IBM SPSS Statistics Base - Essential tools for statistical analysis
IBM SPSS Statistics Base is statistical analysis software that delivers the core capabilities you need to take the analytical process from start to finish. It is easy to use and includes a broad range of procedures and techniques to help you increase revenue, outperform competitors, conduct research and make better decisions.
SPSS Statistics Base provides essential statistical analysis tools for every step of the analytical process.
IBM SPSS Advanced Statistics - Powerful modeling techniques for analyzing complex relationships
IBM SPSS Advanced Statistics provides univariate and multivariate modeling techniques to help users reach the most accurate conclusions when working with data describing complex relationships. These sophisticated analytical techniques are frequently applied to gain deeper insights from data used in disciplines such as medical research, manufacturing, pharmaceuticals and market research.
SPSS Advanced Statistics provides the following capabilities:
IBM SPSS Bootstrapping - Create More Reliable Models and Generate More Accurate Results
IBM SPSS Bootstrapping makes it simple to test the stability and reliability of your models so that they produce accurate, reliable results.
Whether you conduct academic or scientific research, study issues in the public sector or provide the analyses that support business decisions, it's important that your models are stable. Test model stability quickly and easily with IBM SPSS Bootstrapping.
IBM SPSS Bootstrapping provides an efficient way to ensure that your models are stable and reliable, so your analysis generates more accurate results. With IBM SPSS Bootstrapping, you can:
IBM SPSS Categories - Predict outcomes and reveal relationships in categorical data
IBM SPSS Categories provides you with all the tools you need to obtain clear insight into complex categorical and numeric data, as well as high-dimensional data.
Use IBM SPSS Categories to understand which characteristics consumers relate most closely to your brand, or to determine customer perception of your products compared to other products you or your competitors offer.
IBM SPSS Complex Samples - Correctly and easily compute statistics for complex sampling
IBM SPSS Complex Samples helps make more statistically valid inferences by incorporating the sample design into survey analysis.
IBM SPSS Complex Samples provides the specialized planning tools and statistics you need when working with complex sample designs, such as stratified, clustered or multistage sampling.
This module of IBM SPSS Statistics is an indispensable for survey and market researchers, public opinion researchers or social scientists seeking to reach more accurate conclusions when working with sample survey methodology. You can more accurately work with numerical and categorical outcomes in complex sample designs using two algorithms for analysis and prediction. In addition, you can use this module’s techniques to predict time to an event.
IBM SPSS Conjoint - Easily Discover What People Value
IBM SPSS Conjoint gives you a realistic way to measure how individual product attributes affect people’s preferences.
With IBM SPSS Conjoint, you can easily measure the tradeoff effect of each product attribute in the context of a set of product attributes – as consumers do when making purchasing decisions.
For example, you can answer critical product market research questions:
You can answer all of your questions before you spend valuable resources trying to bring products or services to market. Use IBM SPSS Conjoint to focus your efforts on the service or product development that has the best chance of succeeding.
IBM SPSS Conjoint gives you all the tools you need for developing product and service attribute ratings. You can use its three procedures to:
IBM SPSS Custom Tables - Easily analyze and communicate your analytical results
IBM SPSS Custom Tables helps you easily understand your data and quickly summarize your results in different styles for different audiences.
More than a simple reporting tool, IBM SPSS Custom Tables combines comprehensive analytical capabilities with interactive table-building features to help you learn from your data and communicate the results of your analyses as professional-looking tables that are easy to read and interpret.
IBM SPSS Data Preparation - Improve Data Preparation for More Accurate Results
IBM SPSS Data Preparation gives analysts advanced techniques to streamline the data preparation stage of the analytical process. IBM SPSS Statistics Base, IBM SPSS Data Preparation provides specialized techniques to prepare your data for more accurate analyses and results.
With IBM SPSS Data Preparation, you can:
IBM SPSS Decision Trees - Easily identify groups and predict outcomes
The IBM SPSS Decision Trees module helps you better identify groups, discover relationships between them and predict future events.
