🧭 Overview

This tutorial is designed to systematically build learners’ competence in conducting and reporting bivariate analysis. Bivariate analysis is a fundamental statistical approach that examines the relationship between two variables, enabling researchers to examine associations and differences. Proficiency in bivariate analysis is essential in empirical research, as it forms the foundation for more advanced multivariate techniques.

The tutorial emphasizes both conceptual understanding and applied skills. Learners will be introduced to a range of visual charts including bar charts, scatterplots, boxplots used to display two variables. In addition, statistical techniques such as the chi-square test, t-tests, ANOVA and ordinary least squares regression analysis will be covered to develop learners’ applied empirical skills. Emphasis is placed on accurate interpretation of statistical outputs and on selecting charts and techniques that are appropriate for the types of variables involved and the specific research questions being addressed.

Content for this tutorial was developed by Dr. Bephyer Parey. Dr Bephyer Parey is a Junior Research Fellow at the Sir Arthur Lewis Institute of Social and Economic Studies (SALISES) at the St Augustine Campus of the University of the West Indies (UWI). Holding a BSc in Mathematics and MSc in Statistics from the UWI, Dr Parey has a quantitative background, and has used these skills extensively in her own research. She also has expertise in qualitative and mixed methods research which she gained through various training, including at the University of Michigan, USA, and their application in her work. She has a track record of high-quality international publications and to date has presented her research in over thirty regional and international conferences including in South Africa, Europe (Austria, Denmark, Ireland, United Kingdom), the USA, and the Caribbean. Dr Parey serves as chair of the SALISES Disability Studies Research Cluster which is currently responsible for operationalizing a Memorandum of Understanding between the University of the West Indies and the Equal Opportunity Commission of Trinidad and Tobago.

Learning Pace – Asynchronous, learn at your own pace and convenience

📚 Learning Units

Lesson 1 – Distinguishing bivariate research questions
Lesson 2 – Types of variables
Lesson 3 – Identifying charts for bivariate research questions
Lesson 4 – Identifying analysis techniques for bivariate research questions
Lesson 5 – Developing reports for bivariate research questions

Upon completing this tutorial, learners will be able to distinguish between different types of bivariate research questions, identify appropriate charts and analysis techniques for these questions, and develop comprehensive reports based on the outputs from bivariate analysis techniques.