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Compare SPSS Grad Pack editions At a very high level SPSS Statistics Base is useful for learning basic statistics. If non-linear regression, MANOVA or other more advanced functions are required students should purchase SPSS Standard at a minimum.
Students who need to perform missing values analysis or categories will require SPSS Premium. If you are unsure we recommend checking with your university or college, or if you don’t know which Statistics functions you need, purchase SPSS Statistics Premium which contains all the stats modules. The table below is a basic guide to the modules in each Grad Pack. During Checkout We recommend using your University or Academic Institution issued email address because this is the fastest way to get your SPSS Grad Pack license code and download link, usually within 10 minutes. After Purchase We send you an email confirming your purchase, which is followed by a second email with the download link to your SPSS Grad Pack, please allow 10 minutes for this process to occur, and also check your Spam/Junk folder as sometimes our second email sneaks into there. Note If using a generic email such as Gmail or Hotmail during Checkout you will be emailed a form to upload your student proof and once approved we release your license code.
IBM restricts Grad Pack licenses to 2 activations to be used on 2 separate machines (1 activation per machine) provided you are the only user of the license on both machines. Once activated you cannot de-activate or transfer activations to another machine. De-activations and transferability are features limited to more expensive Commercial licenses which are $1000's per annum. Upon installation, SPSS extracts your machine's 'lock-code' (a unique identifier for your machine) which it uses to activate your license. In the event of computer hardware changes (e.g. Reformatting or replacing your hard drive) or updates to your operating system (i.e. Updating Mac OSX), a new lock-code may be created by your machine.
IBM SPSS Statistics is leading statistical software that helps you quickly and easily find new insights in your data. Dec 28, 2001 - SPSS 10.0 is a modular, integrated product line for data access, data preparation, reporting, graphics and advanced analysis through statistical. Hi, SPSS versions are almost all the same for general use. It depends on what you'd like to do in statistics. There is also PSPP a free clone of SPSS.
For your SPSS license to work with your new lock-code an additional activation is required. If one of your activations remains unused, you can use it to license SPSS on your machine.
Otherwise, you will need to purchase a new license. To activate SPSS you will need to open the License Authorization Wizard following the instructions below. The IBM SPSS Statistics Premium Edition Grad Pack is almost certainly the same edition as is used in your University or Academic Institution.
It comes with all modules/add-ons enabled and is essential for anyone doing advanced statistics. Students worldwide use SPSS Grad Packs to learn statistics, our prices are heavily discounted to ensure students get the best value, backed up with great service. The IBM SPSS Statistics Premium Edition Grad Pack includes the following capabilities:. Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships. Nonlinear models provide the ability to apply more sophisticated models to data. Simulation capabilities help analysts automatically model many possible outcomes when inputs are uncertain, improving risk analysis and decision making.
Customized tables enable users to easily understand their data and quickly summarize results in different styles for different audiences. Data preparation streamlines the data preparation stage of the analytical process. Data validity and missing values increase the chance of receiving statistically significant results. Categorical and numeric data can be used to predict outcomes and reveal relationships graphically.
Decision trees make it easier to identify groups, discover relationships between groups and predict future events. Forecasting features enable you to analyze historical data and predict trends faster. Bootstrapping makes it simple to test the stability and reliability of models so that they produce accurate, reliable results. Advanced sampling assessment and testing helps make more statistically valid inferences by incorporating the sample design into survey analysis. Direct marketing and product decision-making tools help marketers identify the right customers easily and improve campaign results. High-end charts and graphs make it easy to create and share and interact with compelling visualizations results on a range of platforms and smart devices. View Prices.
The IBM SPSS Statistics Standard Edition Grad Pack is suitable for most undergraduate coursework, it includes the Advanced Statistics module (inc. Multivariate MANOVA and Repeated Measures) and the Regression module. For more advanced Statistics the complete set of modules/add-ons are contained in the Premium edition. Students worldwide use SPSS Grad Packs to learn statistics, our prices are heavily discounted to ensure students get the best vaule, backed up with great service. The IBM SPSS Statistics Standard Edition Grad Pack includes the following key capabilities:.
Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships. Nonlinear models provide the ability to apply more sophisticated models to data. Simulation capabilities help analysts automatically model many possible outcomes when inputs are uncertain, improving risk analysis and decision making. View Prices.
The IBM SPSS Statistics Base Edition Grad Pack doesn’t contain any additional SPSS modules/add-ons and is suitable only for basic statistical analysis. We don’t recommend purchasing the Base edition unless you are specifically told to do so by your University or Academic Institution. Students worldwide use SPSS Grad Packs to learn statistics, our prices are heavily discounted to ensure students get the best value, backed up with great service. IBM SPSS Statistics Base Grad Pack is statistical analysis software that delivers the core capabilities you need to take the analytical process from start to finish. SPSS Statistics Base Grad Pack provides essential statistical analysis tools for every step of the analytical process for students.
