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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1378
Educational Data Analysis by Applied SPSS
Aung Cho1, Aung Si Thu2
1Application Department, 2Hardware Department
1,2University of Computer Studies, Maubin, Myanmar
How to cite this paper: Aung Cho |
Aung Si Thu "Educational Data Analysis
by Applied SPSS" Published in
International Journal of Trend in
Scientific Research and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.1378-1380, URL:
https://www.ijtsrd.c
om/papers/ijtsrd25
092.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
SPSS is powerful to analyze Educational data. This paper intends to support
educational leaders the benefits of data analyzing with applied SPSS. It showed
the data analysis of qualified rates such as bad, neutral, good and very good on
the subjects. As SPSS’s background algorithms, it showed the cross tabulation
algorithm for cross tabulation tables. And then Sample data
‘course_evaluation.sav’ was downloaded from Google and was analyzed and
viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7.
1. INTRODUCTION
Nowadays educational businesses are competing with others not to lose their
market places in local and external regions. To avoid the loss of market places
they should use data science technology. This paper used SPSS integrated with
Python software. It showed the data analysis of qualified rates such as bad,
neutral, good and very good on the subjects that includes two tables, two graphs
and six data analytical views.
1.2 SPSS
SPSS, standing for Statistical Package for the Social Sciences, is a powerful, user-
friendly software package for the manipulation and statistical analysis of data.
The package is particularly useful for students and researchers in psychology,
sociology, psychiatry, and other behavioral sciences, containing as it does an
extensive range of both univariate and multivariate procedures.
Data analysis generally begins with the calculation of a
number of summary statistics such as the mean, median,
standard deviation, etc., and by creating informative
graphical displays of the data such as histograms, box plots,
and stem-and-leaf plots.[2]
1.3 SPSS Crosstabs
Cross tabulation tables, or contingency tables arefrequently
employed to examinetherelationshipbetweentwo variables
(usually nominal or ordinal) that have a small number of
categories.[4]
1.4 SPSS Graph
SPSS can display your data in a bar chart, a line graph, an
area graph, a pie chart, a scatterplot,ahistogram, acollection
of high-low indicators, a box plot, or a dual-axis graph.
Adding to the flexibility, each of these basic forms can have
multiple appearances. For example, a bar chart can have a
two- or three-dimensional appearance, represent data in
different colors, or contain simple lines or I-beams for bars.
The choice of layouts is almost endless.[3]
2. Algorithm
2.1 Notation (cross tabulation algorithm) [1]
Notation Description
Xi Distinct values of row variable arranged in
ascending order:
X1< X2 < … XR
Yj Distinct values of row variable arranged in
ascending order:
Y1 < Y1 < ... YC
fij Sum of cell weights for cases in cell(i,j)
cj
the jth column subtotal
ri
the ith row subtotal
W
the grand total
2.2. Marginal and Cell Statistics [1]
count =
Expected Count =
row percent = 100 x ( )
column percent = 100 x ( )
total percent = 100 x ( )
2.3 cross tabulation algorithm [1]
Residual
Standardized Residual
Adjusted Residual
IJTSRD25092
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1379
3. Testing
3.1 How do you rate this course?
SPSS Code
CROSSTABS
/TABLES=major BY q1
/FORMAT=AVALUE TABLES
/CELLS=COUNT COLUMN
/COUNT ROUND CELL.
Table-1: How do you rate this course?
Bar Chart-1: How do you rate this course?
3.1.1 Data analytical view:
As a result of table-1 and bar chart-1, sociology course got
the most bad-rate and psychology course got the most very-
good rate. Therefore the course leaders need to check the
weak points of the sociology course and modify this course
to get better rate. If needed, the external course experts
should be hired.
3.2 How do you rate the teacher of this course?
SPSS Code
CROSSTABS
/TABLES=major BY q2
/FORMAT=AVALUE TABLES
/CELLS=COUNT COLUMN
/COUNT ROUND CELL.
Table-2: How do you rate the teacher of this course?
Bar Chart-1: How do you rate the teacher of this
course?
3.2.1 Data analytical view:
As a result of table-2 and bar chart-2, psychology teachers
got the most bad-rate and the most very-good rate.
Therefore the teaching leaders need to check the weak
points of the psychology teachers and traintheseteachers to
get better rate. If needed, the external teaching experts
should be hired.
3.3 Other data analysis and views
After the above analyzing, can continue to research the
questions showed at the below with the same ways as 3.1
and 3.2 tests.
q3. How do you rate the lectures of this course?
q4. How do you rate the assignments of this course?
q5. How do you rate the learning resources (such as syllabi
and handouts) that were issued by us?
q6. How do you rate the learning resources (such as books)
that were not issued by us?
