Professional dissertation data analysis support for students and researchers who need clear methods, accurate results, and well-explained findings.
PhD in Statistics. 12+ years helping students analyze survey and experimental data.
Dr. Natalie specializes in complex statistical techniques for dissertations, theses, and research papers. She is proficient in multivariate analysis, factor analysis, ANOVA, and predictive modeling using SPSS, R, Minitab, SAS, and Python. She has helped over 500 students and researchers turn raw data into actionable insights.
Before you run many statistical tests in SPSS, you may need to check whether your data are approximately normally distributed. This step…
Reverse coding is one of the most common data preparation steps in SPSS, especially when working with surveys, questionnaires, and Likert-scale items.…
Descriptive statistics are often the first results you report in a dissertation, thesis, research paper, or class project. They help readers understand…