This module features highly visual classification and decision trees. These trees enable you to present categorical results in an intuitive manner, so you can more clearly explain categorical analysis to non-technical audiences.
IBM SPSS Decision Trees enables you to explore results and visually determine how your model flows. This helps you find specific subgroups and relationships that you might not uncover using more traditional statistics. The module includes four established tree-growing algorithms.
Use IBM SPSS Decision Trees if you need to identify groups and sub-groups. Applications include:
IBM SPSS Direct Marketing - The analytical toolkit marketers need to easily identify the right customers and improve campaign results.
IBM SPSS Direct Marketing helps you understand your customers in greater depth, improve your marketing campaigns and maximize the ROI of your marketing budget.
Conduct sophisticated analyses of your customers or contacts easily – and with a high level of confidence in your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing. The software’s intuitive interface enables you to:
IBM SPSS Exact Tests - More Accurately Analyze Small Datasets or Those with Rare Occurrences
IBM SPSS Exact Tests gives you what's needed to more accurately work with small samples and analyze rare occurrences in large datasets.
IBM SPSS Exact Tests enables you to use small samples and still feel confident about the results. With the money saved using smaller sample sizes, you can conduct surveys or test direct marketing programs more often. Stay ahead of the competition by using these resources to find new opportunities.
Easily Interpret and Apply Exact Tests
IBM SPSS Exact Tests is easy to use. You can perform a test any time, with just a click of a button – during your original analysis or when you rerun it. With IBM SPSS Exact Tests, there is no steep learning curve, because you don't need to learn any new statistical theories or procedures. You simply interpret the exact tests results the same way you already interpret the results in IBM SPSS Statistics Base.
You'll always have the right statistical test for your data situation. IBM SPSS Exact Tests provides more than 30 exact tests, which cover the entire spectrum of nonparametric and categorical data problems for small or large datasets. These tests include one-sample, two-sample and K-sample tests on independent or related samples, goodness-of-fit tests, tests of independence in RxC contingency tables and on measures of association.
IBM SPSS Forecasting - Build Expert Time-series Forecasts -- in a Flash
IBM SPSS Forecasting enables analysts to predict trends and develop forecasts quickly and easily -- without being an expert statistician.
Reliable forecasts can have a major impact on your organization’s ability to develop and implement successful strategies. Unlike spreadsheet programs, IBM SPSS Forecasting has the advanced statistical techniques needed to work with time-series data regardless of your level of expertise.
IBM SPSS Missing Values - Build Better Models When You Estimate Missing Data
IBM SPSS Missing Values is used by survey researchers, social scientists, data miners, market researchers and others to validate data.
Missing data can seriously affect your models – and your results. Ignoring missing data, or assuming that excluding missing data is sufficient, risks reaching invalid and insignificant results. To ensure that you take missing values into account, make IBM SPSS Missing Values part of your data management and preparation.
IBM SPSS Neural Networks - Find More Complex Relationships in Your Data
IBM SPSS Neural Networks offers non-linear data modeling procedures that enable you to discover more complex relationships in your data.
Using the procedures in IBM SPSS Neural Networks, you can develop more accurate and effective predictive models. The result? Deeper insight and better decision making.
What is a neural network?
A computational neural network is a set of non-linear data modeling tools consisting of input and output layers plus one or two hidden layers. The connections between neurons in each layer have associated weights, which are iteratively adjusted by the training algorithm to minimize error and provide accurate predictions.
Complement traditional statistical techniques
The procedures in IBM SPSS Neural Networks complement the more traditional statistics in IBM SPSS Statistics Base and its modules. Find new associations in your data with Neural Networks and then confirm their significance with traditional statistical techniques.
IBM SPSS Regression - Improve Predictions with Powerful Nonlinear Regression Software
IBM SPSS Regression enables you to predict categorical outcomes and apply a wide range of nonlinear regression procedures.
You can apply IBM SPSS Regression to many business and analysis projects where ordinary regression techniques are limiting or inappropriate: for example, studying consumer buying habits or responses to treatments, measuring academic achievement, and analyzing credit risks.
IBM SPSS Regression includes the following procedures:
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