The IBM SPSS Statistics Standard Edition enables you to quickly “slice and dice” your data.
- Probit analysis – Evaluate the value of stimuli using a logit or probit transformation of the proportion responding.
- Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) – Estimate parameters of nonlinear models.
- Binary logistic regression – Easily classify your data into two groups.
- Multinomial logistic regression (MLR) – Predict categorical outcomes with more than two categories.
- You can also apply more sophisticated models to your data using a wide range of nonlinear regression models, using these procedures: The IBM SPSS Statistics Standard Edition features a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships, including:
With the IBM SPSS Statistics Standard Edition, you can get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of procedures to help clarify relationships between variables, create clusters, identify trends and make predictions.