This paper circulates around the core theme of Create a new SPSS data file for these scores. Your file must have 2 variables: diagnosis and score. Your diagnosis variable must be set up as a 1-column grouping variable with 2 groups (diagnosis, no diagnosis) coded numerically. This will be much like th together with its essential aspects. It has been reviewed and purchased by the majority of students thus, this paper is rated 4.8 out of 5 points by the students. In addition to this, the price of this paper commences from £ 99. To get this paper written from the scratch, order this assignment now. 100% confidential, 100% plagiarism-free.
(SPSS) A criminal psychologist wants to examine the level of
narcissistic personality traits between those who are diagnosed with
antisocial personality disorder (ASPD) and those who do not qualify for
ASPD. She administers a measure of narcissistic personality traits where
higher scores indicate higher levels of narcissism and scores range
from 0–35.
ASPD Diagnosis
|
No ASPD Diagnosis
|
23
11
19
21
22
9
16
27
31
31
|
10
8
19
13
6
4
9
15
11
7
|
a. Create a new SPSS data file for these scores. Your file must have 2
variables: diagnosis and score. Your diagnosis variable must be set up
as a 1-column grouping variable with 2 groups (diagnosis, no diagnosis)
coded numerically. This will be much like the gender variable you
created in a previous module/week. For example, if you code ASPD
Diagnosis as 1 and No ASPD Diagnosis as 2, then the SPSS file will
appear somewhat like the following:
Column 1
|
Column 2
|
“Diagnosis”
|
“Score”
|
1
|
23
|
1
|
11
|
1
|
19
|
All ASPD Diagnosis scores from the table above will appear in a similar fashion.
Then, enter No ASPD Diagnosis information as:
Continue in this fashion to the end of the file.
b. Compute descriptive statistics by diagnosis (that is, for each of
the two groups in one table) using similar steps to those covered in
Green and Salkind’s Lesson 21 and in the Module/Week 3 presentation (HS
GPA scores by Gender). Paste this into your homework document.
c. Construct a boxplot to show the difference between the mean scores of the 2 groups.