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Two-way ANOVA

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Preguntas del test (18)

  1. 1If there are more levels, there are more comparisons, which increases likelihood of:
    1. AType 1/alpha error (finding significant results when there isn't one)
    2. BType 2/beta error (failing to reject the null)
    3. CType 1/alpha error (failing to reject the null)
    4. DType 2/beta error (finding significant results when there isn't one)
  2. 2If there are more levels, there are more comparisons, which increases likelihood of type 1/alpha error. This is known as:
    1. AFamilywise error
    2. BOrder effects
    3. CCohen's d
    4. DPearson's r
  3. 3How can you reduce Familywise error:
    1. AStricter probability
    2. BIgnoring it
    3. CHaving more levels
    4. DUsing a t-test
  4. 4An ANOVA is an omnibus test, meaning:
    1. AIt discovers overall difference, not where it lies, reducing Familywise error by conducting 1 test rather than many t-tests
    2. BDiscovers where the difference lies by using Tukey
    3. CCompares only 2 groups
    4. DIt has nothing to do with main or interaction effects
  5. 5Two-way ANOVA means there are:
    1. ATwo IV's
    2. BOnly 2 groups
    3. COne IV
    4. DThree IV's
  6. 6An example Two-way ANOVA is: impact of gender AND type of exercise ON depression
    1. AVerdadero
    2. BFalso
  7. 7In this last example two-way ANOVA, identify which are predictor variables and which are outcome variables: (3)
    1. AGender: predictor
    2. BExercise: predictor
    3. CDepression: outcome
    4. DDepression: predictor
  8. 8If gender (predictor 1) has 2 levels (male or female) AND exercise (predictor 2) has 3 levels (cardio, strength, control), this can be described as a:
    1. A3 x 2 design
    2. B2 x 2 design
    3. CT-test
    4. DOne-way ANOVA
  9. 9If both IV's/predictors are between groups = [blank_start]fully between[blank_end] design
    1. Afully between
    2. Bmixed
    3. Cfully within
    4. Dsilly
  10. 10If 1 predictor is within, and the other is between, it is known as a mixed design
    1. AVerdadero
    2. BFalso

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Two-way ANOVA
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