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Statistics for Your Dissertation: Choose, Run & Write Up
4 students

Statistics for Your Dissertation: Choose, Run & Write Up

Statistical test selection, results interpretation & Chapter 4 writing made simple
Created byDr JL
Last updated 4/2026
English

What you'll learn

  • Choose the correct statistical test (t-test, ANOVA, chi-square, correlation, regression) based on their research question and data type
  • Identify and correctly classify data types (nominal, ordinal, interval, ratio) and determine when to use parametric vs non-parametric tests
  • Interpret statistical results with confidence, including p-values, effect sizes, and key output tables
  • Run core statistical analyses in SPSS, including data setup, descriptives, t-tests, ANOVA, chi-square, correlation, and regression
  • Understand the difference between comparing groups and analysing relationships, and apply this to real research scenarios
  • Use a simple step-by-step workflow to move from raw data to a fully written Results (Chapter 4) section

Course content

10 sections • 30 lectures • 2h 26m total length

  • lecture 1.1: Welcome & The Big Picture2:54

    •Explain what your Results (Chapter 4) needs to do and what it does not need to do.

    •Describe the 4-step workflow for dissertation statistics from raw data to write‑up.

    •Identify where you currently are in the process and what your next step should be.

    •Recognise the main types of analyses covered in the course and how they fit together.

  • Lecture 1.2: The 4-step Dissertation stats workflow0:58
  • Lecture 1.3: The Ultimate Test Chooser Flowchart1:19

Requirements

  • Basic understanding of your research topic or dissertation question
  • Basic computer skills (e.g. opening files, using Excel or similar software)
  • Access to a dataset (your own research data or a practice dataset provided in the course)
  • Optional: Access to SPSS (helpful for the practical module, but not required to understand the concepts)
  • Willingness to apply the step-by-step methods to your own research project

Description

Are you staring at your dissertation data thinking:

  • “Which statistical test do I use?”

  • “What do these results actually mean?”

  • “How do I turn this into a proper Chapter 4?”

You’re not alone — and this course is designed to fix exactly that.

What this course will help you do

By the end of this course, you will be able to:

  • Choose the correct statistical test based on your research question and data

  • Understand and interpret your results with confidence

  • Avoid common mistakes that cost students marks

  • Write clear, accurate, APA-style results for your dissertation

  • Structure your Results (Chapter 4) in a way examiners expect

What makes this course different

This is not a theory-heavy statistics course.

You will not be overwhelmed with formulas or complex maths.

Instead, you’ll learn a clear, practical system to:

Choose → Run → Understand → Write

Everything is explained in plain English, using real examples you can apply directly to your own project.

What’s inside the course

  • A simple step-by-step workflow from raw data to Chapter 4

  • A test selection system you can use for any research project

  • Clear explanations of key tests:

    • t-tests

    • ANOVA

    • chi-square

    • correlation

    • regression

  • How to interpret outputs (p-values, effect sizes, key statistics)

  • How to write results using ready-to-use APA-style templates

  • A full module on structuring your Results chapter

Downloadable tools included

You’ll also get practical resources you can use alongside your analysis:

  • Test chooser flowchart

  • Assumption checklists

  • Data cleaning checklist

  • Graph selection guide

  • APA phrase bank

  • Chapter 4 structure template

  • Common mistakes checklist

Who this course is for

This course is ideal for:

  • Undergraduate and master’s students working on a dissertation

  • Students in psychology, health sciences, education, business, and social sciences

  • Anyone who feels stuck choosing a test or writing their results

This course is NOT for

  • Advanced statisticians

  • Students looking for heavy mathematical theory

  • Programming or data science professionals

Your outcome

By the end of this course, you will have a clear, repeatable system to take your data from analysis to a complete, high-quality Results chapter - without guessing.

Who this course is for:

  • Students in psychology, health sciences, education, business, and other social science disciplines
  • Undergraduate and master’s students working on a dissertation or research project involving quantitative data
  • Students who feel unsure about which statistical test to use for their research
  • Students who can run analyses (or have output) but struggle to understand what the results actually mean
  • Students who want to confidently write their Results (Chapter 4) in clear APA format
  • Students using (or planning to use) SPSS for data analysis

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