When and why do we use Independent One-way ANOVA?

L1 ANOVA Practices

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Other
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University
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Hard
Emily Khoo
Used 10+ times
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22 questions
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1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
To compare more than 2 means
To be used on studies with more than 2 IV levels and 1 DV
When IV is continuous
To be used on studies with more than 1 IV levels
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Why do we use ANOVA instead of t-test?
Using several t-tests increases Type I error
Using several t-tests increases Type II error
Using several t-tests decreases Type I error
Using several t-tests decreases Type II error
3.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
What are the assumptions for independent one-way ANOVA?
Assumption of Normality
Assumption of Homogeneity of Variances
Assumption of paired samples correlation
Assumption of Sphericity
4.
MULTIPLE SELECT QUESTION
1 min • 1 pt
Which of the following is correct about the F statistic of independent one-way ANOVA?
(between-groups variability) / (within-groups variability)
Effect / Error
Ideally, F should exceed 1
F statistic determines whether variation due to IV is larger than would be expected on the basis of error variation alone
5.
MULTIPLE SELECT QUESTION
1 min • 1 pt
If the assumption of homogeneity of variances is violated, and sample sizes are unequal in independent one-way ANOVA, what should we proceed with?
Refer to Welch's F for statistical test
Refer to Games-Howell for post hoc test
Refer to Bonferroni for post hoc test
Refer to Greenhouse-Geisser for statistical test
6.
MULTIPLE SELECT QUESTION
1 min • 1 pt
Which of the following is the F statistic of repeated measures one-way ANOVA
effect / error
(Between-groups variability with no individual differences possible) / (within-groups variability with individual differences removed)
F is significant when < .05
F is ideal when < .001
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What of the following is/are assumptions of repeated measures one-way ANOVA?
Homogeneity of Variances
Homogeneity of Sphericity
Assumption of Normality
Pearson's correlation
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