Instructional guidance on analytic frameworks, assumptions, and alignment with research questions and methodology.
Coaching on common mixed-methods designs and how qualitative and quantitative components are typically integrated and explained in academic writing.
Tutoring on the purpose, assumptions, and interpretation of power analysis, including how results are commonly reported.
Editorial guidance on formatting the analysis section, including organization, table and figure placement, and alignment with style and institutional requirements.
Instructional tutoring on the use and interpretation of commonly referenced tools such as SPSS, SAS, Stata, R, and AMOS.
Conceptual tutoring on commonly used methods (e.g., ANOVA, MANCOVA, correlation, regression, path analysis, SEM), with emphasis on assumptions, interpretation, and reporting rather than execution.
Advisory guidance on best practices for organizing datasets and documenting analytic decisions. We do not design databases or enter data.
Coaching on how results are typically summarized and presented in academic writing. We do not write results sections or interpret findings on a student’s behalf.
One-on-one tutoring focused on understanding statistical concepts relevant to the student’s study and program requirements.
How Our Statistical Consultants
Support You
Our statistical consultants and coaches provide instructional guidance and advisory guidance related to statistics and data analysis to help you understand methods, assumptions, and reporting conventions relevant to your study.
Support may include:
Tutoring in statistical concepts, analytic reasoning, and interpretation, including guidance on commonly used tools (e.g., Excel or SPSS) for learning purposes only.
Advisory review of how data are structured and documented to support transparent reporting. We do not manipulate or modify datasets.
Coaching to help you outline an analysis plan and assess alignment among research questions, methodology, and proposed analytic approaches.
Instructional guidance on selecting appropriate statistical methods and software based on study design and institutional expectations. Final choices remain yours.
Educational guidance on best practices for preparing datasets (e.g., documentation, variable definitions, checks for completeness). We do not construct databases or enter data.
Conceptual tutoring on commonly used techniques (e.g., regression, ANOVA, SEM), focusing on assumptions, interpretation, and how results are typically reported.
Editorial guidance on organizing and formatting the analysis and results sections (e.g., tables, figures, narrative flow).
Coaching on how to interpret and address comments from faculty or committees. We do not communicate with committees or implement revisions for students.
All services are instructional and advisory. We do not clean or enter data, construct databases, or guarantee approvals or outcomes. Students retain full responsibility for data, writing, and submissions.