Application of SPSS in Statistical Analysis

Application of  SPSS in Statistical Analysis: Statistical Package for the social sciences (SPSS) is a window-based program first launched in 1968. In 2009, SPSS is acquired by IBM. Hence, it is officially known as IBM SPSS statistics. SPSS is widely used in the social and behavioral sciences. It is also used by health researchers, market researchers, survey companies, education researchers, government, etc. Various windows can be opened when using SPSS such as data editor, output navigator, pivot table editor, chart editor, text output editor, and syntax editor. The data editor is a spreadsheet in which variables can be defined and entered into the data. Each row corresponds to a case while each column represents a variable. This window opens automatically when SPSS is started. The output navigator window displays the statistical results, tables, and charts from the analysis. Output displayed in pivot tables can be modified in many ways with the pivot table editor. It is possible to modify and save high-resolution charts and plots by invoking the chart editor for a certain chart in an output navigator window. Text output not displayed in pivot tables can be modified with the text output editor.

Use of SPSS software for calculation of data
Fig: Use of SPSS software for calculation of data

SPSS contains all basic statistical tests and multivariate analyses such as t-tests, chi-square tests, ANOVA, correlations and regressions, non-parametric tests, cluster analysis, etc.

IBM SPASS statistics 26 continues to increase accessibility to advanced analytics through improved tools, integration, output, and ease-of-use features. This release mainly focuses on increasing the analytic capabilities of the software through quantile regression, ROC analysis, Bayesian statistics, one sample binomial and Poisson enhancements, reliability analysis, and command enhancements.

SPSS software is used for editing and analyzing all sorts of data available from scientific research, clinical studies, customer database, Google Analytics, etc. SPSS can open all file formats that are commonly used for structured data such as spreadsheets from MS Excel, plain text files, relational database, stata, SAS, etc. SPSS Statistics can read and write data from ASCII text files, other statistics packages, spreadsheets, and databases.

Statistical output is a proprietary file format and the proprietary output can be exported to text or Microsoft word, pdf, excel, and other formats. The typical workflow of SPSS software is as follows:

  • Opening data files in SPSS file format or others.
  • Editing data such as computing sums and means over columns or rows of data.
  • Creating tables and charts containing frequency counts or summary statistics over cases and variables.
  • Running inferential statistics such as one-way ANOVA, two-way ANOVA, regression, correlation, factor analysis, etc.
  • Saving data and output in different file formats.
Make sure you also check our other amazing Article on : Chi-Square Test
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