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SPSS (or IBM SPSS) is a versatile, responsive, and powerful statistical software product designed to carry out a wide range of statistical procedures from planning to data collection to creating tables and charts, performing data entry, analysis, reporting, and deployment. This comprehensive set of data and predictive analytics tools comes with a robust set of features that lets an organization manage its personal and business data and extract actionable insights from the available data. It is used by various researchers for editing and analyzing all sorts of quantitative data coming from different sources.
The features of SPSS include advanced statistical analysis, a massive library of machine learning algorithms, open-source extensibility, text analysis, big data integration, and deployment into applications seamlessly. SPSS enables one to quickly analyze large and complex data sets for a better understanding of the data, ensuring higher accuracy and better decision-making and solving complex research and business-related issues with its user-friendly interface. SPSS works in both Microsoft Windows and Mac Operating systems. The extensions of SPSS, Python, and R programming can be used to merge it with open-source software.
SPSS is extensively used as it is easily accessible by users of all skill levels because of its scalability, flexibility, ease of use, impressively thorough user interface, and straightforward and English-like command language. It is suitable for projects of all levels of complexity and size and can help a business unit find new opportunities, minimize risks and improve efficiency. It empowers everyone from beginners to expert analysts to identify trends, understand data and develop accurate forecasts. It was originally produced by SPSS Inc in 1968, with developers Norman H. Nie, Dale H. Bent, and C. Hadlai Hull to manage and statistically analyze the social science data but was later on acquired by IBM in 2009. The original meaning of SPSS was Statistical Package for the Social Sciences, indicating the original market but was later changed to Statistical Product and Service Solutions. SPSS can open all the commonly used file formats for structured data, including spreadsheets, plain text files, relational databases, Stata and SAS files.
The data collected by survey using Survey Gizmo can be easily exported to SPSS for good, detailed and easy analysis, and manipulation.
In SPSS, data and output gets stored in a variety of file formats. The files can be opened in either the file format of SPSS or other formats.
In SPSS, models can be developed very easily as the entire process is automated. SPSS accesses data according to the types of variables.
It comes with outstanding options to carry out complex operations, such as computing means and sums over rows or columns of data.
It is also used to create tables and charts with summaries of statistics or frequency counts and carry out inferential statistics, including ANOVA, factor analysis, and regression.
Descriptive Statistics: It includes methodologies such as cross-tabulation, frequencies, and descriptive ratio statistics.
Bivariate Statistics: It includes analysis of variance (ANOVA), correlation, nonparametric tests, and means.
Numerical Outcome Prediction: Linear regression and multiple regression falls under this type of statistical method.
Prediction for identifying groups: It includes factor analysis and cluster analysis.
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