Statistical Service

Statistical Analysis for Thesis, Surveys & Research

Clear methods. Honest analysis. Research-ready results. Turn survey or research data into structured findings with SPSS, R, Python, or Excel.

Request a Data Analysis Quote View Services

* Clear analysis. Clean tables. Practical interpretation. No academic shortcuts.

0 50 100 Sample Size (n)
R² = 0.892 (p < 0.001) 95% Confidence Interval

Academic Integrity Notice: This service provides data analysis, statistical guidance, interpretation support and report-ready outputs. It does not include fabricating data, falsifying results, or completing academic work dishonestly. I protect your academic integrity by acting as an advisor and technical analyst, not a shortcut.

Research Obstacles

Stuck on your statistical results?

Many graduate students and academic researchers collect high-quality data but face bottlenecks during the analysis phase. Writing a thesis or research paper requires structured, clean statistical verification.

Research data analysis support
1
Selecting the right test: Confusion between parametric and non-parametric options (regression vs. ANOVA, chi-square models).
2
Messy dataset structures: Dealing with empty variables, raw CSV files, or mislabeled survey scales.
3
Software complexity: Fighting with SPSS syntax errors, R packages, or custom Python scripts.
4
Interpretation & formatting: Turning raw outputs into clear text summaries and APA-style tables when appropriate.
Primary Focus Areas

Data Analysis Services

Methodological support and statistical cleaning tailored for research projects.

Survey Data Analysis

Survey Data Analysis

Analyze questionnaire responses, Likert-scale items, categorical variables, and descriptive frequencies to summarize survey outcomes.

Survey Analysis →
SPSS Analysis

SPSS Analysis

Complete descriptive statistics, reliability tests (Cronbach's alpha), correlation matrices, regression models, ANOVA, and chi-square outputs.

SPSS Support →
R / Python Analysis

R / Python Analysis

Clean, reproducible coding pipelines using RStudio or Jupyter Notebook when a transparent, script-based methodology is required.

R & Python Workflows →
Likert Scale Analysis

Likert Scale Analysis

Evaluate, code, and summarize Likert questionnaires using descriptive aggregates, Cronbach's alpha, and non-parametric testing.

Likert Scale Info →
Thesis & Dissertation Statistics

Thesis & Dissertation Statistics

Comprehensive support for doctoral and master's projects: variable design, custom tables, correlation plots, and clear result interpretations.

Thesis Support →
Excel / CSV Data Cleaning

Excel / CSV Data Cleaning

Prepare messy rows and spreadsheets for analysis: organizing labels, structuring missing responses, and encoding categorical groups.

Clean Your Data →
Workflow

How It Works

A simple, transparent four-step process to obtain clean statistical results.

Step 01

Send your request

Complete the structured form below with your research question, variable setup, target deadline, and tools needed.

Step 02

Review & Alignment

I review your questionnaire, hypothesis, and dataset format to confirm scope, pricing, and exact delivery dates.

Step 03

Analysis & Validation

The data is cleaned, statistical tests are executed, and outputs are generated according to research standards.

Step 04

Receive report-ready files

You receive clean tables, descriptive charts, interpretation summaries, and code scripts (where applicable).

Packages

Analysis Packages

Straightforward, from-based pricing structure to suit different study scopes.

Diagnostic

Data Audit

From $49

Best for checking variables, verifying hypotheses, and structuring files before running tests.

  • ✔ Dataset structure review
  • ✔ Variable distribution check
  • ✔ Suggested statistical plan
  • ✔ Written diagnostic feedback
Popular
Research Core

Survey / Thesis Analysis

From $149

Best for students and researchers needing complete, structured outputs from survey or thesis datasets.

  • ✔ Comprehensive data cleaning
  • ✔ Descriptive & frequency reports
  • ✔ Selected hypothesis testing
  • ✔ Clear tables and charts
  • ✔ Summary interpretation notes
Full Service

Full Research Data Report

From $299

Best for projects requiring complete statistical analysis, interpretation help, and report-ready chapters.

