SPSS is short term for Statistical Package for the Social Sciences. It is both a data and analysis management product, developed by IBM SPSS incorporation based in Chicago, Illinois. It uses two windows within its interface. The first one is the Program Editor while the second one is the Viewer. The Program Editor is the overall function system, that checks for statistical Annalytival data. The Viewer is where the conceived output of the analyzed statistic displays for easier manipulation. (Carver and Nash 2011, p. 12).
SPSS has unique features that enable it to turn raw data into useful information. They include plots, charts, lists, frequencies and sophisticated statistical procedures one of them being Analysis of Variance (ANOVA). The most common ones, however, are the cluster analysis, factor analysis and categorical data analysis. Where unit root testing applies, the accumulative raw data attaches into the program. The program contains rows and columns. The data integrates into the system and evaluation applies on a per unit basis. This enhances the unit root testing. Unit root testing using the program becomes much easier. On the Viewer feature, the data transform to rows and columns. Each root unit translates into charts or graphs on the left hand side of the Viewer. There is another method for unit root testing. Here, the statistics run against the data. One checks the variables, run the procedure and finally examines the results. (Weinberg and Abramowitz 2008, p. 56)
SPSS has a wide use in today’s world. Data management and analysis is the core benefit of the feature. Its uses include examining school tests, graphical analysis and profit analysis in institutions. SPPS though easy to use is not widely affordable. This makes institutions, schools and companies to use other software have to check on their data. (Yafee and McGee 2000, p. 23).
CARVER, R. H., & NASH, J. G. (2011). Doing data analysis with SPSS version 18.0.
Boston, MA, Brooks/Cole Cengage Learning. Vol 4 pp.12-30
WEINBERG, S. L., & ABRAMOWITZ, S. K. (2008). Statistics using SPSS: an integrative
approach. New York, Cambridge University Press. Vol 12 pp. 56
YAFFEE, R. A., & MCGEE, M. (2000). Introduction to time series analysis and forecasting:
with applications of SAS and SPSS. San Diego, Calif. [u.a.], Acad. Press. Vol 10 pp. 23