Question

If there are significant main effects in a 2 x 2 ANOVA, one should conduct post...

If there are significant main effects in a 2 x 2 ANOVA, one should conduct post hoc tests.

True or False?

Homework Answers

Answer #1

In a two way anova you do post-hoc tests in two situations:

1. If you have an interaction between the two factors

2. If you have an overall effect and the group has more than 2 variables.

For example:

1. Treatment (A, B, C) versus sex (male, female):

If you have a treatment x sex interaction, you can follow with a post-hoc and compare whatever you want.

2. you dont have an interaction, but you have an overall sex effect: in this case you dont need a post hoc because you only have two groups and the anova is telling you that one sex is higher the the other.

3. you dont have an interaction, but you have a treatment effect: in this case you can do a posthoc to compare A, B, C. This will tell you that one or two treatments are higher than the other REGARDLESS of sex.

If there are 2 levels in each variable, then we don't need to run post-hoc test.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
If you find two significant main effects in a 2 x 3 factorial design, should you...
If you find two significant main effects in a 2 x 3 factorial design, should you compute Tukey's post hoc comparisons for both? A 2 x 3 x 5 factorial design has how many possible main effects? How many conditions are in a 3 x 3 factorial design? What statistical test would I run to analyze the results of a 2 x 2 x 4 x 4 factorial design?
Week 8 Discussion Consider the different post hoc tests discussed in the readings and respond to...
Week 8 Discussion Consider the different post hoc tests discussed in the readings and respond to the following: Describe the general rationale behind using post hoc tests (i.e., when they are used and why). One of the advantages of using an ANOVA (compared to using t-tests) is also a disadvantage—using an ANOVA makes it necessary to use post hoc tests if there is a significant main effect. We use a post hoc test because there is one specific advantage in...
1. A “one-way” between-subjects ANOVA is conducted when data are recorded in one group. True False...
1. A “one-way” between-subjects ANOVA is conducted when data are recorded in one group. True False 2. Post hoc tests control for the total alpha level for a series of tests conducted on the same data. True False 3. All post hoc tests control for the effect size of a significant result. True False 4. A one-way between-subjects ANOVA is conducted to test for mean differences between the levels of two or more factors. True False 5. A researcher conducts...
What is a post-hoc test and why is it necessary to use one after a significant...
What is a post-hoc test and why is it necessary to use one after a significant ANOVA?
Suppose I get a significant ANOVA result on 4 types of oil. (pvalue less than .05)...
Suppose I get a significant ANOVA result on 4 types of oil. (pvalue less than .05) I now need to examine the post-hoc analysis (also called multiple comparison) Using the correction discussed in class what should be the alpha that I use in the following 2 sample t-tests?
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task...
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task type), B (task difficulty), or the AB interaction (alpha = .01). Conduct Tukey HSD post-hoc comparison. The following are the scores from the individual cells of the model: A₁B₁: 41, 39, 25, 25, 37, 51, 39, 101 A₁ B₂: 46, 54, 97, 93, 51, 36, 29, 69 A₁ B₃: 113, 135, 109, 96, 47, 49, 68, 38 A₂ B₁: 86, 38, 45, 45, 60,...
Answer the one-way ANOVA questions using the data below. Use α = 0.01. 1 2 3...
Answer the one-way ANOVA questions using the data below. Use α = 0.01. 1 2 3 4 53 49 47 44 51 34 44 44 39 36 36 39 30 12 46 42 39 37 36 34 30 25 35 30 40 33 28 31 Conduct Tukey's Post Hoc Test for the following comparisons: 3 vs. 4: difference =  ; significant:  ---Select--- Yes No 2 vs. 4: difference =  ; significant:  ---Select--- Yes No f) Conduct Scheffe's Post Hoc Test for the following comparisons:...
Question 9 If you conduct a One-Way ANOVA in SPSS and it is significant, which of...
Question 9 If you conduct a One-Way ANOVA in SPSS and it is significant, which of the following statements is true? not all population means are equal it does not indicate which groups significantly differ from others all statements are true reject the null hypothesis Question 7 In an ANOVA, the higher the F ratio, the more likely you are to make a Type I Error make a Type II Error correctly reject the null hypothesis correctly accept the null...
1)    If an interaction term is significant, one should attempt to interpret the significance of main...
1)    If an interaction term is significant, one should attempt to interpret the significance of main parameter effects by themselves/in isolation. True or False -------------------------------------------------------------------- -------------------------------------------------------------------- 2) If you observe high levels of correlation between interaction terms and main parameter effects, what should you do? a) Remove the interaction terms. b) Include more interaction terms. c) Test for non-normality and sources of residual error. d) Remove some of the main parameters. e) Nothing - high levels of correlation between interaction...
1. What are the differences between planned contrasts (or planned comparisons) and post hoc tests? Why...
1. What are the differences between planned contrasts (or planned comparisons) and post hoc tests? Why are they used after performing a one-way ANOVA? How do you decide which to use of the two types of follow-up tests? 2. What are the main differences between between- and within-groups one-way ANOVAs? What determines which type of test should be used? Which is a stronger test and why?