ANOVA, One-factor independent measures ANOVA, Post-hoc, Planned Comparisons Flashcards

1
Q

What is ANOVA?

A

ANOVA (Analysis of Variance) is a statistical test used to compare the means of three or more groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is a one-way independent measures ANOVA?

A

A one-way independent measures ANOVA compares the means of three or more independent groups on one factor.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the F-ratio in ANOVA?

A

The F-ratio compares between-group variance to within-group variance. A higher F-ratio suggests significant differences between groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

When is a one-way ANOVA appropriate?

A

Use a one-way ANOVA when comparing the means of three or more independent groups on one factor.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are post-hoc tests?

A

Post-hoc tests are performed after ANOVA to determine which specific group means differ from each other, controlling for Type I error.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is Tukey’s HSD test?

A

Tukey’s HSD (Honestly Significant Difference) test is a post-hoc test used to make pairwise comparisons between group means.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are planned comparisons?

A

Planned comparisons (also called contrasts) are specific hypotheses developed before data collection that test differences between certain groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How are contrast weights used in planned comparisons?

A

Contrast weights assign values to group means based on their hypothesized relationships, helping focus the comparison on specific groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

How do you interpret the results of a planned comparison?

A

If the p-value is less than 0.05, the planned comparison indicates that the group difference tested is statistically significant.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly