Running head: SPSS DESCPRITIVE
SPSS Descriptive Statistics Assignment
Deborah R. Davis
Liberty University
SPSS DESCRIPTIVE
The purpose of this document is to provide a response to the first SPSS assignment, that
for descriptive statistics. The research scenario was given as a part of the assignment, and
presumes leaders of colleges and universities are seeking ways to develop and maintain online
and blended programs (Szapkiw, 2014, p. 2). This particular assignment required the use of
SPSS to “explore the data using measures of central tendency, measures of dispersion, and
measures of relative position” (Szapkiw, 2014, p. 5).
Structure
In that there are four sections to this assignment and it is a small college paper, it will
only use the first two levels of headings, and it will be separated by assignment section.
Results part 1
This particular assignment required elements to be presented from the data set provided.
An SPSS analysis of the mean, median, standard deviation variance, and range for the perceived
learning variable was performed.
Table 1.
Descriptive Statistics for the Perceived Learning Variable (N = 40)
M
Mdn
SD
V
Range
37.43
42.5
13.864
192.199
42
Results part 2
The second part of the assignment was to use SPSS to formulate a histogram for this
variable with purple bars and normal curve displayed. Being colorblind, acquiring purple bars
was a trying ordeal, and the reality of the result may be curious.
2
SPSS DESCRIPTIVE
Table 2.
Histogram for perceived learning variable with purple bars and normal curve displayed
3
SPSS DESCRIPTIVE
4
Results part 3
The requirement for the third part represented some challenges as the various descriptive
statistics were to be calculated considering gender. Also, the interquartile ranges were to be
included. In these charts, note the total N = 40 which each subset is isolated.
Table 3a.
Descriptive Statistics for the Perceived Learning Variable (N = 40)
n
M
Mdn
SD
V
Range
Females
20
42.25
47.00
10.818
117.039
29
Males
20
32.60
34.50
15.115
228.463
42
Table 2
Descriptives for the Community Pretest for each Gender (N= 40)
Female (n=20)
Mean
Median
Range
Male (n=20)
Interquartile
Mean
Median
Range
ranges
Learning
42.25
47.00
29
21
Interquartile
ranges
32.60
34.50
42
30
Table 3b.
Interquartile Ranges for Descriptive Statistics for the Perceived Learning Variable (N = 40)
n
1st
2nd
3rd
95%
Females
20
29.75
47.00
50.75
54
Males
20
16.50
34.50
46.50
53.90
SPSS DESCRIPTIVE
Results part 4
The last piece of the assignment required the P10, P20, P30, P40, and P95 for total
perceived learning variable and an interpretation of the meaning of P95.
Table 5.
Various Required Percentages for the Perceived Learning Variable (N = 40)
P10
P20
P30
P40
P95
16.00
22.60
27.00
33.20
54.00
To interpret the 95th percentile is to say that score is at or above 95 percent of the other
scores in the distribution. Conversely, one could say that five percent of the scores in the
distribution were above 54.00.
5
SPSS DESCRIPTIVE
References
Szapkiw, A. (2014). Spss assignment instructions. In Lynchburg, VA: Liberty University.
Retrieved from http://amandaszapkiw.com/elearning/writing/downloads/ReportingStatisical-Results-in-APA-Format.pdf
6
SPSS DESCRIPTIVE
Appendix
SPSS Output
GET
FILE='C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_Data_Set.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
FREQUENCIES VARIABLES=Perceived_CAP_Learning_Scale
/NTILES=4
/NTILES=10
/PERCENTILES=95.0
/STATISTICS=STDDEV VARIANCE RANGE MEAN MEDIAN MODE
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created
21-JAN-2014 13:23:37
Comments
C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_D
Data
ata_Set.sav
Input
Active Dataset
DataSet1
Filter
<none>
7
SPSS DESCRIPTIVE
Weight
<none>
Split File
<none>
N of Rows in Working Data File
40
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on all cases with valid data.
Missing Value Handling
FREQUENCIES VARIABLES=Perceived_CAP_Learning_Scale
/NTILES=4
/NTILES=10
Syntax
/PERCENTILES=95.0
/STATISTICS=STDDEV VARIANCE RANGE MEAN MEDIAN
MODE
/ORDER=ANALYSIS.
Processor Time
00:00:00.02
Elapsed Time
00:00:00.08
Resources
[DataSet1] C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_Data_Set.sav
Statistics
Perceived_CAP_Learning_Scale
Valid
40
N
Missing
Mean
0
37.43
8
SPSS DESCRIPTIVE
Median
42.50
Mode
45
Std. Deviation
13.864
Variance
192.199
Range
42
10
16.00
20
22.60
25
25.50
30
27.00
40
33.20
50
42.50
60
46.20
70
48.00
75
50.00
80
50.80
90
53.00
95
54.00
Percentiles
Perceived_CAP_Learning_Scale
Frequency
Percent
Valid Percent
Cumulative Percent
12
1
2.5
2.5
2.5
14
1
2.5
2.5
5.0
Valid
9
SPSS DESCRIPTIVE
15
1
2.5
2.5
7.5
16
2
5.0
5.0
12.5
18
1
2.5
2.5
15.0
19
1
2.5
2.5
17.5
22
1
2.5
2.5
20.0
25
2
5.0
5.0
25.0
27
3
7.5
7.5
32.5
29
2
5.0
5.0
37.5
32
1
2.5
2.5
40.0
35
1
2.5
2.5
42.5
40
3
7.5
7.5
50.0
45
4
10.0
10.0
60.0
47
3
7.5
7.5
67.5
48
2
5.0
5.0
72.5
50
3
7.5
7.5
80.0
51
2
5.0
5.0
85.0
52
1
2.5
2.5
87.5
53
2
5.0
5.0
92.5
54
3
7.5
7.5
100.0
40
100.0
100.0
Total
* Chart Builder.
GGRAPH
10
SPSS DESCRIPTIVE
/GRAPHDATASET NAME="graphdataset" VARIABLES=Perceived_CAP_Learning_Scale
MISSING=LISTWISE REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Perceived_CAP_Learning_Scale=col(source(s), name("Perceived_CAP_Learning_Scale"))
GUIDE: axis(dim(1), label("Perceived_CAP_Learning_Scale"))
GUIDE: axis(dim(2), label("Frequency"))
ELEMENT: area(position(summary.count(bin.rect(Perceived_CAP_Learning_Scale))), missing.wings())
ELEMENT: line(position(density.normal(Perceived_CAP_Learning_Scale)), color("Normal"))
END GPL.
* Chart Builder.
GGRAPH
/GRAPHDATASET NAME="graphdataset" VARIABLES=Perceived_CAP_Learning_Scale
MISSING=LISTWISE REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Perceived_CAP_Learning_Scale=col(source(s), name("Perceived_CAP_Learning_Scale"))
GUIDE: axis(dim(1), label("Perceived_CAP_Learning_Scale"))
GUIDE: axis(dim(2), label("Frequency"))
ELEMENT: interval(position(summary.count(bin.rect(Perceived_CAP_Learning_Scale))),
shape.interior(shape.square))
ELEMENT: line(position(density.normal(Perceived_CAP_Learning_Scale)), color("Normal"))
END GPL.
11
SPSS DESCRIPTIVE
GGraph
Notes
Output Created
21-JAN-2014 13:27:43
Comments
C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_D
Data
ata_Set.sav
Input
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
40
12
SPSS DESCRIPTIVE
GGRAPH
/GRAPHDATASET NAME="graphdataset"
VARIABLES=Perceived_CAP_Learning_Scale
MISSING=LISTWISE REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Perceived_CAP_Learning_Scale=col(source(s),
name("Perceived_CAP_Learning_Scale"))
Syntax
GUIDE: axis(dim(1), label("Perceived_CAP_Learning_Scale"))
GUIDE: axis(dim(2), label("Frequency"))
ELEMENT:
interval(position(summary.count(bin.rect(Perceived_CAP_Learni
ng_Scale))), shape.interior(shape.square))
ELEMENT:
line(position(density.normal(Perceived_CAP_Learning_Scale)),
color("Normal"))
END GPL.
Processor Time
00:00:00.30
Elapsed Time
00:00:00.31
Resources
[DataSet1] C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_Data_Set.sav
13
SPSS DESCRIPTIVE
USE ALL.
COMPUTE filter_$=(Sex = 1).
VARIABLE LABELS filter_$ 'Sex = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FREQUENCIES VARIABLES=Perceived_CAP_Learning_Scale
14
SPSS DESCRIPTIVE
/NTILES=4
/NTILES=10
/PERCENTILES=95.0
/STATISTICS=STDDEV VARIANCE RANGE MEAN MEDIAN MODE
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created
21-JAN-2014 13:29:35
Comments
C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_D
Data
ata_Set.sav
Input
Active Dataset
DataSet1
Filter
Sex = 1 (FILTER)
Weight
<none>
Split File
<none>
N of Rows in Working Data File
20
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on all cases with valid data.
Missing Value Handling
15
SPSS DESCRIPTIVE
FREQUENCIES VARIABLES=Perceived_CAP_Learning_Scale
/NTILES=4
/NTILES=10
Syntax
/PERCENTILES=95.0
/STATISTICS=STDDEV VARIANCE RANGE MEAN MEDIAN
MODE
/ORDER=ANALYSIS.
Processor Time
00:00:00.00
Elapsed Time
00:00:00.20
Resources
[DataSet1] C:\Users\Ken\Documents\liberty\educ712\SPSS_Assignment_Data_Set.sav
Statistics
Perceived_CAP_Learning_Scale
Valid
20
N
Missing
0
Mean
42.25
Median
47.00
Mode
Std. Deviation
Variance
Range
25a
10.818
117.039
29
16
SPSS DESCRIPTIVE
10
25.20
20
27.40
25
29.75
30
32.90
40
45.00
50
47.00
60
48.00
70
50.00
75
50.75
80
52.60
90
53.90
95
54.00
Percentiles
a. Multiple modes exist. The smallest value is
shown
Perceived_CAP_Learning_Scale
Frequency
Percent
Valid Percent
Cumulative Percent
25
2
10.0
10.0
10.0
27
2
10.0
10.0
20.0
29
1
5.0
5.0
25.0
32
1
5.0
5.0
30.0
Valid
17
SPSS DESCRIPTIVE
35
1
5.0
5.0
35.0
45
2
10.0
10.0
45.0
47
2
10.0
10.0
55.0
48
2
10.0
10.0
65.0
50
2
10.0
10.0
75.0
51
1
5.0
5.0
80.0
53
2
10.0
10.0
90.0
54
2
10.0
10.0
100.0
20
100.0
100.0
Total
18
USE ALL.
COMPUTE filter_$=(Sex = 2).
VARIABLE LABELS filter_$ 'Sex = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
Overall, well done. Please see my comments for a few needed areas of improvement.
SPSS Descriptive
Statistics Grading
Rubric
Criteria
Description
Statistical Procedure
#1
Candidate correctly reports the mean, median, standard deviation,
variance, and range for total perceived learning variable.
Points
Earne
12
SPSS DESCRIPTIVE
19
Figure
Candidate correctly creates a histogram for the total perceived learning
variable with purple bars and normal curve displayed.
12
Statistical Procedure
#2
Candidate correctly reports the means, medians, ranges, and interquartile
ranges for total perceived learning variable by gender.
10
Statistical Procedure
#3
Candidate correctly reports the mean, standard deviation, and P10, P20, P30,
P40, and P95 for total perceived learning variable with the interpretation of
the meaning of P95.
11
Grammar and APA
Candidate uses correct APA, spelling, grammar, and punctuation. Results
are reported in accordance with the APA Manual.
10
SPSS output
Candidate includes SPSS output at the end of the document.
10
Total
65