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1380
If you analyze question ‘q3’, will see the most bad-rate
lecture is sociology lecture and the most very-good rate
lecture is psychology lecture and then educational leaders
need to check the weak points of the most bad-rate lectures
and modify the lectures to get better qualified rate with help
of lectures experts.
If you analyze question ‘q4’, will see the most bad-rate
assignment is psychology assignment and the most very-
good rate assignments is sociology assignment and then
educational leaders need to check the weak points of the
most bad-rate assignments and modify the assignments to
get better qualified rate with help of assignments experts.
If you analyze question ‘q5’, will see the most bad-rate
syllabi and handout is psychology syllabi and handout and
the most very-good rate syllabi and handout is psychology
syllabi and handout and then educational leaders need to
check the weak points of the most bad-rate syllabi and
handouts and modify the syllabi and handouts to get better
qualified rate with help of syllabi and handouts experts.
If you analyze question ‘q6’, will see the mostbad-ratebooks
are psychology, economy and anthropology books and the
most very-good rate book is anthropology book and then
educational leaders need to check the weak points of the
most bad-rate books and modify the books to get better
qualified rate with help of books experts.
4. Conclusion
SPSS data analysis tools are valuable in social science,
educational business and marketing fields.Itisverygood for
presentation report by graphical design. This paper shows
the weak and good points analyzing on each subject.
Educational leaders can get their goal with good result and
can avoid the loss of goodwill of his educational business in
local and global regions by using SPSS software.
References
[1] IBM SPSS Statistics 22 Algorithms pdf book [book
style]
[2] A handbook of statistical analyses using SPSS / Sabine,
Landau, Brian S. Everitt, ISBN 1-58488-369-3 [book
style]
[3] SPSS For Dummies®, 2nd Edition, ISBN: 978-0-470-
48764-8 [book style]
[4] SPSS for Social Scientists RobertL.Miller,CiaranActon,
Deirdre A. Fullerton and John Maltby, ISBN 0–333–
92286–7 [book style]
Author Profile
Aung Cho received the B.A.(Eco)
degree from Yangon University in
1987 and M.I.Sc. (Information
Science) degree from University of
Computer Studies, Yangon in 2001.
After got Master degree, I served as a
teacher at the software, information
science and application departments
of the computer universities. I am
now with University of Computer
Studies, Maubin, Myanmar.
Author Profile
Aung Si Thu received the
B.Sc.(Hons)(Chemistry) degree
from Magwe Universityin 2003and
M.I.Sc.(Information Science) degree
from University of Computer
Studies, Yangon in 2009. After got
Master degree, I served as a teacher
at the software, information science
and hardware departments of the
computer universities. I am now
with University of Computer
Studies, Maubin, Myanmar.

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Educational Data Analysis by Applied SPSS

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1378 Educational Data Analysis by Applied SPSS Aung Cho1, Aung Si Thu2 1Application Department, 2Hardware Department 1,2University of Computer Studies, Maubin, Myanmar How to cite this paper: Aung Cho | Aung Si Thu "Educational Data Analysis by Applied SPSS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.1378-1380, URL: https://www.ijtsrd.c om/papers/ijtsrd25 092.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT SPSS is powerful to analyze Educational data. This paper intends to support educational leaders the benefits of data analyzing with applied SPSS. It showed the data analysis of qualified rates such as bad, neutral, good and very good on the subjects. As SPSS’s background algorithms, it showed the cross tabulation algorithm for cross tabulation tables. And then Sample data ‘course_evaluation.sav’ was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. 1. INTRODUCTION Nowadays educational businesses are competing with others not to lose their market places in local and external regions. To avoid the loss of market places they should use data science technology. This paper used SPSS integrated with Python software. It showed the data analysis of qualified rates such as bad, neutral, good and very good on the subjects that includes two tables, two graphs and six data analytical views. 1.2 SPSS SPSS, standing for Statistical Package for the Social Sciences, is a powerful, user- friendly software package for the manipulation and statistical analysis of data. The package is particularly useful for students and researchers in psychology, sociology, psychiatry, and other behavioral sciences, containing as it does an extensive range of both univariate and multivariate procedures. Data analysis generally begins with the calculation of a number of summary statistics such as the mean, median, standard deviation, etc., and by creating informative graphical displays of the data such as histograms, box plots, and stem-and-leaf plots.[2] 1.3 SPSS Crosstabs Cross tabulation tables, or contingency tables arefrequently employed to examinetherelationshipbetweentwo variables (usually nominal or ordinal) that have a small number of categories.