Methods after first Midterm: 6 basic designs Flashcards

1
Q

What type of design can add statistical power and why? (within, between, or mixed)

A

within

- doesn’t need as many subjects - probability of making type II error goes down when stat power is high

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2
Q

three main types of factorial designs?

A
  1. within
  2. between
  3. combos (mixed or nested)
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3
Q

basics of factorial designs (requirements)?

A

2+ independent variables with 2+ levels each

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4
Q

what type of statistical test do factorial designs require?

A

ANOVAs

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5
Q

Two types of between subjects designs

A

Type 1: completely randomized

Type 2: matched group

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6
Q

Statisitcal tests of between subjects designs and within subjects designs?

A

between: independent t-test
within: paired t-test

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7
Q

another name for within subjects deisgn

A

repeated measures design or randomized blocks design

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8
Q

Statistical tests for mixed designs?

A

SPANOVA

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9
Q

Three main types of within subjects design

A
  1. same subject all conditinos
  2. same subject before after (pre-test, post-test)
  3. subjects matched on subject variable and randomly assigned to treatments
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10
Q

disadvantages of within subjects designs

A

practice effects
differential carry over effects
violation of stat assupmtion

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11
Q

advantages of within subjects designs

A

each subject has own control

may increase stat sensitivity or stat power

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12
Q

Type of design where the levels of factor A under levels of factor B are not the same

A

Nested designs

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13
Q

design that requires the most subjects

A

between subject

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14
Q

designt hat requires the least number of subjects

A

within subjects

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15
Q

deisgn that lowers statistical power and increases liklihood of type II power

A

between subjects

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16
Q

design that increases stat power and lowers type II errors liklihood

A

within subject

- can increase alpha

17
Q

design that is more economical but some interactions cannot be evaluated

A

nested designs

18
Q

definition__: interactions between variables or factors

A

interconnectivity

19
Q

when do you have an interaction between variables

A

when the effect of 2+ variables is not simply additive

- if the effect of one variable changes with different values of the second dependent variable

20
Q

what do significant interactions do to main effects

A

significant interactions can mask the significane of main effects

21
Q

what limits the number of potential interactions in a study

A

limiting the number of factors and the number of levels of each factor

22
Q

DONT FORGET TO GO OVER

A

EXAMPLES