I know how it feels to stare at a blank screen at 2:00 AM, heart racing, because the advisor just rejected the chapter, the Hayes PROCESS macro failed, or Turnitin flagged a false‑positive AI alert. The search query you’re wrestling with—University of Edinburgh doctoral prospectus rubric breakdown for—is a signal that you need a concrete, step‑by‑step plan that maps every rubric criterion to a concrete action. Below is a concise, 900–1200‑word guide that takes you from panic to a 100 % prospectus approval, using the exact rubric standards that the Edinburgh Faculty Committee, as well as Walden, GCU, Capella, and WGU, demand for doctoral work.
Theoretical Foundation & Academic Criteria
The doctoral prospectus is the formal proposal that defines the research question, theoretical framework, methodology, and expected contribution. It must satisfy three core academic criteria that are consistent across top US and UK institutions:
- Conceptual Clarity: Articulate a precise, testable hypothesis grounded in the literature, and justify its significance in the field.
- Methodological Rigor: Demonstrate that the chosen design (e.g., moderated mediation with PROCESS) meets statistical assumptions—normality, homoscedasticity, multicollinearity—and that the sample size yields adequate power (≥ .80).
- Ethical & Practical Feasibility: Provide a detailed ethics application, timeline, and risk mitigation plan, and show how NVivo 14 coding will yield reliable thematic saturation.
Institutions like Walden and Capella use a rubric that assigns 0–10 points per criterion, while UK universities often employ a pass/fail threshold with a 70 % pass mark. The Edinburgh rubric is similar but includes a mandatory synthesis matrix and a plagiarism‑free audit that must score 100 % on the Turnitin AI detector. Meeting these thresholds guarantees a clean prospectus approval and paves the way for Chapter 1–5 defenses.
Practical Execution Matrix & Comparison Table
| Criterion | Common Student Error / Pitfall | High‑Scoring Correction / Example |
|---|---|---|
| Literature Synthesis Matrix | Inconsistent column headings; missing research gaps. | Use a 4‑column matrix: Study, Theory, Method, Gap. Highlight gaps in a separate “Implications” row, citing at least 15 peer‑reviewed sources. |
| Statistical Assumptions (SPSS) | Ignoring skewness/kurtosis thresholds; failing to report VIF. | Report descriptive statistics (skewness < ± 1, kurtosis < ± 7). Include a VIF table with all predictors < 5 and a residual plot confirming homoscedasticity. |
| NVivo Coding & AI Detection | Over‑coding without inter‑coder reliability; AI detector flags “generic” language. | Develop a codebook with 12 codes, conduct double coding on 10 % of transcripts, report Cohen’s Kappa ≥ 0.80. Replace generic phrasing with discipline‑specific terminology to reduce AI flagging. |
Step‑by‑Step Implementation Protocol
- Define the Research Question—write a single, focused sentence that encapsulates the moderated mediation you plan to test with PROCESS.
- Construct the Literature Matrix—populate the 4‑column matrix, annotate gaps, and cite at least 12 seminal works.
- Draft the Methodology—detail sample size (use G*Power for power analysis), sampling strategy, and measurement instruments with reliability coefficients.
- Run SPSS Diagnostics—check normality (Kolmogorov–Smirnov), multicollinearity (VIF, Tolerance), and homoscedasticity (Breusch–Pagan). Save all tables.
- Execute Hayes PROCESS Macro—specify Model 4 for mediation, Model 7 for moderated mediation. Save bootstrap confidence intervals (5,000 resamples).
- NVivo Coding Workflow—import transcripts, import the codebook, perform initial coding, conduct double coding on 10 % of data, calculate inter‑coder reliability.
- Integrate Findings into the Prospectus—link the statistical outputs to the theoretical framework, ensuring APA 7 formatting for tables and figures.
- Plagiarism & AI Audit—run the prospectus through Turnitin, address any flagged passages by paraphrasing and citing; run the same text through an AI detector (OpenAI or GPT‑Zero) and re‑write any high‑confidence AI passages.
- Proofread & Reference Check—verify every citation follows APA 7, double‑check DOIs, and ensure the reference list is alphabetized.
- Submit for Committee Review—attach the synthesis matrix, SPSS output screenshots, NVivo export, and the AI audit report.
What Faculty Committees & Rubrics Look For
Faculty committees evaluate the prospectus against a 100‑point rubric. The top thresholds are:
- Conceptual Clarity: 30 % of the score; a clear hypothesis and literature gaps earn 10/10.
- Methodological Rigor: 35 % of