Thesis & Dissertation Data Lab

6–8 Week Data Analysis Program for Graduate Students

$960.00

Your data is collected. Now comes the part most graduate students dread: the analysis.

The Thesis & Dissertation Data Lab is a structured 6–8 week, 1:1 coaching program for health science, psychology, and allied health graduate students who need to complete their data analysis and results section — accurately, defensibly, and on time.

We work directly with your dataset, your research questions, and your committee’s requirements. Every session has a specific deliverable. By the end of the program, your analysis is complete, your results are written up in APA format, and you can explain every number in your defense.

This is not tutoring for a course. This is specialist support for one of the most high-stakes documents you will ever produce.

Tell us about your project (required):

  • Your degree program and institution type (e.g., Master’s in Public Health, doctoral program in clinical psychology)

  • Brief description of your research topic and research questions

  • What software your committee requires or prefers

  • Your defense or submission deadline

  • Current status of your data (e.g., collected and cleaned, collected but messy, partially analyzed)

  • Preferred session days and times (include your time zone)

Duration: 6 weeks (standard) or 8 weeks (larger or more complex datasets — confirmed at intake)

Sessions: 12–16 total · 2 sessions per week · 60 minutes each

Format: 1:1 live video call

Software: R, SPSS, or Excel — matched to your committee’s requirements

Support: Email support between sessions · 24-hour response on business days

Payment: 50% due upfront · 50% due at the start of Week 3

Cancellation: 24-hour notice required to reschedule · Late cancellations forfeit the session

What’s included:

• 12–16 live 1:1 sessions

• Full data cleaning, coding, and preparation

• Descriptive and inferential statistical analysis

• Interpretation of all results

• APA-formatted results write-up review

• Shared folder with all datasets, output files, and session notes

• Between-session email support

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