Liberty university g*power statistical power analysis report template for

Staring at the screen at 2:00 AM, you’re likely wrestling with the Liberty University G*Power statistical power analysis report template for your doctoral prospectus and Chapter 5 defense. The panic is real, but you’re not alone—many students hit the same wall when the rubric demands a flawless synthesis matrix, a robust PROCESS macro output, and an APA‑7 compliant report. The following roadmap will break the process into bite‑sized, actionable steps so you can move from frustration to a polished, committee‑ready submission.

Theoretical Foundation & Academic Criteria

At its core, a power analysis quantifies the probability that your study will detect an effect of a given size if it truly exists. G*Power, the standard tool at Liberty University and comparable institutions (Walden, GCU, Capella, WGU, UK universities), requires you to specify the effect size (f², d, or r), α‑level, desired power (commonly .80), and sample size. The rubric from the dissertation committee typically mandates that you: 1) justify the chosen effect size with literature; 2) report the exact G*Power settings; 3) explain how the resulting sample size meets ethical and practical constraints; and 4) contextualize the power within your study’s hypotheses. Failure to meet any of these criteria often results in a zero on the synthesis matrix, as the rubric equates a missing or inaccurate power analysis with an inability to identify research gaps.

Practical Execution Matrix & Comparison Table

Step‑by‑Step Implementation Protocol

1. Define Your Research Questions. Write them in the form of testable hypotheses, ensuring each predicts a directional effect.
2. Conduct a Literature Review. Identify at least three meta‑analyses that report effect sizes similar to your expected outcomes. Record the effect size estimates and their confidence intervals.
3. Choose the Correct Test Family. For a moderation analysis via PROCESS, select “Regression” in G*Power, specifying the number of predictors (e.g., 3: X, Moderator, Interaction).
4. Enter Parameters. Set α = .05, power = .80, and the effect size (f²) derived from the literature. Input the desired total sample size; G*Power will compute the required n if you leave “Total sample size” blank.
5. Run the Analysis. Click “Calculate” and capture the output screenshot. Record the “Required total sample size” in your report.
6. Document Settings. In your dissertation’s Method chapter, include a paragraph: “A priori power analysis was performed using G*Power 3.1.9.7 (Faul et al., 2019) to determine that 120 participants were required to achieve 80 % power to detect an f² of .15 at α = .05.”
7. Integrate with PROCESS. After running the moderation model in SPSS, export the PROCESS output. Verify that the sample size matches the G*Power recommendation.
8. Check Statistical Assumptions. Run normality tests (Shapiro–Wilk), examine VIF for multicollinearity (< 5), and plot residuals for homoscedasticity. Document any violations and corrective actions (e.g., log‑transforming variables).
9. Prepare the Synthesis Matrix. Map each literature source to the gaps your study addresses, aligning them with your hypotheses and the power analysis justification.
10. Format According to APA 7. Use 1‑inch margins, double spacing, 12‑point Times New Roman, and a running head. Cite all sources in-text and in the reference list, including the G*Power citation.
11. Proofread and Run AI Detector. Use the university’s plagiarism checker and an AI‑detector tool. If flagged, paraphrase and add citations.
12. Submit Draft to Advisor. Provide a clear, labeled PDF of the power analysis screenshot and the PROCESS output. Highlight how each rubric criterion is satisfied.

What Faculty Committees & Rubrics Look For

Committee members focus on four pillars: 1) Rigor of the power analysis, 2) Transparency of statistical assumptions, 3) Integration of findings in the synthesis matrix, and 4) Adherence to APA 7 style. A synthesis matrix that merely lists articles without linking them to research gaps will receive zero points. Similarly, a power analysis that omits the G*Power settings or uses an inappropriate test family will be flagged. To safeguard against plagiarism or AI detector false positives, always rewrite statistical sections in your own words, cite the G*Power manual, and cross‑check the text with the detector’s suggestions. If the detector flags a sentence, paraphrase and add a citation to the relevant literature or the G*Power documentation. This dual approach demonstrates originality and scholarly integrity.

Frequently Asked Questions