Dr. Sophia Cohen

Dr. Sophia Cohen is a dissertation statistician who specializes in research methodology design and statistical data analysis for master’s theses and doctoral dissertations. She supports graduate students who need guidance in developing strong research frameworks and conducting reliable statistical analysis for their studies. Sophia works closely with students during the...

Dr. Sophia Cohen is a dissertation statistician who specializes in research methodology design and statistical data analysis for master’s theses and doctoral dissertations. She supports graduate students who need guidance in developing strong research frameworks and conducting reliable statistical analysis for their studies.

Sophia works closely with students during the early stages of research to help structure clear research questions, design appropriate study methodologies, and develop well-constructed questionnaires. She also assists with sampling strategies, variable definition, and statistical power analysis to ensure the research design produces meaningful and defensible results.

Her expertise extends to performing statistical analysis using SPSS, R, and SAS. She supports a wide range of quantitative analyses, including regression models, hypothesis testing, correlation analysis, and multivariate statistical procedures commonly used in academic research.

Sophia ensures that datasets are properly prepared before analysis begins by reviewing variable coding, checking statistical assumptions, and confirming that the selected analytical methods align with the research objectives. She focuses on methodological accuracy so that every analysis directly addresses the study’s research questions and hypotheses.

Beyond performing statistical analysis, Sophia helps students interpret statistical output and translate findings into well-structured results sections that meet university dissertation standards. She provides clear explanations of statistical procedures and results so students can confidently present and defend their research.

Students value her structured approach, methodological expertise, and ability to simplify complex statistical concepts while maintaining strong academic rigor.

Software Specialization: SPSS, R, SAS