In short, remember to use SPSS when you need a flexible, customizable way to get super granular on even the most complex data sets. Once survey data is exported to SPSS, the opportunities for statistical analysis are practically endless. SAV format makes the process of pulling, manipulating, and analyzing data clean and easy.īy doing so, SPSS will automatically set up and import designated variable names, variable types, titles, and value labels, meaning that minimal legwork is required from researchers. Exporting survey data to SPSS’s proprietary. Thanks to its emphasis on analyzing statistical data, SPSS is an extremely powerful tool for manipulating and deciphering survey data.įun fact: The data from Microsoft Excel can be exported to SPSS for detailed analysis. The Benefits of Using SPSS for Survey Data Analysis Prediction for identifying groups, including methodologies such as cluster analysis and factor analysis. Numeral outcome prediction such as linear regression. Bivariate statistics, including methodologies such as analysis of variance (ANOVA), means, correlation, and nonparametric tests. There are a handful of statistical methods that can be leveraged in SPSS, including:ĭescriptive statistics, including methodologies such as frequencies, cross tabulation, and descriptive ratio statistics. This metadata dictionary acts as a centralized repository of information pertaining to data such as meaning, relationships to other data, origin, usage, and format. SPSS also offers the feature solution of data documentation, which allows researchers to store a metadata dictionary. In addition to the four programs mentioned above, SPSS also provides solutions for data management, which allow researchers to perform case selection, create derived data, and perform file reshaping. SPSS’s Visualization Designer program allows researchers to use their data to create a wide variety of visuals like density charts and radial boxplots with ease. SPSS’s Text Analytics for Surveys program helps survey administrators uncover powerful insights from responses to open ended survey questions. SPSS’s Modeler program enables researchers to build and validate predictive models using advanced statistical procedures. SPSS’s Statistics program provides a plethora of basic statistical functions, some of which include frequencies, cross tabulation, and bivariate statistics. Data security: Store files and data on your computer rather than in the cloud with SPSS that’s installed locally.Open source integration: Enhance SPSS syntax with R and Python using a library of extensions or by building your own.Plus, you can automate common tasks through syntax. Comprehensive: Run advanced and descriptive statistics, regression and more with an integrated interface.Quick and reliable: Analyze large data sets and prepare data in a single step with Automated Data Preparation.Efficient data conditioning: Reduce data preparation time by identifying invalid values, viewing patterns of missing data, and summarizing variable distributions.Easy to use: Perform powerful analysis and easily build visualizations and reports through a point-and-click interface, and without any coding experience.SPSS offers four programs that assist researchers with their complex data analysis needs.
Select and manage your software easily, with flexible deployment options.
It delivers a robust set of features that lets you extract actionable insights from its data. SPSS is a powerful statistical software platform. Most top research agencies use SPSS to analyze survey data and mine text data so that they can get the most out of their research projects. SPSS is used by market researchers, health researchers, survey companies, government entities, education researchers, marketing organizations, data miners, and many more for the processing and analyzing of survey data. It was originally launched in 1968 by SPSS Inc., and was later acquired by IBM in 2009. The SPSS software package was created for the management and statistical analysis of social science data. SPSS (Statistical Package for the Social Sciences)