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| - SPSS is a computer program used for statistical analysis and is also the name of the company (SPSS Inc) that sells it. SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968, and is among the most widely used programs for statistical analysis in social science. It is used by market researchers, health researchers, survey companies, government, education researchers, and others. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored with the data) are features of the base software.
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| abstract
| - SPSS is a computer program used for statistical analysis and is also the name of the company (SPSS Inc) that sells it. SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968, and is among the most widely used programs for statistical analysis in social science. It is used by market researchers, health researchers, survey companies, government, education researchers, and others. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored with the data) are features of the base software. The many features of SPSS are accessible via pull-down menus (see image) or can be programmed with a proprietary 4GL command syntax language. Command syntax programming has the benefits of reproducibility and handling complex data manipulations and analyses. The pull-down menu interface also generates command syntax, though, by default, this is invisible to the user. Programs can be run interactively, or unattended using the supplied Production Job Facility. Additionally a "macro" language can be used to write command language subroutines and a Python programmability extension can access the information in the data dictionary and data and dynamically build command syntax programs. The Python programmability extension, introduced in SPSS 14, replaced the less functional SAX Basic "scripts" for most purposes, although SaxBasic remains available. With SPSS 14, SPSS can be driven externally by a Python or a VB.NET program using supplied "plug-ins". SPSS places constraints on internal file structure, data types, data processing and matching files, which together considerably simplify programming. SPSS datasets have a 2-dimensional table structure where the rows typically represent cases (such as individuals or households) and the columns represent measurements (such as age, sex or household income). Only 2 data types are defined, numeric and text (or "string"). All data processing occurs sequentially case-by-case through the file. Files can be matched one-to-one and one-to-many, but not many-to-many. Different versions of SPSS are available for Windows, Mac OS X and Unix. The Windows version is updated more frequently, and has more features, than the versions for other operating systems. SPSS can read and write data from ASCII text files (including hierarchical files), other statistics packages, spreadsheets and databases. SPSS can read and write to external relational database tables via ODBC and SQL. Statistics included in the base software:
* Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics
* Bivariate statistics: Means, t-test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests
* Prediction for numerical outcomes: Linear regression
* Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant Add-on modules provide additional capabilities. The available modules are:
* SPSS Programmability Extension (added in version 14). Allows Python programming control of SPSS.
* SPSS Data Validation (added in version 14). Allows programming of logical checks and reporting of suspicious values.
* SPSS Regression Models - Logistic regression, ordinal regression, multinomial logistic regression, and mixed models (multilevel models).
* SPSS Advanced Models - Multivariate GLM and repeated measures ANOVA (removed from base system in version 14).
* SPSS Classification Trees. Creates classification and decision trees for identifying groups and predicting behaviour.
* SPSS Tables. Allows user-defined control of output for reports.
* SPSS Exact Tests. Allows statistical testing on small samples.
* SPSS Categories
* SPSS Trends™
* SPSS Conjoint
* SPSS Missing Value Analysis. Simple regression-based imputation.
* SPSS Map
* SPSS Complex Samples (added in Version 12). Adjusts for stratification and clustering and other sample selection biases. SPSS Server is a version of SPSS with a client/server architecture. It has some features not available in the desktop version, one example is scoring functions.
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