dissertation-writing
Provides a structured template for dissertation chapters following specific academic standards for quantitative research in Cameroon.
Install
mkdir -p .claude/skills/dissertation-writing && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14900" && unzip -o skill.zip -d .claude/skills/dissertation-writing && rm skill.zipInstalls to .claude/skills/dissertation-writing
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when: Writing dissertations, theses, research projects, or individual chapters (Chapter 1-5). Follow strict academic structure for Cameroon-based research with quantitative survey methodology. Apply this guide when user requests to write, generate, or create dissertation content. ENFORCE STRICT FORMATTING and numbering exactly as specified.Key capabilities
- →Structure dissertation chapters (1-5) with specific headings
- →Enforce decimal numbering for all sub-section headings
- →Include word counts and page estimates for each section
- →Apply a global-to-local funnel structure for the background section
- →Generate research questions, objectives, and hypotheses
- →Ensure every paragraph in specific sections contains APA-style citations
How it works
The skill applies a set of critical formatting rules, content requirements, and citation enforcement rules to generate academic content for dissertations, ensuring adherence to a specific structure and citation density.
Inputs & outputs
When to use dissertation-writing
- →Structuring a dissertation proposal
- →Drafting research chapters 1-5
- →Formatting academic sub-sections
- →Estimating word counts for thesis sections
About this skill
Dissertation Writing Guide
CRITICAL FORMATTING RULES (MANDATORY)
ALL chapter headings MUST follow this exact format:
Chapter 1 — Introduction(NOT "Chapter One" or "CHAPTER ONE: INTRODUCTION AND...")Chapter 2 — Literature ReviewChapter 3 — MethodologyChapter 4 — Presentation and Discussion of ResultsChapter 5 — Summary, Conclusion & Recommendations
ALL sub-section headings MUST use decimal numbering:
1.1 Background of the Study(NOT "1. INTRODUCTION" or "1. Introduction")1.2 Statement of the Problem1.3 Research Questions2.1 Conceptual Literature,2.1.1 Variable Name,2.1.1.1 Sub-topic(as needed)- Format:
#.# Section Name(heading level 3 or bold for clarity)
Word counts and page estimates MUST be included in parentheses after each chapter/section heading:
- Example:
Chapter 1 — Introduction (~2,200–2,700 words | ~8–9 pages) - Example:
1.1 Background of the Study (~4–5 pages, longest section)
Overview
This guide specifies the exact structure, word counts, and content requirements for writing dissertations, theses, or projects. All chapters follow a strict, numbered sub-section format and are designed for Cameroon-based quantitative research using survey methodology. Apply this structure consistently across all dissertation chapters.
Content-Type Scope
This skill is intended for content_type == DISSERTATION. Strict dissertation citation enforcement and rigid chapter formatting are only required when:
- the user explicitly requests a dissertation, thesis, chapter, or project research document,
- chapter structure is detected through headings such as 1.1, 2.1, etc.,
- the output is a formal dissertation chapter.
For ASSIGNMENT, REPORT, ESSAY, or GENERAL academic content, do not apply the mandatory dissertation citation density rules or dissertation-style headings in this skill. Use clear, readable explanation with moderate citations only when needed.
For assignment/report/essay tasks, use a separate assignment-style academic format:
- NO "Chapter" headings
- NO decimal-numbered sections (1.1, 2.3, etc.)
- Use thematic headings only
- Include Introduction, Body, and Conclusion
- Do not include Research Questions, Objectives, or Hypotheses unless explicitly requested
- Treat command-verb requests such as "list", "state", "define", "describe", or "explain" as assignment-style outputs, not dissertation chapters
Chapter 1 — Introduction (~2,200–2,700 words | ~8–9 pages)
Purpose
A short scene-setting chapter that establishes the research context through a global-to-local funnel structure.
Mandatory Structure
1.1 Background of the Study (~4–5 pages, longest section)
- Follow strict funnel structure: Worldwide/Continental → Africa → Cameroon → Bamenda (specifically)
- Start with sweeping global or continental evidence
- Gradually narrow geographic scope
- End with specific focus on Bamenda
- This structure is consistent across all dissertations
1.2 Statement of the Problem
- Clearly identify the specific gap the research fills
- Based on evidence from the Background section
1.3 Research Questions
- One main research question
- 2–3 specific sub-questions derived from the main question
1.4 Research Objectives
- Mirror the research questions exactly
- Reword questions as objectives (e.g., "To investigate..." instead of "What is...")
1.5 Research Hypotheses
- One null hypothesis (H₀) + one alternative hypothesis (H₁) per specific objective
- If 2–3 sub-questions, then 2–3 hypothesis pairs
1.6 Significance of the Study
- Identify who benefits: practitioners, academics, policymakers
- Be specific about each stakeholder group
1.7 Organisation of the Study
- Brief paragraph (4–5 sentences)
- Describe what each of the 5 chapters covers
- Provide chapter-by-chapter roadmap
Chapter 2 — Literature Review (~13,000–16,000 words | ~41–47 pages)
Purpose
The largest chapter, accounting for roughly half the dissertation's total word count. Divided into four distinct sections.
Mandatory Structure
2.1 Conceptual Literature (~10–15 pages)
- Define and unpack each key variable of the study
- Assign numbered sub-sections to each variable (2.1.1, 2.1.1.1, 2.1.1.2, etc.)
