18. A researcher investigates the effects of 5 levels of frustration (Factor A) and low vs high amounts of sleep deprivation (Factor B) on depression scores. There were 5 participants per group, and she obtained the following SS. SS df MS Source Between groups Factor A Factor B Interaction Within groups 109.25 Total 22.69 46.02 6.13 184.09 a. Complete the ANOVA summary table with df, MS, F's. b. Using the .05 level find critical F values for Factor A: df = _ CV = CV = for Factor B; df =

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18. A researcher investigates the effects of 5 levels of frustration (Factor A) and low vs
high amounts of sleep deprivation (Factor B) on depression scores. There were 5
participants per group, and she obtained the following SS.
SS
df
MS
F
Source
Between groups
Factor A
Factor B
Interaction
Within groups 109.25
Total
22.69
46.02
6.13
184.09
х
a. Complete the ANOVA summary table with df, MS, F's.
CV =
b. Using the .05 level find critical F values for Factor A: df =
CV =
for Factor B: df =
and for AxB Interaction: df =
CV =
c. Determine which of the 3 effects tested are significant. List the results: A sig? B sig?
AXB Int sig?
d. Compute effect size (eta-sq) for each significant factor found and include them in
your conclusion.
e. Write a conclusion - a sentence or 2 - to report the significance and the APA stats. As
always, mention the IV and DV in the conclusion and don't mention "reject the null" or
the critical values.
K=5 level of frustration, n=5 participants per group, N=K*n= 5*5%=25
Df-Within= N-K=25-5= 20, Df-between= K-1= 5-1=4,
Df (Factor A) = number of rows-1= 5-1 4
Transcribed Image Text:18. A researcher investigates the effects of 5 levels of frustration (Factor A) and low vs high amounts of sleep deprivation (Factor B) on depression scores. There were 5 participants per group, and she obtained the following SS. SS df MS F Source Between groups Factor A Factor B Interaction Within groups 109.25 Total 22.69 46.02 6.13 184.09 х a. Complete the ANOVA summary table with df, MS, F's. CV = b. Using the .05 level find critical F values for Factor A: df = CV = for Factor B: df = and for AxB Interaction: df = CV = c. Determine which of the 3 effects tested are significant. List the results: A sig? B sig? AXB Int sig? d. Compute effect size (eta-sq) for each significant factor found and include them in your conclusion. e. Write a conclusion - a sentence or 2 - to report the significance and the APA stats. As always, mention the IV and DV in the conclusion and don't mention "reject the null" or the critical values. K=5 level of frustration, n=5 participants per group, N=K*n= 5*5%=25 Df-Within= N-K=25-5= 20, Df-between= K-1= 5-1=4, Df (Factor A) = number of rows-1= 5-1 4
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