New Predictive Solutions features
New features in survey research execution
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New feature – PS SURVEY API TRACE – is a functionality that provides full control and transparency of communication between PS QUAESTIO PRO and external systems. It allows users to view, in real time, which API requests are being sent and what responses are returned by the survey system at each stage of completing a questionnaire. Thanks to the interactive survey preview and detailed presentation of data in JSON format, users can easily test integrations, verify the correct operation of surveys, and quickly identify validation errors. It is particularly useful for IT teams, system integrators, analysts, and all users working with surveys integrated with CRM systems, web applications, or mobile apps, for whom reliable and predictable data exchange is essential.
New feature – PS SURVEY API TRACE
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New AutoComplete Question Type – a new type of question which, when entering text in open-ended questions, suggests answers based on a defined list of values. Dynamic real-time suggestions reduce the time needed to complete the survey, limit the number of errors and ensure data consistency – especially with long lists, such as countries or administrative units.
Dynamic suggestions at AutoComplete question type
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- Improvements to ISA operation and bug fixes – improvements have been made to the layout of the research management module. Fix Pack 2 and an Interim Fix patch have also been applied to optimize existing functionality, resolve identified issues, and further strengthen security, ensuring a more stable and reliable working environment.
- Compatibility with Microsoft Server 2025 and Microsoft SQL Server 2025 – compatibility with the latest versions of the Microsoft platform facilitates infrastructure upgrade planning and system maintenance in a manufacturer-supported environment, enabling the use of the latest security patches.
New procedures and a new chart in the Predictive Solutions menu
- Replace names – a procedure that allows you to organize and customize variable names in a dataset. It enables, among other things, adding prefixes and suffixes, anonymisation, character conversion and case change. Additional options, such as test mode, duplicate handling and automatic repair of incorrect names, ensure security and full control over the process.
- Moving measures – a procedure that allows you to analyze changes in data over time using a moving window. Various moving statistics are available to the user, such as: sum, mean, median, minimum, maximum, standard deviation, variance, and coefficient of variation. For selected variables, you can specify the timeframe span (the number of periods taken into account in the calculation of statistics), which allows you to smooth the data, remove random spikes and more easily identify trends in the time series.
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MR Bar Chart – the bar chart MR is a bar chart designed to present the results of multiple-choice questions, which often appear in surveys. Questions of this type can be difficult to show in a visualization because the percentages do not necessarily add up to 100%—each respondent can select more than one answer. This type of data also allows for the use of two bases for calculating the percentage of the total number of respondents or answers. One of the advantages of the new form of visualization is the ability to simultaneously show the percentage of answers (what share of all answers a given category represents) and the percentage of respondents (what percentage of people selected a given option). This allows the results to be presented in a more complete and easier to interpret way.
MR Bar Chart (Assets owned by respondents)
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Table MR Bar Chart – the table MR bar chart is a tool designed to present the results of multiple choice questions in the form of a table supplemented with bar charts. This combination provides the user with both numerical values and their graphical representation, which facilitates the comparison of answers and interpretation of results. As with a standard MR bar chart, it is possible to show both the percentage of responses (the share of all responses given to a given category) and the percentage of respondents (the percentage of people who selected a given option). The percentages of respondents do not necessarily add up to 100%, as each respondent can select more than one answer. The table chart can also be enhanced with the number of responses in each category and cell coloring, which allows you to quickly spot significant differences in the data.
Table MR Bar Chart (Assets owned by respondents)
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Export results – a procedure that allows you to quickly export tables and charts to graphic files – both raster and vector. It allows you to easily prepare the resulting objects for presentations or reports, e.g. PowerPoint or Word. The export preserves the appearance of the PS IMAGO PRO results window, without losing formatting and with high quality of the output objects. The user can select the file format and how they are named.
The window for the procedure Export results
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New IBM SPSS Statistics 31.0 features
New analytical procedures
- Bland-Altman analysis – a graphical method used to compare two ways of measuring the same value, e.g., two devices or research methods. It helps to check how consistent the results are by showing both the difference between them (systematic error) and how much they differ from each other (range of variability of results).
- Distance correlation – a new measure that allows you to examine the relationship between two variables independently of their shape. It detects both classic linear relationships and more complex patterns, such as curvilinear or irregular ones. Thanks to this measure, you can detect relationships that would remain hidden in classic correlation coefficients. This measure provides a more complete picture of the data and better responds to the challenges of practical analyses, where real-world processes are rarely perfectly linear.
- Proximity mapping – a visualization technique that allows for the reduction of data dimensionality and the representation of relationships between objects in a spatial configuration. It allows you to see the relationships between objects – e.g., research subjects or products – and how close they are to each other in the analyzed structure. It is particularly useful in exploratory analyses, where it is important to capture similarities and differences between units.
Improvements to individual procedures
- Chi-square independence test – now available as a separate procedure (ChiSquare) in the Descriptive Statistics menu, as well as in the new CHISQUARE INDEPENDENCE syntax.
- Levene's test of homogeneity of variance – added as an option in the Independent Samples t-test procedure, allows you to assess the equality of variance in the compared groups.
- Coefficient of Variation (CV) – Ratio of standard deviation to mean expressed as a percentage, available in the Frequency and Descriptive Statistics procedures, as well as in the Complex Samples module.
- Fill Image – New option in the Chart Properties window, allowing you to add background images to charts.
General improvements
- Dark mode – a New interface appearance option that allows you to customize the analytical environment to your preferences and working conditions.
- Ergonomic improvements – including the ability to change the properties of multiple variables simultaneously in the Variables view and new output composition configuration options that allow you to save your favorite table, chart, and results view styles as ready-made sets.
Performance and technical environment
- Key technical components have been updated – Python (to version 3.13.1), Java JRE/JDK (to version 17.0.13), and R (to version 4.4.1). These updates improve stability, security, and compatibility with external extensions.
- Other new features – normality analysis, improvements in correlation table handling (pairwise, partial, distance, canonical, linear regression), multivariate adaptive regression using spline functions, time series filters, conditional inference tree, text scaling for 4K monitors in Windows, redesigned status bar and new icons in the toolbar (with options to stop the process and filter), ability to find and replace in multiple selected columns simultaneously, new application icons on macOS (SPSS, Python, R, student version).