Statistical Power Analysis Guidance
Sample size can mean the difference between a highly-successful study and complete failure.
A power analysis is a statistical method that establishes whether your planned sample size is large enough for statistical relevancy. A properly-conducted power analysis can spell the difference between a highly-successful study and complete failure. Contact one of our statistical consultants today for more information on guidance for a power analysis.
What is the right sample size for my study?
Among the most frequently-asked questions we receive is “What is the right sample size for my study?”
To answer this question, you would need to conduct an appropriate power analysis for your study.
Conducting a fully-appropriate statistical power analysis for your study is crucial to the academic relevancy of your study. However, actually carrying out a power analysis can be a very daunting and highly-complex task. Consulting with an experienced statistical tutor can provide instructional guidance that helps you better understand power analysis and statistical methods, clarify assumptions, and approach analysis with greater confidence. This support is educational in nature and is intended to help you make informed decisions.
Power Analysis Support
We provide instructional guidance and advisory guidance to help students understand power analysis concepts and how they are applied within academic research. Support is educational in nature and focuses on learning, interpretation, and proper reporting rather than execution.
Power analysis support may include guidance related to:
Understanding Statistical Relevance and Sample Considerations
Instructional discussion of how sample size, effect size, and assumptions are typically justified in academic studies, including how researchers reference prior literature or pilot data when explaining these decisions.
A Priori and Post Hoc Power Analysis Concepts
Tutoring on the purpose, assumptions, and interpretation of both a priori and post hoc power analyses, including how results are commonly described in dissertations and theses.
Selecting Appropriate Statistical Tests (Instructional)
Advisory guidance on how researchers determine which statistical tests are commonly associated with particular study designs and power analyses, including discussion of effect size considerations. Final decisions remain the responsibility of the student.
Pilot Study Considerations
Instructional guidance on when pilot studies are commonly used, what they are intended to demonstrate, and how they are typically described in academic writing. We do not design, conduct, or analyze pilot studies.
Complex Study Power Analysis Concepts
Educational discussion of power analysis considerations for more complex designs, such as multivariate or structural equation modeling studies, with emphasis on conceptual understanding and reporting conventions rather than execution.
We do not make academic decisions on a student’s behalf. Students retain full responsibility for their research design, analyses, written content, and academic outcomes.
Confidentiality Commitment
We understand the importance of confidentiality when sharing research materials and academic documents. A non-disclosure agreement (NDA) is available from the outset of the engagement to clarify how information and materials are handled.
All research materials, data, and communications you share with us are treated as confidential and used solely for the purpose of providing the agreed-upon services. Information is not shared with third parties except as required by law or with your explicit permission. Consultations are conducted in a professional and discreet manner consistent with accepted standards for academic consulting and editorial services.
*We provide academic guidance, editing, feedback, and mentoring support only. We do not offer services that involve writing or submitting academic work on behalf of students. All support follows the university’s academic integrity guidelines.
