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Cosmetic surgery study. Data files cosmetic_surgery.sav (spss file) and cosmetic_surgery.xlsx (excel data file) contain data from a hypothetical study of quality of life of cosmetic

Cosmetic surgery study. Data files cosmetic_surgery.sav (spss file) and cosmetic_surgery.xlsx (excel data file) contain data from a hypothetical study of quality of life of cosmetic surgery patients (data file from A. Field). Variables include BDI (Beck Depression Inventory score with possible range 0-63, higher score indicating greater depression symptomotology), Base_QOL (quality of life score at baseline with higher score indicating greater perceived QOL), and Post_QOL (QOL score at followup). Coding for categorical variables is the following: Surgery 0=waiting list 1=surgery

1. Research Question: Is there a significant difference in the quality-of-life (QOL) scores between cosmetic surgery patients who underwent surgery?

2. Examine data characteristics that could affect the appropriateness of your choice of analysis method and/or how you interpret results (e.g. missing data, normal distributions, outliers).

3. Give measurement level of each variable in the analysis; include an example of at least one of the relevant descriptive stats (e.g. something you've used to determine if lots of missing data or substantial non-normality; means on the dependent variable by group to help interpret results, etc.)

4. Examine assumptions of method/model (if there are any in addition to measurement level). Examine major assumptions and what could be done to remedy if serious violation.

5. Summarize and interpret results in relation to the research question/hypothesis stated in question #1 above. Use results to answer research question, interpreting major results details (e.g. not just model significance, but also what coefficients mean, magnitude and direction of differences, etc.)

6. Further examine issues that might affect the interpretation of results. Comment on any data or analysis issues you can identifydo further examination on at least one issue or analysis extension (e.g. post hoc comparisons, estimating reduced or alternative model).

7. Apply the following statistical methods:

  1. t-test to assess assess the difference between 2 means - Post-QOL and Base QOL.
  2. Non-parametric equivalent to independent t-test (Mann-Whitney).
ID Post_QoL Base_QoL Surgery
9 61.5 80.0 1
18 61.1 73.0 1
19 56.0 66.0 1
20 63.0 61.0 1
27 72.0 73.0 1
35 68.3 72.0 1
36 65.0 73.0 1
37 70.7 70.0 1
38 67.0 76.0 1
50 73.9 71.0 1
51 58.0 79.0 1
52 57.0 63.0 1
53 60.0 62.0 1
54 52.0 65.0 1
55 53.0 57.0 1
56 54.4 58.0 1
57 56.0 59.0 1
58 52.0 61.0 1
59 66.0 57.0 1
60 58.0 71.0 1
61 55.0 63.0 1
69 57.0 71.0 1
70 51.0 62.0 1
71 56.0 56.0 1
72 64.0 61.0 1
73 58.0 69.0 1
74 53.0 63.0 1
75 57.3 58.0 1
76 59.0 62.0 1
77 61.0 64.0 1
89 64.7 58.0 1
90 67.0 70.0 1
96 60.2 74.0 1
97 53.0 65.0 1
98 51.0 58.0 1
100 51.0 65.0 1
101 54.0 56.0 1
104 54.0 55.0 1
108 60.4 56.0 1
109 64.0 65.0 1
110 61.0 69.0 1
112 55.0 61.0 1
113 55.0 60.0 1
115 64.0 75.0 1
116 66.0 69.0 1
118 52.0 72.0 1
119 52.0 57.0 1
120 49.0 57.0 1
122 59.0 70.0 1
123 53.0 64.0 1
125 59.0 77.0 1
126 57.0 64.0 1
131 69.0 76.0 1
132 64.0 74.0 1
136 68.5 61.0 1
137 54.0 74.0 1
138 71.8 59.0 1
139 65.0 77.0 1
140 67.0 70.0 1
141 70.4 72.0 1
142 62.0 75.0 1
143 64.0 67.0 1
144 63.0 69.0 1
145 53.0 68.0 1
146 55.0 58.0 1
150 67.4 57.0 1
151 57.0 72.0 1
152 58.0 62.0 1
156 62.4 65.0 1
157 59.0 67.0 1
158 63.0 64.0 1
162 62.0 53.0 1
163 68.0 67.0 1
164 73.0 73.0 1
165 60.6 78.0 1
166 59.0 66.0 1
167 60.0 64.0 1
168 63.9 65.0 1
169 56.0 69.0 1
173 49.8 53.0 1
174 52.0 55.0 1
175 55.0 57.0 1
176 63.8 60.0 1
177 53.0 69.0 1
178 47.0 58.0 1
190 53.0 53.0 1
191 56.7 58.0 1
192 48.0 62.0 1
193 48.0 53.0 1
194 56.8 53.0 1
195 53.0 62.0 1
196 56.0 58.0 1
197 66.8 61.0 1
198 51.0 72.0 1
199 53.0 56.0 1
200 61.7 58.0 1
201 51.0 67.0 1
202 54.0 56.0 1
203 63.6 59.0 1
204 60.0 69.0 1
205 59.0 65.0 1
216 47.0 65.0 1
217 49.0 52.0 1
218 63.8 54.0 1
219 53.0 69.0 1
220 58.0 58.0 1
227 57.1 57.0 1
228 65.0 62.0 1
229 66.0 70.0 1
230 68.4 71.0 1
231 58.0 73.0 1
232 62.0 63.0 1
234 46.0 59.0 1
235 50.0 51.0 1
236 67.1 55.0 1
237 60.0 72.0 1
238 67.0 65.0 1
240 68.0 68.0 1
241 68.0 73.0 1
242 66.7 73.0 1
249 62.7 56.0 1
250 57.0 68.0 1
251 57.0 62.0 1
258 73.9 59.0 1
259 57.8 79.0 1
260 52.0 63.0 1
261 60.0 57.0 1
270 53.0 63.0 1
271 66.3 58.0 1
272 55.0 71.0 1
273 64.0 60.0 1

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