IBM SPSS

IBM SPSS is a statistical tool for quantitative data analysis and offers a wide range of functions, including:

• More complex statistical methods and procedures (t-tests, ANOVA, correlation and regression analysis, curve smoothing, non-parametric tests, discriminant analysis, cluster analysis, reliability analysis, multivariate scaling ALSCAL, multiple responses, etc.)

• The possibility to extend functionalities with custom user functions via scripts or new procedures in different programming languages, e.g. Python, R

• Display of statistical data in maps of the Czech Republic (outlines) at the level of regions, districts, Municipalities with extended competence, and European countries

• Methods for statistical processing of data from questionnaire surveys conducted with complex samples (e.g. multistage)

• Missing value analysis – structure detection, summarization, patterns, missing observations estimation (including multiple imputations)

• Calculation of test reliability by using the bootstrap method

• Models with latent variables estimation (e.g. confirmatory factor analysis) using the structural equation modelling methodology

• Advanced diagnostic methods of the linear regression model (diagnostics of residual assumptions)

• RFM analysis (Recency, Frequency, Monetary) for exploring customer data

• Geospatial analysis methods for exploring relationships between data due to the geographical location

The IBM SPSS licenses were purchased by the Central Library and are available for these faculties: First Faculty of Medicine, Third Faculty of Medicine, Faculty of Pharmacy in Hradec Králové, Faculty of Arts, Faculty of Humanities, Faculty of Social Sciences, Faculty of Physical Education and Sport, Hussite Theological Faculty, Faculty of Education, Faculty of Science.

For more information about IBM SPSS, its features, and the license availability contact the helpdesk of the E-learning Support Center at elearning@cuni.cz. 

IBM SPSS was funded by the Operational Programme Johannes Amos Comenius. Project registration number:CZ.02.01.01/00/22_012/0005514