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The primary function of the Field Operation Node in SPSS Modeler is to manipulate and transform data fields. This node is designed to allow users to perform various operations on the dataset, such as computing new fields, modifying existing fields, filtering data, and aggregating observations. By using this node, analysts can preprocess data in a way that makes it more suitable for building predictive models.

Manipulation and transformation of data fields are essential in predictive analytics, as they ensure that the dataset accurately reflects the attributes needed for analysis, enhances data quality, and improves model performance. This can involve tasks like changing variable types, applying mathematical functions, handling missing values, and more, which are crucial steps before further analysis or model building.

The other options involve tasks that are not the main focus of this node. While statistical tests, exporting model results, and creating new data sources are indeed important functions within the broader data analysis workflow, they are not the specific role of the Field Operation Node in SPSS Modeler.