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SPSS originally expanded to Statistical Package for the Social Sciences. This name represented the original market for the software tool. It was later changed to Statistical Product and Service Solutions, reflecting a wider adoption of SPSS. It is prevalent among researchers for complex statistical data analysis tasks and projects. The SPSS software package was initially popular for managing and statistically analyzing data from social sciences.
Launched initially by SPSS Inc. in 1968, it was later acquired in 2009 by IBM. Now officially known as IBM SPSS Statistics, most users still call it SPSS. From 2015, it bears the brand name IBM SPSS Statistics. It remains the gold standard in data analysis for social sciences. One of the reasons for the popularity of SPSS is its impressively comprehensive user manual and English-like straightforward command language.
Statistics with SPSS
SPSS has a customizable and flexible way to process even the most complex data sets to very high levels of granularity. The researchers then use the processed data to develop predictive models, identify trends, and draw informed conclusions.
SPSS is a competent statistical analysis software for many :
Descriptive statistics – descriptive ratio statistics, frequencies, and cross-tabulation
Numeral outcome estimation – linear regression
Prediction for identifying groups, including methodologies such as cluster analysis and factor analysis
Bivariate statistics – means, correlation, analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), T-tests, and nonparametric tests
Suppose you want to learn the basics of statistics or dive deeper into the advanced topics you encounter. In that case, we have top statistics tutors to help you with those goals. Visit our online statistics tutoring page to learn probability and statistics from top tutors.
Core Functions of SPSS
The four main SPSS programs that help students, researchers, working professionals, and statisticians with complex data analysis are:
1. Statistics Program
SPSS’s Statistics program has a range of essential statistical functions, including cross-tabulation, frequencies, and bivariate statistics.
2. Text Analytics for Surveys Program
The SPSS Text Analytics for Surveys program is a powerful tool for survey administrators to unearth powerful insights from open-ended survey questions’ responses.
3. Modeler Program
Researchers use the SPSS Modeler program for designing and validating predictive models with advanced statistical processes.
4. Visualization Designer
The SPSS Visualization Designer program has graphical tools for creating various visual representations like density charts and radial boxplots. Researchers use these representations to publish and present their survey data with ease.
Other than the four core programs, SPSS has solutions for data management that enable researchers to carry out case selection, extract derived data, and reshape files. It also has a data documentation feature allowing researchers to store a metadata dictionary. The metadata dictionary is a centralized information repository for capturing details like format, origin, meaning, usage, and relationships to other data.
Where is SPSS used?
SPSS started as a program that was excellent in analyzing social sciences related data. After IBM purchased it, its use was extended to many other industries and fields throughout the data analytics process, from data collection and planning to analysis, reporting, and forecasting. The primary sectors that use SPSS for statistical data analysis are:
SPSS Survival Manual – A Step by Step Guide to Data Analysis Using IBM SPSS by Julie Pallant. Publisher – Open University Press
How to Use SPSS – A Step-By-Step Guide to Analysis and Interpretation by Brian C. Cronk. Publisher – Routledge
Discovering Statistics Using IBM SPSS Statistics by Andy Field. Publisher –