SPSS
is a widely used computer program 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 been found to be useful in other fields 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. Majority of students have had a hard time handling their statistics
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
having.
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