We use cookies to track how our visitors are browsing and engaging with our website in order to understand and improve the user experience. Review our Privacy Policy to learn more. What is SPSS? 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 analysis and factor analysis. Get started with Alchemer today. Start making smarter decisions Contact sales Start a free trial. The Company strengthened its leadership in the analytical marketplace through acquisitions that expanded the depth and breadth of its analytical offerings.
While customers and their industries vary, they share a common need to gather insight from the analysis of data. The Company's analytical technology from its early beginnings has enabled organizations to learn from the past, understand what is happening today and anticipate the future in order to manage it effectively. Bent, distribute tapes of source code to a small, but enthusiastic, user community, while maintenance and enhancement was done by the original authors.
During this start-up phase, the business was organized and a number of development initiatives were undertaken. The business was focused on statistical products, and the acquisition strategy complemented this direction by bringing in other statistical products companies, such as SYSTAT and Jandel SPSS played a thought-leadership role in the emergence during of predictive analytics as an important, distinct segment within the broader business intelligence software sector.
Predictive analytics complements and enhances other information technologies. Organizations that employ predictive analytics not only know what has happened, they also know what is likely to happen next. Most importantly, they know what to do about it by using this knowledge to increase revenue, reduce costs, and improve outcomes.
SPSS saw a growing awareness of these benefits among the commercial, public sector, and academic organizations its serves. To enhance it focus on predictive analytics, SPSS acquired Dutch-based DataDistilleries, a provider of predictive analytic applications in November of In , SPSS a ccelerated the introduction of predictive analytics applications, leveraging skills and integrating technologies from recent acquisitions, including DataDistilleries.
A new version of PredictiveMarketing was introduced, as well as a new application, PredictiveCallCenter. Additional development work set the stage for additional applications to be introduced in Today: SPSS is recognized as a leader in the predictive analytics market space.
The screenshot below illustrates the result. Now, SPSS has a second option for running this or any other command: we can open a third window, known as the syntax editor window.
Like so, SPSS users unfamiliar with syntax can still use it. But why use syntax if SPSS has such a nice menu? The basic point is that syntax can be saved , corrected, rerun and shared between projects or users. Your syntax makes your SPSS work replicable. If anybody raises any doubts regarding your outcomes, you can show exactly what you did and -if needed- correct and rerun it in seconds. Now that we have a basic idea of how SPSS works, let's take a look at what it can do.
Following a typical project workflow, SPSS is great for. SPSS has its own data file format. In real world research, raw data usually need some editing before they can be properly analyzed. Typical examples are creating means or sums as new variables, restructuring data or detecting and removing unlikely observations.
SPSS performs such tasks -and more complex ones- with amazing efficiency. For getting things done fast, SPSS contains many numeric functions , string functions , date functions and other handy routines. All basic tables and charts can be created easily and fast in SPSS.
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