Skip to content
Methodnex

Regression Modelling in Practice

Build, check and report linear and logistic models on real data.

Proposed outline

Applied Statistics, Intermediate

What you will be able to do

  • Build and check linear and logistic regression models.
  • Test and interpret interactions.
  • Diagnose assumption violations and respond to them.
  • Present models so that readers can follow them.

Syllabus

  1. 1

    The linear model

    Coefficients, fit and what a model can and cannot say.

  2. 2

    Categorical predictors and interactions

    Dummy coding, moderation and plotting interactions.

  3. 3

    Assumptions and diagnostics

    Residuals, multicollinearity, influential cases and remedies.

  4. 4

    Logistic regression

    Odds ratios, classification and model fit.

  5. 5

    Model building and reporting

    Variable selection, confounding and reporting tables.

  6. 6

    Workshop on your data

    Participants apply the methods to their own datasets.

Who it is for
Researchers who know the basic tests and now need multivariable models.
Prerequisites
Introductory statistics, or the SPSS Essentials course.
Software
SPSS or R.
Certificate
A certificate of completion for participants who meet the attendance and assessment criteria. It is not a university credit or an accredited qualification.
Cancellation
The refund and cancellation terms are published before registration opens.

Frequently asked questions

When do courses start?

Dates are not set yet. Register your interest and we will email you when a cohort is scheduled.

Will I receive a certificate?

Participants who meet the attendance and assessment criteria receive a certificate of completion. It is not a university credit or an accredited qualification.

Can my institution book a private course?

Yes. Any course can be adapted for a department or team. Use the institutional request form.

What language are courses taught in?

Each course page states its language. Most are planned in Arabic or English, depending on the cohort.

More from the catalogue

Research Foundations, Foundation

Research Design Essentials

Move from a topic to an answerable question, a suitable design and a sampling plan.

12 hours in 4 sessions, Arabic or English

Structural Models, Intermediate

PLS-SEM with SmartPLS

Specify, assess and report a PLS path model, and know when PLS is the wrong tool.

15 hours in 5 sessions, Arabic or English

Data Science, Foundation

R for Data Analysis

Import, clean, visualise and model data in R, and write a report that reruns.

18 hours in 6 sessions, English