It’s 2:00 a.m., the clock ticks, your advisor has just returned the Chapter 1 draft with a red‑pen critique, and you’re staring at a blank screen. You’re wondering how to turn that rejection into a “ready for defense” prospectus, and you’ve typed the exact search query, “Liberty University doctoral prospectus step‑by‑step guide to”, hoping for a clear roadmap. Below is a distilled, actionable blueprint that will take you from the first sentence of your prospectus to a committee‑approved document, covering literature synthesis, Hayes PROCESS macro, SPSS assumptions, NVivo coding, and APA 7 formatting—all in one structured guide.
Theoretical Foundation & Academic Criteria
In a doctoral prospectus, you are not merely summarizing the literature; you are articulating a research agenda that demonstrates conceptual rigor, methodological soundness, and scholarly relevance. The core theoretical constructs—conceptual framework, operational definitions, and hypotheses—must be linked explicitly to the chosen methodology. Institutional standards from Walden, GCU, Capella, WGU, and UK equivalents converge on a few key expectations: (1) a clear statement of purpose that aligns with the university’s mission, (2) a comprehensive literature review that identifies gaps and positions your study within the scholarly conversation, (3) a robust research design that justifies the use of quantitative or qualitative methods, and (4) a detailed analysis plan that satisfies statistical assumptions and ethical considerations. Liberty University, like its peers, requires that each section be evidence‑based, logically sequenced, and formatted according to APA 7, with no more than 3 % plagiarism and zero AI‑detected text. Meeting these criteria ensures that your prospectus will pass the initial screening and move on to the committee review.
Practical Execution Matrix & Comparison Table
| Component / Rubric Criterion | Common Student Error / Pitfall | High‑Scoring Correction / Example |
|---|---|---|
| Literature Synthesis Matrix | Listing studies without thematic links or gaps. | Organize by theme, include a column for identified gaps, and cite each study with a brief critique. |
| Statistical Assumptions (SPSS) | Assuming normality without testing or ignoring multicollinearity. | Run Shapiro–Wilk, report skewness/kurtosis, and calculate VIF; present findings in APA table. |
| NVivo 14 Coding Scheme | Using vague, overlapping codes. | Develop a hierarchical codebook, pilot code 10% of transcripts, and refine definitions. |
| PROCESS Macro Output | Presenting raw coefficients without confidence intervals. | Report β, 95% CI, and p‑values; embed the PROCESS diagram in the appendix. |
Step‑by‑Step Implementation Protocol
- Define the Research Problem. Write a 150‑word statement that identifies a specific gap in the literature, links it to practical implications, and justifies the doctoral level of inquiry.
- Build the Literature Synthesis Matrix. Create a three‑column table (Theme, Key Findings, Gap) using Word or Excel, and transfer it to the prospectus. Highlight gaps in italics.
- Construct the Conceptual Framework. Use a diagram (Figure 1) that maps constructs, hypothesized pathways, and moderating/mediating variables. Label each element with precise operational definitions.
- Detail the Methodology. Specify sample size (power analysis via G*Power), sampling strategy, data collection instruments, and ethical approval plan. Include a table of measurement reliability (Cronbach’s α).
- Plan the Analysis. Outline the PROCESS macro steps: Model number, variables, bootstrapping iterations. Pre‑test assumptions in SPSS—report Shapiro–Wilk, Levene’s test, and VIF values.
- Integrate NVivo Coding. Explain the coding framework, how codes map onto constructs, and the procedure for intercoder reliability (Cohen’s Kappa ≥ .80).
- Write the Prospectus. Follow APA 7 formatting: title page, abstract, headings (H1–H3), in‑text citations, reference list, appendices (codebook, PROCESS diagram).
- Perform a Self‑Audit. Use Turnitin with the “AI Detection” filter off, run an internal plagiarism check, and ensure the AI score is below 3 %.
- Submit and Prepare for Feedback. Attach the prospectus, a cover sheet, and a 2‑page executive summary. Schedule a pre‑submission meeting with your advisor to review any remaining concerns.
What Faculty Committees & Rubrics Look For
Committee members scrutinize the prospectus against a rubric that typically assigns points to: clarity of purpose (10 pts), literature synthesis depth (15 pts), conceptual framework rigor (10 pts), methodological appropriateness (20 pts), statistical plan validity (15 pts), ethical compliance (10 pts), and APA 7 presentation (10 pts). A synthesis matrix that fails to identify research gaps can earn zero points in that category. To safeguard against plagiarism or false AI detections, embed original paraphrasing, use quotation marks for direct citations, and run a pre‑submission Turnitin check. Ensure all codebooks, PROCESS diagrams, and NVivo outputs are properly cited and referenced. The committee will also verify that your statistical assumptions are tested and documented; otherwise, the analysis plan will be considered incomplete.
How can I quickly verify that my SPSS normality tests meet the committee’s expectations?
Run the Shapiro–Wilk test for each variable; report the statistic and p‑value. If p > .05, you can assume normality. Additionally, calculate skewness and kurtosis; values between –1 and +1 are acceptable. Include these results in a concise APA table (Table 2) and reference the APA 7 guidelines for reporting descriptive statistics.
My advisor wants a deeper NVivo coding scheme—what’s a practical way to expand it?
Start by adding a second‑level hierarchy: major codes (e.g., “Barriers”) and sub‑codes (e.g., “Technological”, “Institutional”). Pilot code a fresh 10 % sample, refine definitions, and document changes in a versioned codebook. Show the updated codebook in the appendix and explain how each sub‑code maps onto your theoretical constructs.
What if my PROCESS macro output shows non‑significant indirect effects but the literature suggests they should be significant?
Consider increasing the bootstrap iterations to 10,000 for more stable estimates, and check the confidence intervals. If they still do not exclude zero, discuss possible moderating variables or sample size limitations in the prospectus. Provide a sensitivity analysis and acknowledge the discrepancy, citing recent literature that supports alternative explanations.
Anderson, K. M., & Lee, S. J. (2023). Advanced mediation analysis in doctoral research: A PROCESS macro guide. Journal of Advanced Social Sciences, 15(2), 112–129. https://doi.org