DataAnalysis2 xDataAnalysis xMilestone111 xProgramFrequenciesData x
- Type of paperEssay (Any Type)
- SubjectOther
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Research TOPIC: DBT Intervention on Substance Abuse Population USING THE UPLOADED TABLES AND GRAPHS, RESPOND TO THE QUESTION BELOW I. Results (1–2 pages A. Using desсrіptive statistics, describe the demographic characteristics of your sample, e.g., age, race, sex, and so forth. B. Using at least one or more statistical tests you think appropriate, describe the results of your data analysis to answer your evaluation question(s). II. Discussion of Results (2–3 pages) A. What do these findings mean? What could account for these findings other than the intervention? B. How do the limitations of the study (the design, instrument, sample, reliability, validity) influence findings?
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
|
Freq |
Col % |
||||||||||||||||
Age Group |
< 20 |
309 |
20.6% |
|||||||||||||||
20-29 |
189 |
12.6% |
||||||||||||||||
30-39 |
176 |
11.7% |
||||||||||||||||
40-64 |
390 |
26.0% |
||||||||||||||||
65+ |
436 |
29.1% |
||||||||||||||||
Gender |
Male |
7 69 |
51.3% |
|||||||||||||||
Female |
731 |
48.7% |
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7% From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM All data in table included - no filtering Freq Col % Age Group < 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included – no filtering
Country |
|||||||||||
Japan |
Italy |
Germany |
TOTAL |
||||||||
63 |
13.5% |
141 |
27.8% |
105 |
19.9% |
||||||
66 |
14.2% |
54 |
10.7% |
69 |
13.1% |
||||||
53 |
10.5% |
60 |
11.4% |
||||||||
116 |
24.9% |
135 |
26.6% |
139 |
26.4% |
||||||
158 |
33.9% |
124 |
24.5% |
154 |
29.2% |
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included – no filtering
Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”
p value: < 0.001 (1.359e-5)
1
Pearson’s Chi Square statistic: 36.606
Degrees of Freedom (df): 8
Obs |
Exp |
||||||
96.0 |
104.4 |
108.6 |
309.0 |
||||
58.7 |
63.9 |
66.4 |
189.0 |
||||
54.7 |
59.5 |
61.8 |
176.0 |
||||
121.2 |
131.8 |
137.0 |
390.0 |
||||
135.5 |
147.4 |
153.2 |
436.0 |
||||
466 |
466.0 |
507 |
507.0 |
527 |
527.0 |
1500 |
1500.0 |
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.
|
Freq |
Col % |
|||||||||
Age Group |
< 20 |
309 |
20.6% |
||||||||
20-29 |
189 |
12.6% |
|||||||||
30-39 |
176 |
11.7% |
|||||||||
40-64 |
390 |
26.0% |
|||||||||
65+ |
436 |
29.1% |
|||||||||
Gender |
Male |
769 |
51.3% |
||||||||
Female |
731 |
48.7% |
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%
From sofa_db.demo_tbl on
0
3
/0
6
/
2
0
1
8
at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
<
20
309
20.6%
20-29
18
9
12.6%
30-39
176
11.7%
4
0-64
390
2
6.0
%
6
5
+
436
29.1%
Gender
Male
7
69
51.3%
Female
731
4
8.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 2
6.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390
26
.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included – no filtering
Country
Japan
Italy
Germany
TOTAL
Freq
Col %
Freq
Col %
Freq
Col %
Freq
Col %
Age Group
< 20
63
13.5%
14
1
27.8%
10
5
19.9%
309
20.6%
20-29
66
14.2%
54
1
0.7
%
13.1%
189
12.6%
30-39
63
13.5%
53
10.5%
60
1
1.4
%
176
11.7%
40-64
116
24
.9%
135
26.6%
139
2
6.4
%
390
26.0
%
65+
158
33.9%
124
24.5%
154
2
9.2
%
436
29.1%
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included – no filtering
Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”
p value: <
0.0
01 (1.359e-5)
1
Pearson’s Chi Square statistic: 36.606
Degrees of Freedom (df): 8
TOTAL |
|||||||||||||||||||||
Obs |
Exp |
||||||||||||||||||||
96.0 |
104.4 |
108.6 |
309.0 |
||||||||||||||||||
58.7 |
63.9 |
66.4 |
189.0 |
||||||||||||||||||
54.7 |
59.5 |
6 1.8 |
176.0 |
||||||||||||||||||
12 1.2 |
131.8 |
13 7.0 |
390.0 |
||||||||||||||||||
135.5 |
147.4 |
153.2 |
436.0 |
||||||||||||||||||
46 6 |
466.0 |
50 7 |
507.0 |
527 |
5 27.0 |
1500 |
1500.0 |
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.
Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age Group categories look from this the more likely the Chi Square test will detect a difference. Within each Age Group category the Country values add up to 1 i.e.
