Week 4 Flashcards

1
Q

What is a ANOVA test ?

A

An inferential parametric statistical test for comparing the means of 3 or more groups
* stands for Analysis Of Variance

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2
Q

What does ANOVA compare ?

A

ANOVA compares the amount of variance caused by the manipulation (IV) vs random error

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3
Q

What is the F-ratio for 1-way ANOVA ?

A

F = between groups Variance/Within groups variance
which equals
manipulation + error/error

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4
Q

What is One-way ANOVA ?

A

An inferential parametric statistical test for comparing the means of 3 or more groups using a between-subject design
* Only one independent variable

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5
Q

What is between-groups variance vs within groups variance ?

A
  • Between group: An estimate of the effect of the independent variable and error variance
  • Within-groups: An estimate of the population error variance
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6
Q

What occurs when the manipulation does or does not have an effect ?

A
  • Does: F-ratio score is significantly above 1
  • Does not: F-ratio score equals 1
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7
Q

What in involved in a One-way ANOVA source table

A
  • Between: variability due to IV
  • Within: inherrent variability (error)
  • Total: use this an error check for out SS and df calculation
  • SS: sums of sqaures
  • df: degrees of freedom
  • MS: mean squares
  • Fcalc: the calculated value of F
  • Fcrit: the critical (table value) of F
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8
Q

When is there a significant effect in a one-way ANOVA test ?

A

When Fcalc is greater than Fcrit
* at least one group that is different from the rest

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9
Q

What is used to calculate the effect size in a one-way ANOVA ?

A

eta-squared: n2
* SSB/SST

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10
Q

What are the assumptions of 1-way ANOVA ?

A
  1. The data (DV) are on an interval or ratio scale
  2. The underlying distribution is normally distributed
  3. The variance among the groups being compared are homogenous (homogeneity of variance)
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11
Q

When do you use multiple comparisons or post hoc tests ?

A

Use them to compare all possible pairs of groups to determine which ones differ significantly from each other

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12
Q

When do you use Turkey honestly significant difference (HSD) test ?

A

Used to make pairwise comparisons when the different levels have equal n

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13
Q

How do you use the HSD value?

A
  1. Find the mean of each group
  2. For each pair of comparison, if the value of difference is greater than the HSD, then there is a significant difference b/w this pair of means (ignore the signs)
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