SPSS offers four programs that assist researchers with their complex data analysis needs.
SPSS’s Statistics program provides a plethora of basic statistical functions, some of which include frequencies, cross tabulation, and bivariate statistics.
SPSS’s Modeler program enables researchers to build and validate predictive models using advanced statistical procedures.
Text Analytics for Surveys Program
SPSS’s Text Analytics for Surveys program helps survey administrators uncover powerful insights from responses to open ended survey questions.
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.
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 also offers the feature solution of data documentation, which allows researchers to store a metadata dictionary. This metadata dictionary acts as a centralized repository of information pertaining to data such as meaning, relationships to other data, origin, usage, and format.
There are a handful of statistical methods that can be leveraged in SPSS, including:
- Descriptive statistics, including methodologies such as frequencies, cross tabulation, and descriptive ratio statistics.
- Bivariate statistics, including methodologies such as analysis of variance (ANOVA), means, correlation, and nonparametric tests.
- Numeral outcome prediction such as linear regression.
- Prediction for identifying groups, including methodologies such as cluster analysisand factor analysis.
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