Statistical consultation and analysis
Begin with a consultation, then review a scoped analysis and its research deliverables before approving paid work.
Statistical consultation
Clarify the question and available materials, then review a written recommendation before deciding whether to buy an analysis.
Data analysis & academic write-up
Analyze collected data against the agreed research questions, with documented choices and readable findings.
Two connected stages
Start with a statistical consultation to clarify your research aims, questions, hypotheses, variables and available materials. The initial consultation is free. Its report and itemized quote describe a possible analysis before you approve paid work.
Statistical analysis and research deliverables
The analysis service can include data preparation, descriptive statistics, Cronbach's alpha reliability checks, exploratory factor analysis when appropriate, assumption checks, hypothesis tests and selected additional analyses. The approved quote determines the scope.
Depending on that scope, the work can produce a findings chapter with tables and figures, a completion draft for the statistical methods section, findings-based discussion guidance, data and output files, a record of assumptions and decisions, and explanations of the analytical process. Discussion guidance is not a full discussion chapter or literature review. Explore the deliverables.
Prepare for a useful consultation
Bring a short study description, research questions and hypotheses, questionnaire or instrument, a data file if collected, a variable dictionary and any supervisor requirements. The data-preparation guide explains a practical handoff. The pricing page shows the component and per-hypothesis rates. Ordering is not yet open on this site.
See the service through a research project
The basic study follows 180 participants through scale reliability, descriptive statistics and one Pearson correlation hypothesis. The advanced study adds exploratory factor analysis, three hypotheses including multiple regression, and a separately specified supplementary analysis. Open the original inputs and complete output packages to compare the two scopes before sharing your own materials.