Tips – all SPSS Statistics modules
Hi, here is a very short overview of all IBM SPSS Statistics modules :
Colors you see in the picture above is green for preparation, red for basics, blue for multiple methods and pink for special module.
Data preparation – find errors or outliers and correct them
Missing Values – see if there are serious internal missing values from your questionnaire and ability to replace the missings
Complex Samples – planning and statistics tool to get stable statistics measures in complex samples.
Base – most common types of statistics like descriptive, tests and relationships
Exact Tests – univariate test for very small or skewed samples,
Regression – nonlinear regression models
Advanced Statistics – advanced mean values comparisons between groups or repeatings (ANOVA, GENLIN, GLM) and survival analysis
Decision Trees – find the most important characteristics that explain your differences in one click, instead of doing 100s of crosstables
Forecasting – study trends at time based observations and predict the future like for example sales numbers next week.
Categories – advanced study of categorical variables (ex the popular correspondence analysis)
Bootstrapping – getting stable result when using simpler or more advanced models in small samples.
Conjoint – typically for marketing research to find out the characteristics people want on products.
AMOS – structural equation models like a mix of multiple linear regression and factor analysis where you study soft and hard data at the same time.
Neural Networks– advanced multiple data mining model
Direct marketing – for marketing departments where no statistics knowledge is needed, to find the most valuable customers and who are going to answer the campaigns.