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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 - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1148
Applied SPSS for Business and Marketing
Aung Cho1,Khin Khin Lay2
1Lecturer, 2Associate Professor,
1
Application Department,2Faculty of Computer Science,
1,2University of Computer Studies, Maubin, Myanmar
How to cite this paper: Aung Cho | Khin
Khin Lay "AppliedSPSSforBusiness and
Marketing" Published in International
Journal of Trend in Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.1148-1150, URL:
https://www.ijtsrd.c
om/papers/ijtsrd24
013.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
CreativeCommons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
SPSS (Statistical Package for the Social Sciences) is powerful to analyzebusiness
and marketing data. This paper intends to support business and marketing
leaders the benefits of data analyzing with applied SPSS. It showed the data
analysis of job satisfactions on years of experience. As SPSS’s background
algorithms, it showed the cross tabulation algorithm for cross tabulation table
and Pearson chi-square algorithm for data significant. And then Sample data
‘demo.sav’ was downloaded from Google and was analyzed and viewed. It used
IBM SPSS statistics version 23 and PYTHON version 3.7.
Keywords: SPSS (Statistical Package for the Social Sciences)
I. INTRODUCTION
Nowadays, 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 usedSPSSintegrated withPython software. It
showed the data analysis of job satisfactions on years of experience that includes
four tables, the result of each table, two chi-square test for data significant and
data analytical view.
A. 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 anumberof
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]
B. SPSS Crosstabs
Cross tabulation tables, or contingency tables arefrequently
employed to examine the relationship between two
variables (usually nominal or ordinal) that have a small
number of categories.[4]
C. Chi-square test
The Chi-square test allows us to determine whether or not
there is a statistically significant association between
two variables. If the variables are not associated they are
said to be statistically independent (hence Chi-square is
often referred to as the ‘Chi-square test of
independence’).[4]
D. 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]
II. ALGORITHM
A. 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
IJTSRD24013
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1149
B. Marginal and Cell Statistics [1]
count =
Expected Count =
row percent = 100 x ( )
column percent = 100 x ( )
total percent = 100 x ( )
C. cross tabulation algorithm [1]
Residual
Standardized Residual
Adjusted Residual
D. Pearson’sChi-square(crosstabulationalgorithm)[1]
=
The degree of freedom are (R-1) (C-1)
Likelihood Ratio
The degree of freedom are (R-1) (C-1)
Note: when fij, the entire term fij ln(fij/Eij) is treated as
0, because ,
and thus has no effect on the sum.
Fisher’s Exact Test
If the table is a 2x2 table, not resulting from a larger
table with missing cells, then the Fisher
exact test is calculated. For more information, see the
topic “Significance Levels for Fisher’s
Exact Test” on p. 1037.
Yates Continuity Corrected for 2 x 2 Tables
if >0.5W
otherwise
The degrees of freedom are 1.
III. TESTING
A. Job Satisfactions on Years of Experience
SPSS Code
CROSSTABS
/TABLES=empcat BY jobsat
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COLUMN BPROP
/COUNT ROUND CELL
/BARCHART.
TABLE.I YEARS WITH CURRENT EMPLOYER* JOB
SATISFACTION CROSS TABULATION
Years of Experience Highly satisfied
Less than 5 9.2%e
5 to 15 33.8%c
More than 15 57.0%e
Total 100.0%
TABLE.II CHI-SQUARE TESTS
Value df
Asymptotic
Significance
(2-sided)
Pearson Chi-Square 1689.561a 8 .000
Likelihood Ratio 1747.380 8 .000
Linear-by-Linear
Association
1525.767 1 .000
N of Valid Cases 6400
Bar Chart-1: Years with current employer * Job
satisfaction
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1150
B. Data analytical view:
As a result of table-1 and bar chart-1, more years of
experience, higher job satisfaction. Years of experience and
job satisfaction are direct correlation and real association.
As a result of table-2, p-value is less than 0.05, so variables
are significantly variance.
In the business, employees with more experience should
share the knowledge andhappiness to employees with lower
experience. Business leader and owners should award
promotion and bonus to all tried employees in the endofthe
year to get more job satisfactions.
C. Job Satisfactions on Most Years of Experience and
income level
If the control variable ‘income level’ was added on test 3.1
condition, the result was found as the following.
TABLE.III MOST YEARS WITH CURRENT EMPLOYER*
JOB SATISFACTION *INCOME LEVELCROSS
TABULATION
More than 15 Years
Income Level Highly satisfied
Under $25 5.6%
$25-$49 8.7%
$50-$74 16.9%
$75+ 68.8%
Total 100.0%
Bar Chart-2: Years with current employer * Job
satisfaction * Income level
TABLE.IV CHI-SQUARE TESTS
D. Data analytical view:
As a result of table-3 and bar chart-2, higher income, higher
job satisfaction. Income level and job satisfaction are direct
correlation and real association.
As test-3.1 and test-3.2, if there is more job satisfactions,
employers have more experience and more income.
As a result of table-4, p-value is less than 0.05, so variables
are significantly variance.
IV. CONCLUSION
SPSS data analysis tools are valuable in social science,
business and marketing fields. It is very good for
presentation report by graphical design. Business leaders
can get their goal with good result and can avoid the loss of
market places in local and global regions by using SPSS
software.
