Dissertation Data Analysis Services

Quantitative and qualitative data analysis by PhD analysts. From clean datasets and validated codebooks to APA 7 results chapters tied to every research question.

Quant and Qual, Done Right

Most dissertation revisions come from analytic problems: assumptions ignored, themes thinly described, codebooks missing, or tables that don't match the narrative. Our data analysis service handles both quantitative and qualitative dissertations with the same rigor: a written analytic plan, transparent execution, and reproducible files.

Quantitative Workflow

We run analyses in SPSS, R, Stata, Python, AMOS, or Mplus; test and report assumptions; report effect sizes and confidence intervals; build APA 7 tables; and produce hypothesis-by-hypothesis narratives.

Qualitative Workflow

We work in NVivo, Atlas.ti, MAXQDA, or Dedoose. We develop a codebook, code transcripts, conduct member checks where appropriate, and present themes with supporting quotes, frequency tables, and theme maps that make the analytic logic transparent.

What is included

  • Quantitative and qualitative expertise
  • Validated codebooks and analytic plans
  • SPSS, R, Stata, Python, NVivo, Atlas.ti
  • APA 7 tables, figures, and theme maps
  • Assumption checks and trustworthiness criteria
  • Editable analytic files included
  • Tied to every research question
  • Unlimited revisions within 30 days

How it works

  1. Send Data & Plan: Share your dataset or transcripts and your approved methodology.
  2. Analytic Plan: We document and confirm the analytic plan before executing.
  3. Analyze & Write: We execute the analysis and draft a fully formatted Chapter 4.
  4. Revisions: Unlimited revisions including follow-up analyses requested by your committee.

Frequently Asked Questions

Can you analyze interview transcripts?

Yes. Thematic analysis, grounded theory, content analysis, and IPA are all supported in NVivo, Atlas.ti, MAXQDA, or Dedoose.

Do you handle mixed methods?

Yes. We integrate quantitative and qualitative strands using sequential, concurrent, or transformative designs as your methodology requires.

Will my committee see the analytic files?

Yes. You receive every do-file, syntax, R script, and codebook so the work is fully reproducible and transparent.

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