- Draw definitions from multiple scholars
- End with a Conceptual Framework diagram showing how independent and dependent variables relate
- Use visual representation (diagram/figure) to illustrate variable relationships
2.2 Theoretical Literature (~12–18 pages)
- Review 4–6 named theories underpinning the study
- Each theory heading must include theorist name and decade (e.g., "Diffusion of Innovation Theory — Everett Rogers, 1962")
- Allocate 2–4 pages per theory covering:
- What the theory says
- How prior researchers have applied it
- Relevance to the current study
- Theories must be formal, established academic frameworks
2.3 Empirical Literature (~12–18 pages)
- Review 15–25 prior empirical studies from different countries/contexts
- Summarize each study in 1–3 paragraphs covering:
- Methodology used
- Key findings
- How findings relate to the current research
- Ensure geographic and methodological diversity in study selection
2.4 Research Gap (~1–2 pages)
- Identify what existing literature has failed to address
- Clearly state how this dissertation fills that gap
- Create explicit link between gap identification and dissertation contribution
Chapter 3 — Methodology (~2,000–2,400 words | ~8–10 pages)
Purpose
Short, structured, and highly formulaic. All Afrodocs dissertations use the same quantitative survey design focused on Bamenda.
Mandatory Characteristics
- Research Design: Quantitative survey using structured questionnaires
- Location: Employees or business owners in Bamenda
- Sample Size Justification: Cochran formula
- Typical Sample Size: 87–120 respondents
- Sampling Technique: Simple random or purposive sampling
Mandatory Structure
3.1 Scope and Area of Study
- Thematic scope: Define the research topic scope
- Geographic scope: Bamenda (specific neighborhoods/institutions)
- Time scope: Study period duration
- Include a map of the study area
3.2 Research Design
- State: "Quantitative survey design"
- Explain why appropriate for this study
- Brief description of questionnaire-based methodology
3.3 Population, Sample Size, and Sampling Technique
- Define target population precisely
- Show Cochran formula calculation
- State resulting sample size (typically 87–120)
- Describe sampling technique (simple random or purposive)
3.4 Nature and Sources of Data
- Primary data: Structured questionnaires administered to respondents
- Secondary data: Published literature, documents, databases
3.5 Variables and Measurement
- Describe how each variable is operationalised
- Specify Likert scale used (e.g., 5-point, 7-point)
- Show measurement items for each variable
3.6 Model Specification
- Write out the regression equation
- Standard form: Y = β₀ + β₁X₁ + β₂X₂ + ... + ε
- Define all variables clearly
3.7 Techniques of Data Analysis
- Descriptive statistics
- Correlation analysis
- OLS regression using Stata or SPSS
- Justify choice of statistical software
3.8 Validation and Reliability
- Content validity: How established?
- Cronbach's Alpha: For internal consistency of each construct
- Acceptable threshold: α ≥ 0.70
3.9 Ethical Considerations
- Informed consent procedures
- Data privacy and confidentiality measures
- Institutional ethics approval (if applicable)
Chapter 4 — Presentation and Discussion of Results (~3,900–6,000 words | ~15–23 pages)
Purpose
Primarily tables followed by interpretation. Present data, then discuss findings in relation to hypotheses and prior literature.
Mandatory Structure
Opening Paragraph
- Explain what the chapter covers
- Provide roadmap for results presentation
4.1 Results Section (tables and descriptions)
-
Demographic/Socio-demographic Characteristics (first tables)
- Gender, age, marital status, education level, years of experience
- Present as frequency and percentage tables
- Describe key characteristics in text
-
Descriptive Statistics (second set of tables)
- Means and standard deviations for each variable
- Present in table format
- Discuss each variable's descriptive statistics sentence-by-sentence
-
Reliability Test (Cronbach's Alpha)
- Report Cronbach's Alpha for each construct
- Confirm all values ≥ 0.70
-
Correlation Matrix
- Show correlations among all variables
- Identify significant relationships (p < 0.05)
- Discuss patterns of correlation
-
OLS Regression Output (main results)
- Regression coefficients
- Standard errors
- t-statistics
- p-values
- Model R² (coefficient of determination)
- F-statistic and significance
- Present in standard regression table format
4.2 Discussion of Findings (~2–5 pages)
- Revisit each hypothesis (H₁, H₂, H₃, etc.)
- State clearly whether each hypothesis was ACCEPTED or REJECTED
- For each finding:
- Interpret the regression coefficient
- Explain what the result means
- Link back to theories reviewed in Chapter 2
- Connect to empirical studies cited in Chapter 2
- Discuss practical implications
- Compare results with prior research
- Address unexpected findings or inconsistencies
Chapter 5 — Summary, Conclusion & Recommendations (~4,000–5,000 words | ~10–12 pages)
Purpose
Closing chapter that synthesizes the research, concludes, and recommends next steps.
Mandatory Structure
5.1 Summary of Findings (~2–3 pages)
- Recap the key results for each objective/hypothesis
- Written in plain prose narrative format
- One paragraph per finding
- No tables; use text descriptions
- Relate back to original research questions
5.2 Conclusion (~1–2 pages)
- Synthesize overall takeaw
Content truncated.
When not to use it
- →When writing assignments, reports, or essays
- →When the research is not Cameroon-based
- →When the methodology is not quantitative survey-based
Limitations
- →Strictly for Cameroon-based research
- →Strictly for quantitative survey methodology
- →Does not apply to general academic content like assignments or essays
How it compares
This guide enforces a rigid, pre-defined structure, decimal numbering, and citation density for Cameroon-based quantitative research, unlike general academic writing that allows for more flexible formatting and citation styles.
Compared to similar skills
dissertation-writing side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| dissertation-writing (this skill) | 0 | 3mo | No flags | Advanced |
| scientific-writing | 94 | 2mo | Review | Intermediate |
| resume-builder | 53 | 3mo | No flags | Beginner |
| ml-paper-writing | 48 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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