SPSS statistical consulting that starts with the research question, not the menu
Syntax, output, diagnostics, and reporting are connected to an explicit analysis plan so the result can be checked and reproduced.
Research problems handled in SPSS
The environment is selected because it fits the workflow and collaborators. The analysis still begins with the question, design, measurement, and data structure.
- Planning and data preparation
- Statistical modeling and diagnostics
- Interpretation and reporting
Methodology before output
Default menus or package calls cannot decide whether a model is suitable. Each workflow records model choice, coding, missingness, exclusions, assumptions, diagnostics, and sensitivity checks.
- Question-to-model alignment
- Documented transformations
- Checks that match the estimand
Reproducibility and handover
Where scope allows, the handover includes readable syntax or scripts, annotated outputs, a decision log, and instructions for rerunning the analysis.
- Reusable analysis file
- Diagnostic summary
- Interpretation and limitations memo
Discuss a SPSS workflow
Bring the research question, design, or existing output. A first review can identify the next statistical decision and the information needed to scope it.