Download free IBM SPSS 21
IBM SPSS 21
This super-app affords you complete control over your data. It allows you to make complex graphs and illustrations from statistics and is firmly aimed at professionals who want to solve business and research problems. To facilitate this, SPSS features a wide range of analytical functions that take the pain out of collating data.
SPSS offers detailed analysis options to look deeper into your data and spot trends that you might not have noticed. You can test out hundreds of different variables on your data to see how figures or performance would change under different circumstances, while the app contains multiple advanced features that will allow you get the max from your data.
Among these features are excellent sharing options, automated models, the ability to operate server versions of IBM SPSS Statistics Base and modules on IBM mainframe servers, a syntax editor, integration with Microsoft Office, and much, much more. In order to get a better idea of the functions and features, take a look here.
Obviously, such power comes at a price. The SPSS download is pretty large, and once you do have the program installed, it’s a pretty steep learning curve until you find your feet. You could argue that SPSS is actually a glorified version of Excel, but with far more options and power behind it, it’s an impressive beast. As a result, domestic users may be intimidated and would be better off getting started on a simpler data management app.
If you’re serious about statistics, then SPSS is as good as it gets.
Recent changes:
Generalized Linear Mixed Models – Create more accurate models for predicting non-linear outcomes in the Advanced Statistics module
Faster Performance - For compiled transformations in IBM SPSS Statistics Server and up to 200% performance gain for generating pivot tables in IBM SPSS Statistics Base
Statistics portal – Provide customized, Web-based analysis capabilities to colleagues and customers in IBM SPSS Statistics Server
Automatic Linear Models – Build powerful linear models in an easy, automated way in IBM SPSS Statistics Base
Syntax Editor – More than a dozen performance and ease-of-use enhancements for writing syntax in IBM SPSS Statistics Base and modules
Default Measurement Level – Automatically sets your measurement level during analysis in IBM SPSS Statistics Base and modules
Direct Marketing – Easier access to pre-built models, better ways to score data, and access to customer information in Salesforce.com from the IBM SPSS Direct Marketing module
IBM System z Support – Ability to operate server versions of IBM SPSS Statistics Base and modules on IBM’s powerful mainframe servers
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Detailed info about IBM SPSS 21
SPSS Statistics (originally, Statistical Package for the Social Sciences, later modified to read Statistical Product and Service Solutions) was released in its first version in 1968 after being developed by Norman H. Nie, Dale H. Bent, and C. Hadlai Hull. SPSS 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, marketing organizations and others. The original SPSS manual (Nie, Bent & Hull, 1970) has been described as one of "sociology's most influential books".[1] In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored in the datafile) are features of the base software. SPSS was released in its second version in 1972 and its company name is INDUS Nomi.
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
The many features of SPSS Statistics are accessible via pull-down menus or can be programmed with a proprietary 4GL command syntax language. Command syntax programming has the benefits of reproducibility, simplifying repetitive tasks, and handling complex data manipulations and analyses. Additionally, some complex applications can only be programmed in syntax and are not accessible through the menu structure. The pull-down menu interface also generates command syntax; this can be displayed in the output, although the default settings have to be changed to make the syntax visible to the user. They can also be pasted into a syntax file using the "paste" button present in each menu. 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. In addition, the Python extension allows SPSS to run any of the statistics in the free software package R. From version 14 onwards, SPSS can be driven externally by a Python or a VB.NET program using supplied "plug-ins".
The graphical user interface has two views which can be toggled by clicking on one of the two tabs in the bottom left of the SPSS Statistics window. The 'Data View' shows a spreadsheet view of the cases (rows) and variables (columns). Unlike spreadsheets, the data cells can only contain numbers or text and formulas cannot be stored in these cells. The 'Variable View' displays the metadata dictionary where each row represents a variable and shows the variable name, variable label, value label(s), print width, measurement type and a variety of other characteristics. Cells in both views can be manually edited, defining the file structure and allowing data entry without using command syntax. This may be sufficient for small datasets. Larger datasets such as statistical surveys are more often created in data entry software, or entered during computer-assisted personal interviewing, by scanning and using optical character recognition and optical mark recognition software, or by direct capture from online questionnaires. These datasets are then read into SPSS.
SPSS Statistics can read and write data from ASCII text files (including hierarchical files), other statistics packages, spreadsheets and databases. SPSS Statistics can read and write to external relational database tables via ODBC and SQL.
Statistical output is to a proprietary file format (*.spv file, supporting pivot tables) for which, in addition to the in-package viewer, a stand-alone reader can be downloaded. The proprietary output can be exported to text or Microsoft Word, PDF, Excel, and other formats. Alternatively, output can be captured as data (using the OMS command), as text, tab-delimited text, PDF, XLS, HTML, XML, SPSS dataset or a variety of graphic image formats (JPEG, PNG, BMP and EMF).
The SPSS logo used prior to the renaming in January 2010.
SPSS Statistics Server is a version of SPSS Statistics with a client/server architecture. It had some features not available in the desktop version, such as scoring functions (Scoring functions are included in the desktop version from version 19).