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Continue working in the document you began for Part I. You will be entering and analyzing the data in the table below using SPSS. The data contain estimated hours of Internet usage for samples from three socioeconomic status (SES) groups. Name the first variable SES and label it “Socioeconomic Status.” Use the value labels of 3 = High SES, 2 = Middle SES, and 1 = Low SES. Name the dependent variable Internet and label it “Hours of Internet Usage (Weekly).”
Table 7
Analysis of Variance Data
Participant
SES
Codes
Hours
1
High
3
10
2
High
3
12
3
High
3
11
4
High
3
15
5
Middle
2
14
6
Middle
2
13
7
Middle
2
10
8
Middle
2
12
9
Low
1
9
10
Low
1
11
11
Low
1
8
12
Low
1
12
Test assumptions. Are the assumptions violated?
Using SPSS, conduct a one-way ANOVA to test for differences in hours of Internet usage between the different SES groups. After conducting the ANOVA using SPSS, be sure to present the findings in the SPSS table format.
What is the mean for the low-SES group?
What is the mean for the middle-SES group?
What is the mean for the high-SES group?
What is the F statistic?
What is the value of the associated probability?
Report the results in a narrative using APA format.
What can be concluded from these results? (Hint: The decision about the null hypothesis.)
Discuss how, as a researcher, you could turn this into a MANOVA (using the same ANOVA example presented for this analysis
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