دانلود و نصب جدیدترین ورژن نرم‌افزار SPSS 32

What’s New in IBM SPSS Statistics v32? IBM SPSS Statistics provides a single, integrated environment for data analysis, enabling users to perform everything from descriptive statistics and regression to advanced analytics and machine learning within one platform. Users can create publication‑ready charts, tables, and decision trees in a streamlined workflow, supported by an intuitive interface and built‑in guidance. The platform is designed to balance ease of use with analytical depth, supporting automation, integration with open‑source tools, and enterprise‑level governance. IBM SPSS Statistics Version 32 introduces targeted enhancements across three key areas: advanced analytical capability, improved user experience, and stronger enterprise governance. The release focuses on expanding built‑in methods, reducing reliance on external tools, and simplifying how insights are generated, interpreted, and shared. New Analytical Features Built-in mediation analysis Version 32 introduces a native Mediation Analysis procedure, enabling users to understand how and why an independent variable (X) influences a dependent variable (Y) through a mediator (M). It calculates direct, indirect, and total effects directly within SPSS, reducing reliance on custom syntax or external macros. Menu Location: Analyze > Mediation Analysis Vector autoregressive models (VAR) Vector Autoregressive (VAR) models extend time series analysis into a multivariate framework, allowing multiple interrelated time series to be modelled simultaneously. Each variable is expressed as a function of its own past values and those of other variables, enabling deeper insight into complex temporal relationships. Menu Location: Analyze > Forecasting > Vector Autoregressive Models Bayesian variable selection for regression (extension) This feature applies a Bayesian approach to model selection, comparing models probabilistically and evaluating variable importance using Bayesian methods. This provides a more robust and transparent view of predictor relevance than relying on a single “best” model. To install, go to Extensions > Extension Hub, search for the procedure, and select Get extension. The extension is added to the Generalized Linear Models menu. Menu Location: Analyze > Generalized Linear Models > Bayesian Regression Variable Selection Permutation tests Permutation tests are available for t‑tests, ANOVA, and regression, providing a non‑parametric alternative that does not rely on normality assumptions. These methods are particularly valuable for small samples or non‑standard datasets. Two extensions are available: Independent Samples Permutation T Test Permutation Tests (t‑tests, ANOVA, regression) To install, go to Extensions > Extension Hub, search for the procedure, and select Get extension. Menu Locations: Analyze > Compare Means and Proportions > Independent Samples Permutation T Test Analyze > Regression > Permutation Tests Mixed-type clustering with variable selection (extension) This extension enables clustering across mixed data types while selecting relevant variables and helping determine the appropriate number of clusters. It supports latent class modelling and allows models to be saved and applied to new datasets. A cluster membership variable is automatically created, making it easy to compare clusters across key variables (e.g., spend, engagement). To install, go to Extensions > Extension Hub, search for the procedure, and select Get extension. Menu Location: Analyze > Classify > Mixed‑Type Cluster with Variable Selection Genomic analysis A new Genomic Analysis capability allows users to import and analyse genomic data directly within SPSS. This reduces the need for external preprocessing tools and extends SPSS into life sciences and advanced research use cases. Menu Location: Transform > Genomic Analysis Usability and Output Enhancements Curated help designer The Curated Help Designer enables teams to enhance output tables with annotations, colour coding, and contextual guidance based on value ranges. This supports clearer understanding and consistent interpretation and can be especially useful for training or broader audiences. Simplified chart titles Chart Builder now generates clearer, more concise default titles focused on the variables being analysed, reducing manual editing and improving presentation quality. Enhanced output viewer Users can selectively unhide specific columns in output tables, providing greater flexibility when exploring results without resetting the entire table. Improved statistical interpretation Additional guidance has been embedded within outputs (e.g., asymptotic standard errors in PROPORTIONS), improving clarity and consistency in how results are interpreted. Enterprise and Platform Enhancements Passkey authentication IBM SPSS Statistics Digital supports password‑free authentication using passkeys, providing secure and convenient access aligned with modern identity standards. AI output governance Administrators can disable the AI Output Assistant, supporting environments with strict governance, compliance, or academic requirements. Improved R integration Organisations can define approved CRAN mirror sites to improve reliability and support extension usage in secure or restricted environments. Platform updates Support for Red Hat Enterprise Linux 10, alongside an updated Java runtime, improves performance, compatibility, and long‑term maintainability.