Support for all types of data including very large data sets.;. A comprehensive range of statistical procedures for conducting accurate analysis. Built-in techniques to prepare data for analysis quickly and easily. Sophisticated reporting functionality for highly effective chart creation. Powerful visualization capabilities that clearly show the significance of your findings. A comprehensive range of statistical procedures. Carry out a wide range of descriptive procedures including crosstabulations, frequencies, compare means and correlation.
Predict numerical outcomes and identify groups using factor analysis, cluster analysis, linear regression, ordinal regression, discriminant analysis and Nearest Neighbor analysis. Apply Monte Carlo simulation techniques to deal with uncertainty in predictive models and determine how likely a particular business outcome is when you do not have all of the necessary data. Use SPSS Statistics Base with other modules, such as IBM SPSS Regression and IBM SPSS Advanced Statistics, to more accurately identify and analyze complex relationships. Built-in techniques. Identify and eliminate duplicate cases and restructure your data files prior to analysis. Set up data dictionary information (for example, value labels and variable types) and use it as a template to prepare all of your data for analysis faster.
Open multiple data sets within a single session to save time and condense steps. Sophisticated reporting functionality.
Create commonly used charts, such as scatterplot matrices, histograms and population pyramids, more easily. Drag and drop variables and elements onto a chart creation canvas and preview the chart as it is being built. Build a chart once, and then use those specifications to create hundreds more just like it.
Generate presentation-ready output quickly and easily. Powerful visualization capabilities. Distribute and manipulate information for ad hoc decision-making using report online analytical processing (OLAP) technology. Create high-end charts and graphs to aid analysis and reporting and identify new insights in your data. Use pre-built map templates to generate a geographic or demographic analysis that can provide critical information for decision making.
Quickly change information and statistics in graphs for new levels of understanding, and convert a table to a graph with just a few mouse clicks. View interactive output on a range of devices and platforms, including iPod, iPhone, iPad, Android and Windows 8 smartphones and tablets. Support for all types of data.
Access, manage and analyze any kind of data set including survey data, corporate databases, data downloaded from the web and IBM Cognos Business Intelligence data. Eliminate variability in data due to language-specific encoding and view, analyze and share data written in multiple languages using built-in Unicode support. View Prices. Students worldwide use SPSS Grad Packs to learn statistics, our prices are heavily discounted to ensure students get the best vaule, backed up with great service. IBM SPSS Amos Grad Pack enables you to specify, estimate, assess and present models to show hypothesized relationships among variables.
The software lets you build models more accurately than with standard multivariate statistics techniques. Users can choose either the graphical user interface or non-graphical, programmatic interface. SPSS Amos Grad Pack allows you to build attitudinal and behavioral models that reflect complex relationships. The software:.
Provides structural equation modeling (SEM)—that is easy to use and lets you easily compare, confirm and refine models. Uses Bayesian analysis—to improve estimates of model parameters. Offers various data imputation methods—to create different data sets. View Prices.
Contents. Overview SPSS is a widely used program for in. It is also used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations, data miners, and others. The original SPSS manual (Nie, Bent & Hull, 1970) has been described as one of 'sociology's most influential books' for allowing ordinary researchers to do their own statistical analysis. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a dictionary is stored in the ) are features of the base software. Statistics included in the base software:.:, Descriptives, Explore, Descriptive Ratio Statistics. Bivariate statistics:, (bivariate, partial, distances), tests, Bayesian.
Prediction for numerical outcomes:. Prediction for identifying groups:, (two-step, ),.
Geo spatial analysis, simulation. extension (GUI), The many features of SPSS Statistics are accessible via or can be programmed with a proprietary command syntax language. Command syntax programming has the benefits of reproducible output, 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 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. A 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 'scripts' for most purposes, although SaxBasic remains available. In addition, the Python extension allows SPSS to run any of the statistics in the package. From version 14 onwards, SPSS can be driven externally by a Python or a program using supplied 'plug-ins'.
(From Version 20 onwards, these two scripting facilities, as well as many scripts, are included on the installation media and are normally installed by default.) SPSS Statistics places constraints on internal file structure, and matching files, which together considerably simplify programming. SPSS datasets have a two-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 two data types are defined: numeric and (or 'string'). All data processing occurs sequentially case-by-case through the file (dataset). Files can be matched one-to-one and one-to-many, but not many-to-many.
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In addition to that cases-by-variables structure and processing, there is a separate Matrix session where one can process data as matrices using matrix and linear algebra operations. The 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 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 are more often created in software, or entered during, by scanning and using and software, or by direct capture from. These datasets are then read into SPSS. SPSS Statistics can read and write data from text files (including hierarchical files), other statistics packages,. SPSS Statistics can read and write to external via. Statistical output is to a (.spv file, supporting ) 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, PDF, Excel, and other formats.
Alternatively, output can be captured as data (using the OMS command), as text, tab-delimited text, SPSS dataset or a variety of graphic image formats (, and ). The SPSS logo used prior to the renaming in January 2010. Several variants of SPSS Statistics exist. Are highly discounted versions sold only to students. SPSS Statistics Server is a version of SPSS Statistics with a.
