CA 2 - Worksheet Revised beth
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CUNY Queensborough Community College *
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248
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Medicine
Date
Feb 20, 2024
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docx
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6
Uploaded by DeanKangaroo5620
CA # 2
Summer 2023
ANOVA and Correlation and Regression
The emotion, frustration, is most often associated with the public display of aggression. Moreover, frustration and disappointment are often experienced when applying for acceptance to
Colleges and Universities.
The Socioeconomic Disadvantage (S.E.D) scale, developed at the University of California, Davis, School of Medicine, was designed to evaluate applicants based on their life circumstances, including family income and parents’ education. The aim of this scale is to increase the levels of diversity at institutions such as UC Davis’s School of Medicine. The scale is used in the Admissions process.
During, and after, the admission process, in addition to dealing with feelings of Frustration/Aggression, applicants also experience feelings of Personal Relative Deprivation (P.R.D), which is conceptualized as being prevented from achieving a goal.
The following fictional data, presented below, should be used to answer the following questions.
1.What role did Feedback (0 = Rejection; 1 = Acceptance; 3 = Pending) play in feelings of Frustration/Aggression during the admission process? Use a One-Way ANOVA to analyze the data. Include ANOVA Summary Table in your submission.
Descriptive Statistics
Descriptive Statistics Aggression
0
1
2
Valid
12
13
11
Missing
0
0
0
Mean
38.667 34.769 36.000
Std. Deviation
5.852 11.330
8.258
Minimum
29.000 13.000 20.000
Maximum
46.000 48.000 45.000
ANOVA
ANOVA - Aggression Cases
Sum of Squares
df
Mean Square
F
p
Feedback
97.915
2
48.957
0.622
0.543
Residuals
2598.974
33
78.757
1
ANOVA - Aggression Cases
Sum of Squares
df
Mean Square
F
p
Note.
Type III Sum of Squares
According to the results, there was no statistically significant relationship between aggressive feedback. Hence, emotions of Aggression throughout the Admissions Process are Not Significantly Influenced by Feedback. 2. What happens when your parents’ highest level of education (1= H.S.; 2 = College; 3 = Graduate) is as an additional factor
in your Frustration/Aggression at the admission process?
There were no statistically significant differences between the main effects of education and aggressive behavior. Furthermore, there was no statistically significant association between education and aggressive behavior. As a result, the highest level of education attained by parents has little bearing on Frustration/Aggression throughout the Admissions Process. 3.Use a Two-Way ANOVA to analyze the data. Include ANOVA Summary Table in your submission.
a.
How are S.E.D, Personal Perception of Deprivation, Family Income, and Aggression (inter)related to/with the Admission Process?
Correlation
Pearson's Correlations Variable
S. E. D Per.Rel. Dep.
Incom
e
Aggression
1. S. E. D
Pearson's r
—
p-value
—
2. Per. Rel. Dep. Pearson's r
-0.174
—
p-value
0.309
—
3. Income
Pearson's r
-0.548
0.383
—
p-value
< .001
0.021
—
4. Aggression
Pearson's r
-0.030
0.109
0.045
—
p-value
0.861
0.526
0.795
—
S.E.D, Personal Perception of Deprivation, Family Income, and Aggression (inter)related to/with
the Admission Process 2
3. Use Regression
, then Classical,
Correlation
to analyze the relationships among the above-
mentioned four variables. Select “Flag significant correlations. Are there any significant correlations? What do these significant correlations show?
Correlation
Pearson's Correlations
Pearson's r
p
S. E. D
- Per. Rel. Dep.
-0.174
0.309
S. E. D
- Income
-0.548*** < .001
S. E. D
- Aggression
-0.030
0.861
Per. Rel. Dep. - Income
0.383*
0.021
Per. Rel. Dep. - Aggression
0.109
0.526
Income
- Aggression
0.045
0.795
* p < .05, ** p < .01, *** p < .001
It shows the correlations the correlations between Aggression and the other variables are not statistically significant. The significant correlations (p < 0.5) are not observed among
the mentioned variables.
b.