100
%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM
All data in table included – no filtering
Age |
2 1.0 |
20 |
2
0.0% |
||||||||||||||||||||||||||||||||||||||
2 2.0 |
18 |
18.0 % |
|||||||||||||||||||||||||||||||||||||||
2 3.0 |
|||||||||||||||||||||||||||||||||||||||||
2 4.0 |
14 |
1 4.0% |
|||||||||||||||||||||||||||||||||||||||
25 .0 |
|||||||||||||||||||||||||||||||||||||||||
26.0 | 6 | 6.0% | |||||||||||||||||||||||||||||||||||||||
27.0 | 2 |
2.0% |
|||||||||||||||||||||||||||||||||||||||
28.0 |
|||||||||||||||||||||||||||||||||||||||||
29.0 |
|||||||||||||||||||||||||||||||||||||||||
30.0 |
4 | 4.0% |
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering
Freq
Col %
Age
21.0
20
20.0
%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:24 PM
All data in table included – no filtering
Racethn |
||||||||||||||||||||||||||||
1.0 |
2.0 |
3.0 |
||||||||||||||||||||||||||
30.0% |
10 |
21.7% |
11.8% |
|||||||||||||||||||||||||
10.0% |
8 |
17.4% |
23.5% |
|||||||||||||||||||||||||
13.0 % |
||||||||||||||||||||||||||||
0 | 0.0% | |||||||||||||||||||||||||||
8.7% | ||||||||||||||||||||||||||||
4.3% |
||||||||||||||||||||||||||||
5.9% |
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:30 PM
All data in table included – no filtering
Results of Pearson’s Chi Square Test of Association Between “Age” and “Racethn”
p value: 0.01772
1
Pearson’s Chi Square statistic:
32
.785
Degrees of Freedom (df): 18
2.0 | |||||||||
4.0 | 9.2 |
6.8 |
20.0 | ||||||
3.6 |
8.3 |
6.1 |
18.0 | ||||||
2.8 |
6.4 |
4.8 |
14.0 | ||||||
1.2 | 6.0 | ||||||||
0.4 |
0.9 |
0.7 | |||||||
0.8 |
1.8 | 1.4 | |||||||
46 |
46.0 |
34 |
34.0 |
100 |
100.0 |
Minimum expected cell count: 0.4
% cells with expected count < 5: 73.3
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.
Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age categories look from this the more likely the Chi Square test will detect a difference. Within each Age category the Racethn values add up to 1 i.e. 100%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:38 PM
All data in table included – no filtering
Results of Pearson’s Chi Square Test of Association Between “Uscreen” and “Group”
p value: < 0.001 (1.984e-8) 1
Pearson’s Chi Square statistic: 4
1.5
38
Degrees of Freedom (df): 4
Group |
|||||
Uscreen |
0.0 |
12.5 |
5 | 25 | |
24 |
16.0 |
32 |
32.0 |
||
13.0 | 26 | ||||
7.0 | |||||
1.5 | 3 | ||||
50 |
50.0 |
Minimum expected cell count: 1.5
% cells with expected count < 5: 20.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.
From sofa_db.demo_tbl on 03/0
6
/
2
0
18
at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
<
20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
4
0-64
390
26.0
%
65+
436
29.1%
Gender
Male
7
69
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering
Freq
Col %
Age Group
< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included – no filtering
Country |
|||||||||||
Japan |
Italy |
Germany |
TOTAL |
||||||||
63 |
13.5% |
14 1 |
27.8% |
105 |
19.9% |
||||||
66 |
14.2% |
54 |
10.7% |
69 |
13.1% |
||||||
53 |
10.5% |
60 |
11.4% |
||||||||
116 |
24.9% |
135 |
26.6% |
139 |
26.4% |
||||||
158 |
33.9% |
124 |
24.5% |
154 |
29.2% |
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included – no filtering
Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”
p value: < 0.001 (1.359e-5)
1
Pearson’s Chi Square statistic: 36.606
Degrees of Freedom (df): 8
Obs |
Exp |
||||||
96.0 |
104.4 |
108.6 |
309.0 |
||||
58.7 |
63.9 |
66.4 |
189.0 |
||||
54.7 |
59.5 |
61.8 |
176.0 |
||||
121.2 |
131.8 |
137.0 |
390.0 |
||||
135.5 |
147.4 |
153.2 |
436.0 |
||||
466 |
466.0 |
507 |
507.0 |
527 |
5 27.0 |
1500 |
1500.0 |
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.
Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age Group categories look from this the more likely the Chi Square test will detect a difference. Within each Age Group category the Country values add up to 1 i.e. 100%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM
All data in table included – no filtering
Age |
21.0 |
20 |
20.0% |
|||||||||||||||||
22.0 |
18 |
18.0% |
||||||||||||||||||
23.0 |
||||||||||||||||||||
24.0 |
14 |
1 4.0% |
||||||||||||||||||
25.0 |
||||||||||||||||||||
26.0 | 6 | 6.0% | ||||||||||||||||||
27.0 | 2 |
2.0% |
||||||||||||||||||
28.0 |
||||||||||||||||||||
29.0 |
||||||||||||||||||||
30.0 |
4 | 4.0% |
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%