  • ✔ Standard data cleaning
  • ✔ Full statistical models
  • ✔ Custom charts & export plots
  • ✔ Comprehensive interpretation
  • ✔ Structured results outline
  • ✔ Optional reproducible script files
Advanced Projects

Custom / Advanced Analysis — By quote

Designed for complex research designs, large-scale studies, or specialized methodologies, including:

  • Large datasets and many variables
  • Advanced regression modeling
  • Mediation or moderation analysis
  • Mixed and multilevel models
  • Complex thesis or dissertation projects
  • Urgent deadlines and rush processing
  • Custom R, SPSS, or Python workflows
Get a Custom Quote

* Note: Final pricing depends on dataset size, number of variables, analysis complexity, deadline and required deliverables. Urgent deadlines may require a rush fee.

Compatibility

Tools & Guidelines

Flexible workflows designed around widely-accepted data environments.

SPSS R / RStudio Python / Jupyter Notebook Microsoft Excel Google Sheets CSV files APA-style tables when appropriate

This service is for:

  • ✔ Undergraduates, master's, and doctoral candidates needing statistics help.
  • ✔ Researchers analyzing survey questionnaires or Likert scales.
  • ✔ Small research teams looking for transparent data processing.
  • ✔ Professionals needing structured charts and data summaries.

This service is NOT for:

  • ✘ Requests to fabricate data, invent results, or copy external work.
  • ✘ Guarantees of specific course grades or exam marks.
  • ✘ Emergency same-day assignments without instructions or files.
  • ✘ Handing over full ownership of the academic research responsibility.

Request a Data Analysis Quote

Provide your project parameters below. I will check the scope and email you a response with pricing and delivery timelines.

ℹ File sharing note: You can describe your project parameters now. Datasets and questionnaires can be shared later via secure email after the project scope is approved.

Common Questions

Frequently Asked Questions

Honest answers about the statistical services provided.

Yes. I work with undergraduate and graduate researchers to analyze survey results. This includes cleaning dataset files, sorting nominal and ordinal scales, and executing appropriate statistical tests to address hypotheses.
Yes. I support data analysis in SPSS, RStudio scripting, Python scripts (pandas, statsmodels, scipy), and Microsoft Excel. You can choose your preferred environment in the quote form.
Yes. Likert-scale responses require careful statistical encoding. I calculate scale reliability using Cronbach's alpha, organize ordinal aggregates, write summaries, and perform non-parametric tests like Wilcoxon or Spearman correlation when normal distributions are not assumed.
Yes. If you are uncertain how to verify your hypotheses, I will review your variables (independent vs. dependent) and structure an analysis plan detailing whether to apply regression, ANOVA, chi-square, or t-tests.
No. I do not write papers, complete academic assignments, fabricate data, or guarantee specific grades. This service provides technical statistics support, data cleaning, outputs (charts, tables), and clear explanations. The final analysis write-up remains the student's responsibility.
You will need to provide your dataset (CSV, Excel, SPSS format), your survey questions, and your research questions. Please do not send files through the initial contact form; I will coordinate secure file sharing after discussing the initial scope.
Yes. I clean messy Excel data, sort missing observations, label categorical groups, and format variables so they are completely ready for import into SPSS, R, or Python.
Yes. I provide structured summaries, high-resolution charts, and report-ready tables. I also supply interpretation guidelines explaining the statistical significance (p-values, coefficients) so you understand your results.

Academic Ethics

This service supports responsible analysis, interpretation guidance, and methodological clarity. I do not engage in data fabrication, plagiarism, or cheating.

Confidentiality

Your datasets, questionnaires, research drafts, and project details are treated with care and never shared with third parties.

No Professional Claims

This service provides academic and survey statistics support. All interpretations should be reviewed in the context of your specific research framework.