SPSS is a widely used computer software package for statistical analysis and for statistics students aspiring to venture into the job market, this is a must have tool for any data analyst. SPSS whose original name stood for Statistical Package for Social Sciences was mainly built for use in the social sciences. Over the years, however, this tool has proven to be useful in other fields as well where it’s used for Marketing research, health research, educational and governmental researches, data mining and many others.
In addition to statistical analysis, SPSS
is also useful in data management and data documentation. Some of these
processes entail case selection, file reshaping, creating derived data. Some of
the key branches of statistics handled by the software include:
· Descriptive statistics:
Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio
Statistics
·
Bivariate statistics:
Means, t-test, ANOVA, Correlation (bivariate, partial, distances),
Nonparametric tests, Bayesian
· Prediction
for numerical outcomes: Linear regression
· Prediction
for identifying groups: Factor analysis, cluster analysis
(two-step, K-means, hierarchical), Discriminant
· Geo
spatial analysis, simulation
· R
extension (GUI), Python
As handy a tool it may be, getting to
understand and master the key concepts of SPSS has proven not to be such an
easy task for majority of statistics students. Students have had a hard time
handling their SPSS assignment the right way with some not knowing what to
write in some of these assignments. Some assignments prove to be too complex to
be handled by the amateur statisticians and we really can’t blame them for the
poor grades most end up with.
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