Use the same open data set to run two separate Regressions. Use S.E.D, and P.R.D, as dependent variables, and Income as Covariate. Paste the Coefficient Tables below. Linear Regression
Model Summary - S. E. D Mode
l
R
R²
Adjusted R² RMSE
H
₀
0.000
0.00
0
0.000 23.982
H
₁
0.548
0.30
0
0.280 20.355
ANOVA Model
Sum of Squares
df
Mean Square
F
p
H
₁
Regression
6042.281
1
6042.281
14.583
< .001
Residual
14087.275
34
414.332
Total
20129.556
35
Note.
The intercept model is omitted, as no meaningful information can be shown.
3
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Coefficients Mode
l
UnstandardizedStandard Error
Standardize
d
t
p
H
₀
(Intercept)
55.889
3.997
13.983 < .001
H
₁
(Intercept)
94.263
10.606
8.888 < .001
Income
-0.382
0.100
-0.548 -3.819 < .001
Linear Regression
Model Summary - Per. Rel. Dep. Model
R
R²
Adjusted R² RMSE
H
₀
0.000
0.000
0.000
7.983
H
₁
0.383
0.147
0.122
7.481
ANOVA Model
Sum of Squares
df
Mean Square
F
p
H
₁
Regression
327.406
1
327.406
5.850
0.021
Residual
1902.817
34
55.965
Total
2230.222
35
Note.
The intercept model is omitted, as no meaningful information can be shown.
Coefficients Mode
l
Unstandardized
Standard
Error
Standardized
t
p
H
₀
(Intercept)
36.778
1.330
27.64
4
< .001
H
₁
(Intercept)
27.845
3.898
7.144 < .001
Income
0.089
0.037
0.383
2.419 0.021
c.
Is Income a significant predictor of S.E.D, or P.R.D? Which of the two does Income
better predict? Regression analysis revealed that none of the independent variables (S.E.D, personal deprivation, household income) were significant predictors of aggression
.
ID #
Incom
e
Ed. level
Aggressio
n
Per. Rel. Dep.
Feedbac
k
S. E. D
1
58
3
29
25
0
56
2
134
1
38
39
2
43
3
90
1
45
50
1
73
4
54
2
33
45
2
80
4
5
132
1
42
37
1
88
6
92
2
39
27
2
98
7
141
1
46
47
0
45
8
95
3
42
40
0
52
9
90
3
45
34
0
56
10
90
3
30
30
0
75
11
145
1
35
41
0
34
12
56
1
19
45
1
89
13
84
2
37
28
1
67
14
92
1
46
39
1
53
15
80
1
43
43
2
45
16
98
2
48
28
1
78
17
93
2
45
31
2
34
18
200
2
20
33
2
21
19
81
2
40
34
0
50
20
62
3
13
37
1
98
21
79
3
44
29
2
57
22
131
1
41
55
1
20
23
118
3
43
31
0
35
24
114
1
42
44
0
46
25
94
3
22
32
1
30
26
101
1
45
53
1
67
27
95
2
43
29
0
55
28
151
1
34
44
1
80
29
85
2
45
37
2
67
30
84
3
29
29
2
45
31
72
2
31
26
1
67
32
173
3
33
48
0
12
33
56
2
36
32
0
95
34
80
2
28
33
2
64
35
150
1
29
58
1
12
36
71
3
32
27
2
25
SUMMARY
What are your overall conclusions on the process? Use APA to report significant findings ANOVAs, (include Post hoc results; if appropriate), Correlations and Regressions
. Feelings of aggression were not significantly affected by feedback given during the admissions process. The Highest educational attainment of parents has little bearing on
aggression/frustration during the admissions process. S.E.D., personal deprivation, family income, and aggression do not significantly correlate with one another. Both S.E.D. and P.R.D. are significantly predicted by income, with a greater impact on S.E.D.
5
S.E.D. and P.R.D. scores are lower when income is higher. In contrast to feedback or parental input, socioeconomic factors (S.E.D., income) appear to have a greater impact on the admissions process.
6
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