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What's New in SPSS 14.0 for Windows
This release significantly updates SPSS for Windows with enhanced data management and reporting capabilities, easier and more powerful forecasting, and expanded structural equation modeling options. For enterprise users, extended programming capabilities and new server functionality make this an important release.
SPSS Base 14.0 for Windows enhancements
Graphics and output
Enhanced reporting capabilities in SPSS 14.0 provide you with a new way to create graphics in SPSS, introduce new chart types, and even enable you to create custom charts.
- Create commonly used charts more easily with the Chart Builder—the new chart creation interface. You can create a chart by dragging variables and elements onto a chart creation canvas. Or use a shortcut method based on an existing chart in the Gallery. Additionally, you can see a limited preview of the chart as it is being built. At creation time, you can use multiple templates, which can be added in any order, and select interpolation types for lines and areas. For easy access in the future, save customized charts in your Favorites.
- Use the Chart Builder to create new chart types:
- 2-D line charts (both axes can be scale axes)
- Charts for multiple response sets
- If you're an advanced user, attain a broader range of chart and option possibilities by using the Graphics Production Language (GPL)
I think SPSS 14.0 represents a significant and important improvement over the previous versions. The ability to open multiple datasets is an excellent new feature that saves me a great amount of time. Also, I have enjoyed the new Chart Builder functionality because it allows me to produce an extensive range of statistical charts and comprehensive graph syntax.
Dennis McBride, PhD
Associate Director for Research
The Washington Institute for Mental Illness Research and Training
University of Washington
Data and access management
More powerful data management in SPSS Base 14.0 provides you with a number of new features to save time, increase accuracy and reliability, work with new file types—and better manage your data. You can now:
- Open multiple datasets within a single SPSS session
- Directly import data from Dimensions™ products, including mrInterview™, and traditional market research products, including Quanvert™
- Import from OLE DB data sources without having to go through ODBC
- Read/write Stata® files
- Read SAS® compressed files
- Easily find and replace text strings in your data using the new find/replace function for transformations
- Better describe categorical data because value label length has increased to 120 bytes, which is double the previous limit
- Clone or duplicate datasets
- Access data in SPSS using the latest versions of popular operating systems and databases. SPSS 14.0 updates the Data Access Pack to Connect ODBC 5.1.
Licensing
Several updates to the licensing features in SPSS Base 14.0 provide your organization with greater flexibility and reliability:
- Ensure primary or high-priority users always have access to the SPSS software they need using network license reservations and priority settings
- Provide "on-the-road access" to SPSS software with a network commuter license
- Set up multiple License Managers for redundancy so that applications are uninterrupted in the case of a failure
New capability: SPSS Programmability Extension™
Use the new SPSS Programmability Extension to control the flow of your syntax jobs using external programming languages. Program code written in an external language can be used to control or make decisions about which syntax is executed based on:
- Variable attributes
- Procedure output
- Data values
- Error codes
For more information, download an overview (PDF) and visit SPSS Developer Central.
New capability: SPSS Adapter for Predictive Enterprise Services
The SPSS Adapter for Predictive Enterprise Services (available in SPSS 14.0.1) enables you to publish and share SPSS syntax and output files through a central repository. Objects can be shared among users, shared with other applications, and tracked using versioning, thus eliminating the need for ad-hoc file systems to manage enterprise-wide assets. Learn more about SPSS Predictive Enterprise Services™.
New SPSS add-on module: SPSS Data Validation™
This new add-on module enables you to streamline the data validation process,
eliminate labor-intensive manual checks—and reach more accurate results. With it, you can easily:
- Identify suspicious or invalid cases, variables, and data values; view patterns of missing data; and summarize variable distributions. With this knowledge, you can determine data validity and remove or correct suspicious cases at your discretion prior to analysis.
- Detect multivariate outliers so that you can further examine them and determine if they should be included in your analyses. The anomaly detection procedure searches for unusual cases based upon deviations from similar cases and gives reasons for such deviations.
SPSS 14.0 has made building charts much easier. With SPSS Data Validation, my data is validated rapidly and in a professional manner, saving me time and labor.
Brian Robertson
Director of Research
Market Decisions
SPSS Trends™ 14.0 enhancements
Obtain easier and more powerful forecasting with improvements to SPSS Trends. You can now:
- Produce accurate time-series models even if you have little or no experience with time-series data. The new Expert Modeler feature in the SPSS Trends add-on module automatically determines which ARIMA (autoregressive integrated moving average process) or exponential smoothing model best fits your time-series and independent variables, eliminating selection through trial and error.
- If you're an experienced time-series modeler, you can use the Expert Modeler to bypass many manual and tedious tests and steps. Or, if you prefer, provide the Expert Modeler with a partial or exact set of parameters to use as it searches for a model.
- Save hours or even days of work because you can model hundreds of time-series variables at once, rather than one series at a time
- Reforecast and re-estimate time-series models when new data is available
SPSS Tables™ 14.0 enhancements
Gain two more ways to display results in SPSS Tables:
- Run significance tests on multiple response variables
- Exclude categories used in subtotal calculations from significance tests on the fly, even when they are displayed (not hidden) in the base table
SPSS Categories™ 14.0 enhancements
The new preference scaling (PREFSCAL) procedure in SPSS Categories enables you to:
- Visually examine the relationship between objects. This procedure enables you to perform multidimensional unfolding on two sets of objects in order to find a common quantitative scale. Developed by the Data Theory Group at Leiden University, this is the only known algorithm that can perform non-metric analyses for ordinal data without giving degenerate solutions (as, for example, ALSCAL does).
Amos™ 6.0 enhancements
Amos provides you with powerful and easy-to-use structural equation modeling (SEM). It enables you to create more realistic models than if you used standard multivariate statistics or multiple regression models alone. You can now easily incorporate Amos 6.0 into your SPSS workflow. Learn what’s new in Amos 6.0.
SPSS Server™ 14.0 enhancements
SPSS Server continues to help your organization increase its productivity by giving you the ability to:
- Create models more quickly and accurately using the predictor selection and naïve Bayes algorithms
- The predictor selection algorithm enables you to reduce the set of variables (or predictors) available to include only those that are most relevant for modeling. This algorithm supports categorical and continuous independent and dependent variables, and accepts very large sets of predictors (up to 100,000).
- The naïve Bayes algorithm also enables you to select predictors to reduce the set of variables (or predictors) available to include only those that are most relevant for modeling. Unlike the feature selection algorithm, however, the naïve Bayes algorithm uses a multivariate model to select predictors. Also, this algorithm is available for categorical-dependent variables only. Predictors can be continuous or categorical, and the algorithm is best used when you have fewer than 200 predictors.
- Use the interface or syntax to score new data in the scoring engine, which assigns predicted values and probabilities to new data using previously created models
- Reduce network traffic and improve performance with the data-free client feature
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