What exactly is SPSS?

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While Alchemer includes powerful built-in reporting options that are simple to use and present for most internet surveys, NPS surveys, and employee satisfaction surveys, most researchers consider SPSS to be the best-in-class solution for in-depth statistical analysis.

SPSS is for Statistical Package for the Social Sciences, and it's a statistical data analysis programme utilised by a variety of scholars. In the social sciences, SPSS is a software suite for data administration and statistical analysis. SPSS Inc. released it in 1968, and IBM bought it in 2009.

Although the official name is IBM SPSS Statistics, most users still refer to programme as SPSS. Because of its straightforward, English-like command language and thorough user manual, SPSS is often recognised as the gold standard for social-science data processing.

Market researchers, health researchers, survey firms, government bodies, education researchers, marketing organisations, data miners, and others utilise SPSS to handle and analyse survey data collected with an online survey platform like Alchemer.

To get the most out of their research and survey initiatives, the majority of leading research organisations utilise SPSS to analyse survey data and mine text data.

SPSS's Primary Features

SPSS has four applications that can help you with complicated data analysis.

Program on Statistic

Frequencies, cross-tabulation, and bivariate statistics are only a few of the fundamental statistical procedures available in SPSS's Statistics application.

Program for Modeling

Researchers may use complex statistical processes to construct and evaluate prediction models with SPSS's Modeler application.

Program for Text Analytics in Surveys

The Text Analytics for Surveys tool from SPSS assists survey administrators in gaining valuable insights from open-ended survey replies.

Visualization Designer

The Visualization Designer software in SPSS allows researchers to easily produce a range of graphics from their survey data, such as density charts and radial boxplots.

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