Word Doc Week 7 Flashcards

1
Q

ANOVA

A

One-way (single-factor) Analysis of Variance

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2
Q

ANOVA can be used in a variety of ways

A
  • Independent groups
  • Repeated measures
  • Matched samples
  • Designs involving mixtures of independent groups and repeated measures
  • More than one independent variable can be evaluated at the same time
  • ANOVA can be tailored to address virtually any research question.
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3
Q

F statistic - Sources of Variability in a data set

A

Between-group variability

Within-group variability

Treatment+individual differences+experimental error

Individual differences+experimental error (error term)

  • If there is no treatment effect at all, then F = 1
  • the stronger the treatment the bigger value of F ration
  • Does not have an upper limit
  • Cannot be negative
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4
Q

Null Hypothesis for ANOVA

A
  • Group 1 - MOL treatment
  • Group 2 - Drug treatment
  • Group 3 - Imagery treatment
  • Group 4 - No treatment Control Grou
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5
Q

Post-Hoc Tests

A
  • Tests carried out after you have obtained a significant overall ANOVA
  • Locates the sources of significance in the F ratio
  • Overall F must be significant to justify the use of post-hoc tests
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6
Q

Types of Post-Hoc tests

A
  • Scheffé test
  • Newman-Keuls test
  • Tukey’s Honestly Significant Different Test
  • Fisher’s Least Significant Different Test

These tests do the same thing, tests every group with every group to unpack a significant result

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7
Q

Pairwise Comparisons

A

Is there a significant difference between each pair of group means

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8
Q

Planned Comparisons - Priori Tests

A
  • Specific hypothesis involve sub-groups of you experiment
  • Carried out instead of overall ANOVA followed by post-hoc tests
  • can test complex comparisons that involve combinations of groups
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9
Q

Advantages of Planned Comparisons over Post-Hoc tests

A
  1. More likely to find a significant difference with a planned comparison than with an equivalent post-hoc test
  2. Are statistically more powerful.
  3. Can design complex comparisons
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10
Q

Advantages of Post-Hoc tests over Planned Comparisons

A
  • can compare each group with each group
  • planned comparisons permit a smaller number of focussed comparisons
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11
Q

Rules for Planned Comparisons

A
  • Done instead of an overall ANOVA
  • Maximum number of planned comparisons you can have is the number of groups
  • Your contrast coefficients must sum to zero
    *
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