References
[1] IBM SPSS Statistics 24 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 Robert L.Miller,Ciaran Acton,
Deirdre A. Fullerton and John Maltby, ISBN 0–333–
92286–7 [book style]

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Applied SPSS for Business and Marketing

  • 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 - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1148 Applied SPSS for Business and Marketing Aung Cho1,Khin Khin Lay2 1Lecturer, 2Associate Professor, 1 Application Department,2Faculty of Computer Science, 1,2University of Computer Studies, Maubin, Myanmar How to cite this paper: Aung Cho | Khin Khin Lay "AppliedSPSSforBusiness and Marketing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.1148-1150, URL: https://www.ijtsrd.c om/papers/ijtsrd24 013.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 CreativeCommons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT SPSS (Statistical Package for the Social Sciences) is powerful to analyzebusiness and marketing data. This paper intends to support business and marketing leaders the benefits of data analyzing with applied SPSS. It showed the data analysis of job satisfactions on years of experience. As SPSS’s background algorithms, it showed the cross tabulation algorithm for cross tabulation table and Pearson chi-square algorithm for data significant. And then Sample data ‘demo.sav’ was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Keywords: SPSS (Statistical Package for the Social Sciences) I. INTRODUCTION Nowadays, 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 usedSPSSintegrated withPython software. It showed the data analysis of job satisfactions on years of experience that includes four tables, the result of each table, two chi-square test for data significant and data analytical view. A. 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 anumberof 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] B. SPSS Crosstabs Cross tabulation tables, or contingency tables arefrequently employed to examine the relationship between two variables (usually nominal or ordinal) that have a small number of categories.[4] C. Chi-square test The Chi-square test allows us to determine whether or not there is a statistically significant association between two variables. If the variables are not associated they are said to be statistically independent (hence Chi-square is often referred to as the ‘Chi-square test of independence’).[4] D. 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] II. ALGORITHM A. 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 IJTSRD24013
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1149 B. Marginal and Cell Statistics [1] count = Expected Count = row percent = 100 x ( ) column percent = 100 x ( ) total percent = 100 x ( ) C. cross tabulation algorithm [1] Residual Standardized Residual Adjusted Residual D. Pearson’sChi-square(crosstabulationalgorithm)[1] = The degree of freedom are (R-1) (C-1) Likelihood Ratio The degree of freedom are (R-1) (C-1) Note: when fij, the entire term fij ln(fij/Eij) is treated as 0, because , and thus has no effect on the sum. Fisher’s Exact Test If the table is a 2x2 table, not resulting from a larger table with missing cells, then the Fisher exact test is calculated. For more information, see the topic “Significance Levels for Fisher’s Exact Test” on p. 1037. Yates Continuity Corrected for 2 x 2 Tables if >0.5W otherwise The degrees of freedom are 1. III. TESTING A. Job Satisfactions on Years of Experience SPSS Code CROSSTABS /TABLES=empcat BY jobsat /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COLUMN BPROP /COUNT ROUND CELL /BARCHART. TABLE.I YEARS WITH CURRENT EMPLOYER* JOB SATISFACTION CROSS TABULATION Years of Experience Highly satisfied Less than 5 9.2%e 5 to 15 33.8%c More than 15 57.0%e Total 100.0% TABLE.II CHI-SQUARE TESTS Value df Asymptotic Significance (2-sided) Pearson Chi-Square 1689.561a 8 .000 Likelihood Ratio 1747.380 8 .000 Linear-by-Linear Association 1525.767 1 .000 N of Valid Cases 6400 Bar Chart-1: Years with current employer * Job satisfaction
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD24013 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1150 B. Data analytical view: As a result of table-1 and bar chart-1, more years of experience, higher job satisfaction. Years of experience and job satisfaction are direct correlation and real association. As a result of table-2, p-value is less than 0.05, so variables are significantly variance. In the business, employees with more experience should share the knowledge andhappiness to employees with lower experience. Business leader and owners should award promotion and bonus to all tried employees in the endofthe year to get more job satisfactions. C. Job Satisfactions on Most Years of Experience and income level If the control variable ‘income level’ was added on test 3.1 condition, the result was found as the following. TABLE.III MOST YEARS WITH CURRENT EMPLOYER* JOB SATISFACTION *INCOME LEVELCROSS TABULATION More than 15 Years Income Level Highly satisfied Under $25 5.6% $25-$49 8.7% $50-$74 16.9% $75+ 68.8% Total 100.0% Bar Chart-2: Years with current employer * Job satisfaction * Income level TABLE.IV CHI-SQUARE TESTS D. Data analytical view: As a result of table-3 and bar chart-2, higher income, higher job satisfaction. Income level and job satisfaction are direct correlation and real association. As test-3.1 and test-3.2, if there is more job satisfactions, employers have more experience and more income. As a result of table-4, p-value is less than 0.05, so variables are significantly variance. IV. CONCLUSION SPSS data analysis tools are valuable in social science, business and marketing fields. It is very good for presentation report by graphical design. Business leaders can get their goal with good result and can avoid the loss of market places in local and global regions by using SPSS software. References [1] IBM SPSS Statistics 24 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 Robert L.Miller,Ciaran Acton, Deirdre A. Fullerton and John Maltby, ISBN 0–333– 92286–7 [book style]