I can help you conduct quantitative analysis and write dissertation

Why Hire Me?

I specialize in quantitative dissertation support that combines robust statistical analysis with professional academic writing. With 7+ years of experience in data analytics and academic research, I offer:

Key Strengths:

• Clear guidance on formulating research questions and hypotheses

• End-to-end assistance with data collection, cleaning, and analysis

• Expertise in SPSS, Stata, R, Excel, and other statistical tools

• Application of techniques like t-tests, ANOVA, regression, and factor analysis

• Academic writing for methodology, results, discussion, and interpretation

• Experience across sectors including business, education, health, and policy

• Strict adherence to university formatting, citation, and ethics standards

• Timely updates and milestone-based delivery

Whether you're stuck with the methods section or need help interpreting statistical results, I provide personalized, high-quality guidance tailored to your research goals.

What I Need to Start Your Work

To ensure a smooth, structured workflow, I require the following:

1. Dissertation Topic and Research Objectives

• Your dissertation title or problem statement

• Research questions and hypotheses (if already drafted)

2. Scope of Analysis

• Key concepts or variables to be tested

• Theoretical framework or models to be applied

3. Data Requirements

• Data file (if available) or information on how data will be collected

• Target sample size, population, and variables to be analyzed

• Preferred statistical methods (e.g., chi-square, correlation, regression)

4. University Guidelines

• Format, citation style, chapter requirements

• Rubrics or templates provided by your university

5. Current Progress and Pain Points

• Sections completed so far

• Specific areas where you need help (analysis, graphs, writing, etc.)

6. Deadlines and Communication

• Dissertation submission date and internal review dates

• Your preferred mode of contact and frequency of updates

7. Additional Notes

• Preferred software for analysis (if any)

• Feedback from previous drafts or supervisor

• Any academic tone or language preferences