
Advanced Statistical Analysis & Publication-Ready Reporting
Starting at
$
300
About this service
Summary
FAQs
Why choose this service?
Finding a statistician who understands both the math and the methodology is rare. I bridge that gap to ensure your research is accepted without statistical revisions. My Process: • Data Hygiene: Rigorous cleaning, coding, and assumption testing (normality, outliers) before analysis begins. • Advanced Execution: Running the analysis using the industry-standard software best suited for your specific data (R, Stata, SPSS, or LISREL). • Full Reporting: I don't just send numbers. I deliver a complete "Results" chapter with APA-style tables, high-resolution figures, and clear English interpretation of every finding. Core Competencies: • Structural Equation Modeling (SEM) & Path Analysis • Confirmatory Factor Analysis (CFA) & Scale Validation • Time-series & Panel Data Analysis • Multivariate Regression & ANOVA/MANOVA Software Proficiency: SPSS, AMOS, LISREL, STATA, R, and Excel.
Is my research data safe with you?
Absolutely. I adhere to strict academic and professional ethical guidelines. I treat all data as strictly confidential, I am happy to sign a Non-Disclosure Agreement (NDA).
What happens if my supervisor or a journal reviewer requests changes?
I stand by the quality of my work. If a reviewer raises questions specifically regarding the statistical methods or validity of the analysis I conducted, I will help you address those comments and re-run the necessary tests to ensure acceptance.
My data is "messy" and hasn't been cleaned yet. Can you help?
Yes. Every project starts with a data hygiene phase. I will clean the dataset, handle missing values, check for outliers, and ensure all assumptions are met before running any advanced models. If the data has critical issues, I will alert you immediately.
What's included
The Main Report
A comprehensive report containing APA-formatted tables and high-resolution figures (charts/graphs). Includes a detailed written interpretation of all findings and statistical significance.
Methodology & Technical Write-up
A rigorous explanation of how the analysis was conducted. This covers model specifications, assumptions tested, and the step-by-step statistical procedures used to ensure validity.
Reproducible Source Code & Output Logs
Complete transparency files ensuring reproducibility. Depending on your preference, this includes annotated Stata Do-files, R scripts, or clean SPSS syntax and output logs.
Duration
3 days
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