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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:

  1. 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).
  2. Descriptive & Exploratory Analysis
    • Descriptive statistics (frequency, mean, standard deviation, Skewness, kurtosis, Range).
    • Exploratory data analysis (identify patterns, and anomalies).
    • Preliminary visualizations (tables, figures).
  3. 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.
  4. Data Analysis (Qualitative)
    • Data transcript support and verification.
    • Coding framework development.
    • Thematic / content / narrative analysis.
    • Tools: NVivo
  5. 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).

Call us for more information +91-9176966446