[4] 1.4 SPSS Graph SPSS can display your data in a bar chart, a line graph, an area graph, a pie chart, a scatterplot,ahistogram, acollection of high-low indicators, a box plot, or a dual-axis graph. Adding to the flexibility, each of these basic forms can have multiple appearances. For example, a bar chart can have a two- or three-dimensional appearance, represent data in different colors, or contain simple lines or I-beams for bars. The choice of layouts is almost endless.[3] 2. Algorithm 2.1 Notation (cross tabulation algorithm) [1] Notation Description Xi Distinct values of row variable arranged in ascending order: X1< X2 < … XR Yj Distinct values of row variable arranged in ascending order: Y1 < Y1 < ... YC fij Sum of cell weights for cases in cell(i,j) cj the jth column subtotal ri the ith row subtotal W the grand total 2.2. Marginal and Cell Statistics [1] count = Expected Count = row percent = 100 x ( ) column percent = 100 x ( ) total percent = 100 x ( ) 2.3 cross tabulation algorithm [1] Residual Standardized Residual Adjusted Residual IJTSRD25092
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1379 3. Testing 3.1 How do you rate this course? SPSS Code CROSSTABS /TABLES=major BY q1 /FORMAT=AVALUE TABLES /CELLS=COUNT COLUMN /COUNT ROUND CELL. Table-1: How do you rate this course? Bar Chart-1: How do you rate this course? 3.1.1 Data analytical view: As a result of table-1 and bar chart-1, sociology course got the most bad-rate and psychology course got the most very- good rate. Therefore the course leaders need to check the weak points of the sociology course and modify this course to get better rate. If needed, the external course experts should be hired. 3.2 How do you rate the teacher of this course? SPSS Code CROSSTABS /TABLES=major BY q2 /FORMAT=AVALUE TABLES /CELLS=COUNT COLUMN /COUNT ROUND CELL. Table-2: How do you rate the teacher of this course? Bar Chart-1: How do you rate the teacher of this course? 3.2.1 Data analytical view: As a result of table-2 and bar chart-2, psychology teachers got the most bad-rate and the most very-good rate. Therefore the teaching leaders need to check the weak points of the psychology teachers and traintheseteachers to get better rate. If needed, the external teaching experts should be hired. 3.3 Other data analysis and views After the above analyzing, can continue to research the questions showed at the below with the same ways as 3.1 and 3.2 tests. q3. How do you rate the lectures of this course? q4. How do you rate the assignments of this course? q5. How do you rate the learning resources (such as syllabi and handouts) that were issued by us? q6. How do you rate the learning resources (such as books) that were not issued by us?
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25092 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1380 If you analyze question ‘q3’, will see the most bad-rate lecture is sociology lecture and the most very-good rate lecture is psychology lecture and then educational leaders need to check the weak points of the most bad-rate lectures and modify the lectures to get better qualified rate with help of lectures experts. If you analyze question ‘q4’, will see the most bad-rate assignment is psychology assignment and the most very- good rate assignments is sociology assignment and then educational leaders need to check the weak points of the most bad-rate assignments and modify the assignments to get better qualified rate with help of assignments experts. If you analyze question ‘q5’, will see the most bad-rate syllabi and handout is psychology syllabi and handout and the most very-good rate syllabi and handout is psychology syllabi and handout and then educational leaders need to check the weak points of the most bad-rate syllabi and handouts and modify the syllabi and handouts to get better qualified rate with help of syllabi and handouts experts. If you analyze question ‘q6’, will see the mostbad-ratebooks are psychology, economy and anthropology books and the most very-good rate book is anthropology book and then educational leaders need to check the weak points of the most bad-rate books and modify the books to get better qualified rate with help of books experts. 4. Conclusion SPSS data analysis tools are valuable in social science, educational business and marketing fields.Itisverygood for presentation report by graphical design. This paper shows the weak and good points analyzing on each subject. Educational leaders can get their goal with good result and can avoid the loss of goodwill of his educational business in local and global regions by using SPSS software. References [1] IBM SPSS Statistics 22 Algorithms pdf book [book style] [2] A handbook of statistical analyses using SPSS / Sabine, Landau, Brian S. Everitt, ISBN 1-58488-369-3 [book style] [3] SPSS For Dummies®, 2nd Edition, ISBN: 978-0-470- 48764-8 [book style] [4] SPSS for Social Scientists RobertL.Miller,CiaranActon, Deirdre A. Fullerton and John Maltby, ISBN 0–333– 92286–7 [book style] Author Profile Aung Cho received the B.A.(Eco) degree from Yangon University in 1987 and M.I.Sc. (Information Science) degree from University of Computer Studies, Yangon in 2001. After got Master degree, I served as a teacher at the software, information science and application departments of the computer universities. I am now with University of Computer Studies, Maubin, Myanmar. Author Profile Aung Si Thu received the B.Sc.(Hons)(Chemistry) degree from Magwe Universityin 2003and M.I.Sc.(Information Science) degree from University of Computer Studies, Yangon in 2009. After got Master degree, I served as a teacher at the software, information science and hardware departments of the computer universities. I am now with University of Computer Studies, Maubin, Myanmar.