SPSS Software tool

 

What is SPSS

For data management, advanced analytics, multivariate analysis, corporate intelligence, and criminal investigation, IBM created the statistical software suite SPSS Statistics. It was long manufactured by SPSS Inc. before being purchased by IBM in 2009. The brand name for the most recent versions (as of 2015) is IBM SPSS Statistics.

The software's initial name, which represented its target market, was Statistical Package for the Social Sciences (SPSS), which was eventually modified to Statistical Product and Service Solutions.

Even though Alchemer provides robust reporting capabilities that are simple to use and available for most online surveys, NPS surveys, and employee satisfaction surveys, most researchers believe that SPSS is the best-in-class option when it comes to in-depth statistical analysis.

For complex statistical data analysis, a variety of academics employ the statistical package for the social sciences, or SPSS. Data from social science research can be managed and statistically analysed using the SPSS software suite. It was first introduced by SPSS Inc. in 1968, and IBM later purchased it in 2009.

Although it is now formally known as IBM SPSS Statistics, most users still call it SPSS. Due to its simple, English-like command language and incredibly comprehensive user manual, SPSS has become the industry standard for social science data processing.

For processing and analysing survey data, such as what you gather using an online survey platform like Alchemer, SPSS is used by market researchers, health researchers, survey firms, government bodies, education researchers, marketing organisations, data miners, and many more.

To maximise the value of their research and survey initiatives, the majority of leading research firms use SPSS to analyse survey data and mine text data.

 

The Core Functions of SPSS

Four programmes are available through SPSS to help researchers with their complicated data analysis needs.

Program for Statistics

Frequencies, cross-tabulation, and bivariate statistics are just a few of the fundamental statistical operations offered by SPSS's Statistics software.

Modeler Software

Researchers can create and validate predictive models using cutting-edge statistical techniques utilising SPSS's Modeler application.

Program for Text Analytics in Surveys

Administrators of surveys can gain valuable insights from responses to open-ended survey questions with the use of SPSS' Text Analytics for Surveys software.

Designer of visualizations

Researchers can easily produce a wide range of graphics from their survey data using SPSS' Visualization Designer application, including density charts and radial boxplots.

                                                     SPSS LOGO

                                               

                                               

In addition to the four tools listed above, SPSS also offers data management options that let researchers choose cases, produce derived data, and reshape files.

Additionally, SPSS provides data documentation, which enables scientists to keep a metadata dictionary. This metadata dictionary serves as a central repository for details about the data, including its purpose, connections to other data, place of origin, intended audience, and format.

There are a few statistical techniques that may be used with SPSS, such as:

·         Methodologies used in descriptive statistics, include cross-tabulation, frequencies, and descriptive ratio statistics

·         ANOVA, means, correlation, and nonparametric tests are examples of methods used in bivariate statistics.

·         Numerical result forecasting techniques like linear regression.

·         Predicting group identities using techniques like cluster analysis and factor analysis.

JF                                      

The Benefits of Using SPSS for Survey Data Analysis

Because it places a strong emphasis on statistical analysis, SPSS is a very potent tool for modifying and interpreting survey data.

Survey data from Alchemy to the exclusive format of SPSS. Pulling, modifying, and analyzing data is clear and simple with SAV format. Researchers may complete the process considerably more easily because SPSS uses the. SAV format to automatically build up and import the desired variable names, variable types, titles, and value labels.

The possibilities for statistical analysis are essentially limitless once survey data is exported to SPSS. Simply said, use SPSS if you require a versatile, customized method to get incredibly granular on even the most complex data sets. This frees up more time for you, the researcher, to focus on what you do best: recognize trends, create prediction models, and reach wise conclusions.