects design

A

the groups of scores all can be obtained from the same group of participants

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3
Q

between-subjects design

A

involves obtaining each group of scores from a different group of participants

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4
Q

synonym for between-subjects design

A

independent-measures experimental design

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5
Q

goal of between-subjects designs

A

to determine whether differences exist between two or more treatment conditions

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6
Q

independent scores

A

there is only one score for each participant

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7
Q

advantages of between-subjects designs

A
  • Each score is independent of other scores, so it is not influenced by factors such as practice, fatigue, or contrast effects
  • Can be used for a wide variety of research questions
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8
Q

disadvantages of between-subjects designs

A
  • They require a relatively large number of participants
  • Individual differences
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9
Q

individual differences

A

personal characteristics that differ from one participant to another

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10
Q

concerns about individual differences

A
  • Individual differences can become confounding variables
  • Individual differences can produce high variability in the scores
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11
Q

Two major sources of confounding that exist in a between-subjects design

A

Individual differences
Environmental variables

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12
Q

The separate groups in a between-subjects design must be

A

created equally, treated equally, composed of equivalent individuals

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13
Q

created equally

A

the process used to obtain participants should be as similar as possible for all of the groups

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14
Q

treated equally

A

except for the treatment conditions that are deliberately varied between groups, the groups of participants should receive the same experiences

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15
Q

composed of equivalent individuals

A

the characteristics of participants in any one group should be as similar as possible to the characteristics of the participants in every other group

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16
Q

three ways to limit confounding by individual differences

A
  1. Random assignment (randomization)
  2. Matching groups (matched assignment)
  3. Holding variables constant or restricting the range of variability
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17
Q

goal of random assignment

A

to ensure that all individuals have the same chance of being assigned to a group

18
Q

assumption of random assignment

A

It is reasonable to assume that characteristics such as age, IQ, and gender are also randomly distributed across groups

19
Q

restricted random assignment

A

the group assignment process is limited to ensure predetermined characteristics (such as equal size) for separate groups

20
Q

advantage of random assignment

A

it is fair and unbiased

21
Q

disadvantage of random assignment

A

it doesn’t guarantee a perfectly balanced outcome; in the long run, it will be fair, but in the short run, anything can happen by chance

22
Q

matching groups

A

involves assigning individuals to groups so that a specific participant variable is balanced, or matched across the groups

23
Q

goal of matching groups

A

to create groups that are equivalent concerning the variable matched

24
Q

three steps of matching groups

A
  1. Identification of the variable(s) to be matched across groups
  2. Measurement of the matching variable for each participant
  3. Assignment of participants to groups using restricted random assignment ensures a balance between groups
25
Q

advantage of matching groups

A

provides a relatively easy way to ensure that specific participant variables do not become confounding

26
Q

disadvantages of matching groups

A
  • The researcher must first measure the matched variable which can be tedious and costly
  • It can be difficult or impossible to match groups on several different variables simultaneously
  • Groups cannot be matched on every single variable that might differentiate participants
27
Q

advantage of holding variables constant or restricting range of variability

A

it can be an effective way to prevent the variable from confounding

28
Q

disadvantage of holding variables constant or restricting range of variability

A

it limits the external validity of the research

29
Q

recommendations for limiting confounding

A
  • Random assignment provides a simple way of balancing characteristics across groups without addressing reach individual variable
  • When one or two specific variables can be identified as likely to influence the dependent variable, use matching or holding the variable constant
30
Q

individual differences and variability

A
  • Individual differences have the potential to produce high variability in the scores
  • This can obscure treatment effects and undermine the likelihood of a successful study
31
Q

variance

A

a statistical value that measures the size of the differences from one score to another

32
Q

variance and patterns in the data

A

Large variances can obscure patterns in the data

33
Q

differences between treatments and variance within treatments

A
  • Big differences between treatments are good because they provide evidence of differential treatment effects
  • Big differences within treatments are bad because the differences that exist inside the treatment condition determine the variance of the scores
34
Q

4 ways to minimize variance within treatments

A
  • standardize procedures and treatment setting
  • limit individual differences
  • random assignment and matching
  • sample size
35
Q

standardize procedures and treatment setting

A

be sure that participants within a group are treated the same

36
Q

limit individual differences

A

this can be done by matching variables, holding variables constant, or restricting their range

37
Q

random assignment and matching

A

this has no effect on the variance within groups

38
Q

sample size

A

using a large sample size can help minimize the problems associated with high variance

39
Q

what is the best way to minimize the negative consequences of high variance?

A

to standardize treatments and minimize individual differences between participants

40
Q

two advantages of holding a variable constant or restricting its range

A
  • It helps create equivalent groups, which reduces the threat of confounding variables
  • It helps reduce the variance within groups, which makes the treatment effects easier to see