Question

In: Math

How does gender and occupational prestige affect credibility? Graduate students in a public health program are...

How does gender and occupational prestige affect credibility? Graduate students in a public health program are asked to rate the strength of a paper about the health risks of childhood obesity. In reality, all student raters are given the same paper, but the name and degree associated with the author are changed. The student raters are randomly assigned to one group from the following name ("John Lake", "Joan Lake") and degree (M.D., R.N., Ph.D.) combination. The raters score the paper from 1 to 5 on clarity, strength of argument, and thoroughness. The total scores (the sum of the three scores) are given in the table below. What can be concluded with an α of 0.05?

John Lake /
M.D.
John Lake /
R.N.
John Lake /
Ph.D.
Joan Lake /
M.D.
Joan Lake /
R.N.
Joan Lake /
Ph.D.
12
15
13
15
14
15
16
12
13
13
11
8
13
12
9
15
10
12
14
12
10
7
8
10
6
11
11
12
8
8

Compute the corresponding effect size(s) and indicate magnitude(s).
Name: η2 =   ;  ---Select--- na trivial effect small effect medium effect large effect  

Degree: η2 =   ;  ---Select--- na trivial effect small effect medium effect large effect  
Interaction: η2 =   ;  ---Select--- na trivial effect small effect medium effect large effect  

Solutions

Expert Solution

Name: η2 = 0.2221; large effect
Degree: η2 = 0.2229; large effect
Interaction: η2 = 0.18113; large effect

Explanation:

The data values are,

M.D. R.N. Ph.D.
John 12 15 11
15 16 8
13 12 13
15 13 12
14 13 9
Joan 15 10 11
10 7 11
12 8 12
14 10 8
12 6 8

The two way ANOVA table for the data table is shown below,

ANOVA
Source of Variation SS df MS F P-value F crit
Name 45.63333 1 45.63333 14.26042 0.000925 4.259677
Degree 45.8 2 22.9 7.15625 0.003651 3.402826
Interaction 37.26667 2 18.63333 5.822917 0.008678 3.402826
Within 76.8 24 3.2
Total 205.5 29

Now, the effect size for each factor and interaction is obtained as follows,

For factor Name,

The effect size value 0.2221 indicates that, 22.21% of the variance is account for by factor Name.

For factor Degree,

The effect size value 0.2221 indicates that, 22.29% of the variance is account for by factor Degree

For interaction,

The effect size value 0.1813 indicates that, 18.13% of the variance is account for by interaction of Name and Degree.

(The η2 value greater than 0.14 shows a large effect while η2 value around 0.01 shows a small effect and 0.06 shows a medium effect)


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