In: Math
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
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)