Chapter 22 Multi-Level Analysis (625-635) Flashcards
1
Q
Analysis of Variance (ANOVA) (3)
A
- Statistical technique that
- Compares variances within and between samples
- In order to estimate the significance of differences between a set of means
2
Q
Capitalising on Chance (4)
A
- Making too many tests
- With alpha set at .05
- On the same data,
- Hence increasing the likelihood of a Type I error
3
Q
Within Groups Sum of Squares (4)
A
- Sum of squares
- of deviations of scores
- around their sample means.
- Also: error SS.
4
Q
Within Groups Variance (3)
A
- Total variance of scores
- around sample means.
- Also. error variance.
5
Q
Between Groups Variance (2)
A
- Variance of sample means
2. around grand mean.
6
Q
Grand Mean (2)
A
- Mean of all scores in a data set,
2. irrespective of conditions or groups
7
Q
Total Variance (2)
A
- Variance of all scores in a set
2. around their grand mean
8
Q
Error Variance (3)
A
- Total variance of all scores
- from their group means.
- Also: within groups variance.
9
Q
F test/ratio (1)
A
- Statistic giving ratio of between groups to within groups variance
10
Q
Sum of Squares (1)
A
- Addition of the squares of deviations around a mean
11
Q
Variance Ratio Test (1)
A
- Full name for the test producing the F statistic
12
Q
Mean Sum of Squares (1)
A
- Sum of squares divided by df
13
Q
Between Group Sum of Squares (1)
A
- Sum of squares of deviations of sample means from the grand mean
14
Q
Error Sum of Squares (2)
A
- Sum of squares of deviations of each score from its own group mean.
- Also: within group SS.
15
Q
Pairwise Comparison (2)
A
- Comparison of just two means
2. From a set of means