Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches. They tested differences by gender, age, marital status, and education. The results of each F-test in the following table are similar to the way in which the data were given in their article.
Independent Variables |
Life Satisfaction | |||
---|---|---|---|---|
M | SD | F | p | |
Gender | 0.68 | 0.409 | ||
Men | 3.99 | 0.51 | ||
Women | 3.94 | 0.49 | ||
Age | 3.04 | 0.029 | ||
20s | 3.85 | 0.42 | ||
30s | 4.03 | 0.52 | ||
40s | 3.97 | 0.57 | ||
50s | 4.02 | 0.50 | ||
Marital status | 12.46 | 0.000 | ||
Single | 3.85 | 0.48 | ||
Married | 4.10 | 0.50 | ||
Divorced | 4.00 | 0.35 | ||
Education | 0.82 | 0.536 | ||
High school | 3.92 | 0.48 | ||
Postsecondary | 3.85 | 0.54 | ||
University degree | 4.00 | 0.51 | ||
Masters | 4.00 | 0.59 |
(a) Which factors were significant at a 0.05 level of significance? (Select all that apply.)
education
gender
age
marital status
(b) State the number of levels for each factor.
gender | levels | |
age | levels | |
marital status | levels | |
education | levels |
ANSWER::
Solution-a:
alpha=0.05
For gender,p=0.409
p>0.05
Not significant at 5% level of significance
For marital status,p=0.000
p<0.05
significant at 5% level of significance
For Age
p=0.029
p<0.05
significant at 5% level of significance
For Education
p=0.536
p>0.05
Not significant at 5% level of significance.
AGE
MARITAL STATUS are signifcant at 5%
So answer:
AGE
MARITAL STATUS
Solution-b:
Gender = 2 [Men, Women]
Age = 4 [20s, 30s, 40s, 50s]
marital status : 3 [ Married, Unmarried, Divorced]
Education : 4 [ High School Post-secondary, University Degree, Masters]
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