Add-on packages can enhance the base software with additional features (examples include complex samples which can adjust for clustered and stratified samples, and custom tables which can create publication-ready tables). SPSS Statistics is available under either an annual or a license. SPSS Statistics launched version 25 on Aug 08, 2017. SPSS v25 adds new and advanced statistics, such as random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA), and profile plots with error bars within the Advanced Statistics and Custom Tables add-on. V25 also includes new capabilities, a method of statistical inference and publication ready charts, such as powerful new charting capabilities, including new default templates and the ability to share with Microsoft Office applications. Versions and ownership history The software was released in its first version in 1968 as the Statistical Package for the Social Sciences (SPSS) after being developed by, Dale H. Those principals incorporated as in 1975.
Early versions of SPSS Statistics were written in and designed for on, including for example and versions, originally using for data and program input. A processing run read a command file of SPSS commands and either a raw input file of fixed format data with a single record type, or a 'getfile' of data saved by a previous run. To save precious computer time an 'edit' run could be done to check command syntax without analysing the data. From version 10 (SPSS-X) in 1983, data files could contain multiple record types.
Prior to SPSS 16.0, different versions of SPSS were available for,. SPSS Statistics version 13.0 for was not compatible with -based Macintosh computers, due to the causing errors in calculations. SPSS Statistics 15.0 for Windows needed a downloadable hotfix to be installed in order to be compatible with. From version 16.0 the same version runs under Windows, Mac, and Linux. The is written in.
The Mac OS version is provided as a, making it fully compatible with both PowerPC and Intel-based Mac hardware. SPSS Inc announced on July 28, 2009 that it was being acquired by for US$1.2 billion. Because of a dispute about ownership of the name 'SPSS', between 2009 and 2010, the product was referred to as PASW (Predictive Analytics SoftWare). As of January 2010, it became 'SPSS: An IBM Company'. Complete transfer of business to IBM was done by October 1, 2010. By that date, SPSS: An IBM Company ceased to exist.
IBM SPSS is now fully integrated into the IBM Corporation, and is one of the brands under IBM Software Group's Business Analytics Portfolio, together with,. Companion software in the 'IBM SPSS' family are used for and , and realtime. SPSS Data Collection and SPSS Dimensions were sold in 2015 to UNICOM Systems, Inc., a division of, and merged into the integrated software suite (survey design, survey deployment, data collection, data management and reporting). IDA (Interactive Data Analysis) IDA (Interactive Data Analysis) was a software package that originated at what formerly was the National Opinion Research Center , at the. Initially offered on the, somewhat later, under the ownership of SPSS, it was also available on 's. SCSS - Conversational / Columnar SPSS SCSS was a software product intended for online use of IBM mainframes. Although the 'C' was for Conversational, it also represented a distinction regarding how the data was stored: it used a rather than a row-oriented (internal) database.
This gave good interactive response time for the SPSS Conversational Statistical System (SCSS), whose strong point, as with SPSS, was Cross-tabulation. See also., a free SPSS replacement from the References. Quintero, Dino; et al. Nie, Norman H; Bent, Dale H; Hadlai Hull, C (1970).
SPSS Predictive Analytics. 18 July 2017.
Retrieved 15 December 2017. Sachdev, Ameet (September 27, 2009). Chicago Tribune.
2 February 2016. Retrieved 7 June 2017. 31 October 2015. Retrieved 7 June 2017.
or Analyzer. Ling, Robert F; Roberts, Harry V (1975).
'IDA: An Approach to Interactive Data Analysis in Teaching'. The Journal of Business. 48 (3): 411–451. SCSS: A User's Guide to the SPSS Conversational Statistical System. September 26, 1977. Further reading. Argyrous, G.
Statistics for Research: With a Guide to SPSS. London: SAGE. Bryman, Alan; Cramer, Duncan (2011). Quantitative Data Analysis with IBM SPSS 17, 18 and 19: A Guide for Social Scientists. New York: Routledge.
Levesque, R. SPSS Programming and Data Management: A Guide for SPSS and SAS Users (4th ed.). Chicago, Illinois: SPSS Inc. SPSS 15.0 Command Syntax Reference.
Chicago, Illinois: SPSS Inc. 'Doing It Ourselves: The SPSS Manual as Sociology's Most Influential Recent Book'.
In Clawson, Dan. Required Reading: Sociology's Most Influential Books.
External links Wikimedia Commons has media related to. Wikiversity has learning resources about. – library of worked solutions for SPSS programmers (, command syntax; macros; scripts; Python).
– SPSS active since 1996. Discusses programming, statistics and analysis. – Resources for learning SPSS. – Report 1 compares Stata, SAS, and SPSS against R ( is a language and environment for statistical computing and graphics). – Support for developers of applications using SPSS products, including materials and examples of the Python and R programmability features.