Data and analysis

Thesis Data Analysis Planner

Prepare your thesis analysis from the accepted design, uploaded dataset, quality checks, hypotheses, and result-reporting needs before writing the Results and Discussion chapters.

Why it helps

Data analysis should follow the design you accepted

Students often reach analysis with unclear hypotheses, mismatched data, or missing condition labels. Scitong keeps analysis tied to the methodology and research question so the numbers are interpreted in the right thesis context.

Before results are written, the workflow checks whether the data is ready and whether the planned analysis lines up with each hypothesis or research question.

  • Upload and review collected thesis data
  • Check completion and condition assignment where relevant
  • Map hypotheses to suitable analysis approaches
  • Carry results into discussion and submission review

Analysis workflow

1

Confirm method

Use the accepted design, sample plan, and planned analysis from the Blueprint.

2

Upload data

Review row count, columns, completion, and condition split where needed.

3

Plan tests

Connect each hypothesis or research question to the analysis approach.

4

Prepare results

Structure findings so they can feed the Results and Discussion chapters.

Common questions

Does this replace statistics training?

No. Scitong helps organise and plan the analysis workflow, but students should still follow their programme's statistical requirements.

Can it check survey data?

The data workflow can inspect uploaded CSV data and flag basic readiness issues such as missing condition labels.

What happens after analysis?

Accepted results can feed the Results chapter, Discussion chapter, and final submission review.