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. 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.
