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- PhD Topic Selection
- PhD Research Proposal
- Statistical Analysis & Interpretation
- Manuscript Editing Service
- Research Methodology
Service Scope:
- Unique, novel research worthy topics across academic domains.
- Topics based on your research interest.
- Progressive narrowing from broad research area to sharply focused PhD topics.
- Topics developed after thorough examination of recent scholarly papers.
- Topics based on gaps in current research.
- Topics substantiated with a 300-word problem statement.
- Topic aligns with your preferred methodology.
Timeline:
- Topics delivered between 1-3 days.
Others:
- Iterative topic refinement as per supervisor’s or review panel’s feedback.
Service Scope:
- Detailed PhD Research Proposal based on a topic of your choice.
- Will include; background, problem statement, research aim & objectives, literature review, methods, research significance, chapter scheme.
- For quantitative proposals; Hypotheses framing.
- Development of a conceptual / theoretical framework or models.
- Operational definitions of key constructs / variables will be briefly captured in the literature review section.
- Justify the choice of the chosen research method.
- Justify the sampling strategy.
- Gantt chart to map each stage of the PhD research (If required).
- In-text citations and bibliography as per your preferred citation style.
Timeline:
- Three weeks for 15 pages (250 words per page).
Service Scope:
- Data Preparing & Cleaning
- Data familiarization and audit.
- Data cleaning and preprocessing. (Missing data analysis)
- Coding and recoding variables.
- Data transformation (normalization, standardization).
- Assumption testing (normality, multicollinearity, heteroskedasticity).
- Reliability testing (Cronbach’s alpha, composite reliability, convergent validity as applicable).
- Descriptive & Exploratory Analysis
- Descriptive statistics (frequency, mean, standard deviation, Skewness, kurtosis, Range).
- Exploratory data analysis (identify patterns, and anomalies).
- Preliminary visualizations (tables, figures).
- Inferential and Advanced Statistical Analysis (Quantitative)
- Hypotheses testing.
- Based on Hypothesis testing statistical analysis such as t-test, ANOVA, Correlation and Regression analysis.
- Regression analysis (linear, multiple, logistic).
- Multivariate techniques (factor analysis, PCA, MANOVA, SEM etc).
- Longitudinal or Panel data analysis (if applicable).
- Robustness and sensitivity checks.
- Tools: SPSS, STATA, E-views, R, AMOS, SmartPLS.
- Data Analysis (Qualitative)
- Data transcript support and verification.
- Coding framework development.
- Thematic / content / narrative analysis.
- Tools: NVivo
- Interpretation
- Interpretation of findings (aligned with objectives).
- Summary table (Hypotheses)
Timeline:
- Pilot Study: 4 – 7 days.
- Main Study: 2 – 4 weeks.
Service Scope:
- Editing for technical accuracy and detail.
- Removing redundant information.
- Substantiating statements with valid, recent, scholarly citations.
- Rewriting sections (if required) for greater impact.
- Rewriting sections (if required) to match the aim of the manuscript.
- Tweak the objectives (if required) to precisely match the method used.
- Refine the methodology to include research design, sampling / data analysis techniques etc.
- Check for consistency, smooth transition between paragraphs.
- Check & edit manuscript for grammatical and linguistic proficiency.
- Format manuscript as per target journal, including citation styles.
- Update missing citations.
- Add missing abstract or edit abstract for conciseness.
- Address reviewer’s comments.
Each of our editors:
- Are fluent in English (UK, US, local).
- Have 10+ years of experience in editing manuscripts.
- Are well-versed with journal requirements / standards.
Service Scope:
- Devise the right methodology based on your topic / objectives.
- Identify and justify the research design, philosophy, and paradigm.
- Select and explain the research approach.
- Determine the sampling technique, sample size, target respondents.
- Define and explain the data collection techniques (survey questionnaires, document analysis, interviews).
- Determine the data analysis technique (SPSS, R, STATA, AMOS, SmartPLS, NVivo).
- Pilot study procedures (if applicable).
- Establishing measures of validity, reliability, and trustworthiness.
- Highlight ethical adherence.
Timelines:
- Ten days for 20 pages (250 words per page).
Others:
- Can develop the instrument for data collection (survey or interview questionnaires).
- Can also help with data collection (if feasible).