Data analysis, surveys, research methods
Statistics help that reads like a procedure, not a lecture
Practical, plain-language guides to running and reporting statistical, survey and spatial data analysis, written for the moment you are already mid-task.
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10 Common Statistics Mistakes in Student Dissertations 2026
Learn the 10 common statistics mistakes in student dissertations in , why they distort findings, and the practical fixes for cleaner, more…
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How to Respond to Supervisor Comments on a Draft 2026
Learn how to respond to supervisor comments on a draft: triage the feedback, build a response table, revise in priority order and…
How to Proofread Your Own Dissertation: A Practical Guide 2026
Learn how to proofread your own dissertation in with a repeatable academic editing routine that catches errors and improves your final quality.
How to Avoid Plagiarism When Writing a Results Chapter 2026
Learn how to avoid plagiarism when writing a results chapter: log every source, paraphrase evidence, cite borrowed methods, and audit tables before…
How to Paraphrase Research Findings Correctly: Easy Guide 2026
Learn how to paraphrase research findings correctly while keeping the statistics, direction and significance intact, and citing the source properly in .
Asked mid-analysis
Questions this site answers
- —Which test actually fits my data?
- —What do I do when the assumptions fail?
- —How should I clean and code survey responses?
- —How do I write the results up so a reviewer accepts them?
About
What this site is for
Data Analysis Help is a working reference for the parts of research that stall: choosing a test, running it, and reporting what it means in clear language.
It is written for students, graduate researchers and early-career analysts who need a procedure they can follow while the work is still open in front of them.