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PSPPLinux vs SPSSWindows

PSPP als Linux-Alternative zu SPSS

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Unser Fazit

PSPP is a solid replacement for SPSS if you rely on core statistical functions and want to avoid licensing costs. It handles descriptive statistics, t-tests, ANOVA, regression, and factor analysis reliably, and its SPSS-compatible syntax means existing scripts often run with minimal changes. However, advanced or newer SPSS modules like mixed models, complex sampling, or some graphical features aren't available. Academics and students doing standard analyses will find PSPP sufficient, especially with large datasets, but those dependent on SPSS-specific add-ons or advanced procedures may need to supplement with other tools or accept limitations.

Funktionsabdeckung75%
Lizenz
GPL-3.0+
Preis
Kostenlos
Aktuelle Version
2.1.2 (19. September 2026)
Bewertung
—
Screenshot von PSPP
GNU PSPP Variable View

Was gleich funktioniert

  • Supports SPSS-compatible .sav files and syntax commands
  • Provides GUI and command-line interfaces resembling SPSS
  • Performs core statistical analyses: t-tests, ANOVA, regression, factor analysis
  • Handles large datasets with no artificial limits on cases or variables
  • Exports output to PDF, HTML, and OpenDocument formats

Was anders ist

  • Missing advanced SPSS modules like generalized linear models (GLM) with complex link functions
  • No built-in support for mixed-effects models or advanced survey weighting
  • Graphical output is functional but less polished and customizable than SPSS
  • Fewer built-in templates for report formatting
  • Smaller community and less documentation compared to SPSS

Ihre SPSS-Dateien öffnen

PSPP can open and save SPSS .sav data files directly, preserving variable labels, value labels, and missing value definitions. It also reads SPSS syntax (.sps) files, allowing many existing scripts to run unmodified. Exporting back to .sav is supported, making collaboration with SPSS users feasible. CSV, spreadsheets, and databases are importable via GUI or command. Output formats include PDF, HTML, and TeX, though exact formatting may differ slightly from SPSS.

Von SPSS zu PSPP wechseln – Schritt für Schritt

  1. Install PSPP via your package manager or Flathub
  2. Open your existing .sav files directly in PSPP
  3. Test your .sps syntax scripts in PSPP's syntax editor
  4. Verify output for key analyses like regression or ANOVA
  5. Use the GUI to adjust variable properties if needed
  6. Export results to PDF or HTML for reporting

Wichtige Funktionen von PSPP

  • Unterstützt über 1 Milliarde Fälle und Variablen
  • SPSS‑kompatible Syntax und Datenformate (.sav)
  • Grafische und Befehlszeilen‑Schnittstellen
  • Deskriptive Statistik, T‑Tests, ANOVA, Regression, Faktorenanalyse
  • Datenimport aus CSV, Tabellenkalkulationen und Datenbanken
  • Ausgabe nach PDF, HTML, TeX, OpenDocument und mehr
  • Mehrsprachige Oberfläche mit voller UTF‑8‑Unterstützung
  • Gleichzeitiges Bearbeiten mehrerer Datensätze

PSPP unter Linux installieren

Flatpak (Flathub)flatpak install flathub org.gnu.pspp
Ubuntu / Mintsudo apt install pspp
Debiansudo apt install pspp
Fedorasudo dnf install pspp
openSUSEsudo zypper install pspp

Häufige Fragen

Can PSPP run SPSS syntax files?

Yes, PSPP supports most SPSS syntax commands. Basic and intermediate scripts for data manipulation and analysis usually run without changes, though some advanced or proprietary SPSS extensions may not be recognized.

Is PSPP stable with large datasets?

Yes. PSPP is designed to handle datasets with over a billion cases and variables. Performance remains solid on 64-bit systems, and memory management is efficient for typical academic and survey data.

Does PSPP have a graphical interface like SPSS?

Yes. PSPP includes a GUI similar to SPSS, with data and variable views, menus for analysis, and output windows. It’s functional but less refined than SPSS, especially for complex visualizations.

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