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• How to obtain a legitimate IBM SPSS Statistics license (editions, pricing, academic discounts, trial options).
• Free or open-source statistical packages comparable to SPSS (R, PSPP, Jamovi, JASP) and how to migrate SPSS workflows/syntax to them.
• Help performing specific analyses you would do in SPSS (e.g., t-tests, regression, ANOVA, factor analysis) with step-by-step instructions in R, Python (pandas/statsmodels), Jamovi, or JASP.
• How to install and run SPSS legally, troubleshoot licensing or installation errors, or interpret SPSS output.

1. Data Management: SPSS allows users to manage and manipulate data, including data cleaning, data transformation, and data merging.
2. Statistical Analysis: The software offers a range of statistical techniques, including descriptive statistics, inferential statistics, and data modeling.
3. Data Visualization: SPSS provides various data visualization tools, including charts, graphs, and plots, to help users understand and communicate their findings.

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