Lecture 10 Flashcards

(12 cards)

1
Q

between subjects designs

A

participants are separated into different levels of the independent variable
-each participant is only exposed to ONE level

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2
Q

forms of between subjects deigns

A
  1. two groups
    - treatment and no treatment
    - two different levels
    - two different categories
  2. multiple groups
    - multiple levels of IV
    - multiple categories
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3
Q

two groups in a between subjects design

A

two groups: maximize the difference between conditions
not as much info
ex) happy——–sad

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4
Q

multiple groups in a between subjects designs

A
  • greater understanding of relationship between variables
  • more difficult to find an effect
    ex) happy——-meh———sad
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5
Q

determining significance for two groups in a between subjects designs

A
  • independent sample t-test
  • significance means group 1 and group 2 differ
    ex) warm vs cold
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6
Q

determining significance for multiple groups in a between subjects designs

A
  • ANOVAS (f test)
  • significance means there is a difference between groups
    ex) happy, sad, neutral moods
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7
Q

determining significance for nominal or ordinal data

A

chi-square

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8
Q

advantages of using a between subjects designs

A
  • some research designs need it
  • necessary/easier for some IVS
  • some variables can only be measured once
  • removes the possibility of contrast effects from one condition to another
  • diminishes the likeihood of fatigue effects from one condition to another
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9
Q

disadvantages of using a between subjects designs

A
  • confounding variables from participants are more likely
  • more participants are required
  • variability between groups is larger than within group
  • SMI (MRS SMITH)
  • control group issues
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10
Q

control group issues

A
  1. diffusion: exchange if info between groups
  2. compensatory equalization: control group demands they receive treatment
  3. compensatory rivalry: control group tries to out-perform treatment group
  4. demoralization: control group gives up
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11
Q

threats to internal validity for between subjects designs

A

from MRS SMITH: S, S, M:

  • selection of subjects
  • selection x maturation
  • mortality
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12
Q

controlling for confounding variables

A
  1. random assignment
  2. matching
  3. holding constant
  4. control for experimental conditions-ex) time of day
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