Two CMM-hosted Quantitative Research Methods Workshops Using R

Two CMM-hosted Quantitative Research Methods Workshops Using R

By School of Education, University of Bristol

Dr Matthew Courtney will be running two workshops at the SoE: "R Progamming for Beginners" and "An Introduction to Rasch Modelling Using R".

Date and time

Location

This is an IN-PERSON EVENT: Information on how to attend is found at the end of your order confirmation email.

35 Berkeley Square Bristol BS8 1JA United Kingdom

Good to know

Highlights

  • 5 hours
  • In person

About this event

Business • Educators

This event is part of the School of Education's Bristol Conversations in Education research seminar series. These events are free and open to the public.

Host: Centre for Multilevel Modelling (CMM)

Dr Matthew Courtney (Psychometrician, Director of Institutional Research & Analysis, Nazarbayev University, Kazakhstan)

Please select which workshops you would like to attend when you register for your ticket. Further information about each workshop is detailed below.

All participants must have already downloaded and successfully installed both R and RStudio (in that order) on their personal laptops. See https://www.youtube.com/watch?v=TsnGd6p9oTk for instructions.

Workshop 1: R Progamming for Beginners (11am-1pm)

While SPSS is easy to use for simple statistics, it proves less useful for PhD projects where there are many data preparation and analysis steps and where students must fully document and be able to reproduce all their work. This workshop introduces the open-source R programming language, a free software program with extensive capabilities for statistical analyses.

Suggested Audience:

PhD students who have completed at least an introductory course that covers quantitative research methods.

Workshop 2: An Introduction to Rasch Modelling Using R (2pm-4pm)

This workshop introduces Rasch modelling, a statistical technique used in educational and psychological measurement to analyze data from education tests and psychological scales. We will cover the fundamental assumptions, terminology, formulae, application, and interpretation. The second part of the workshop will be dedicated to providing students with the skills to undertake this form of analysis with the R software.

Suggested Audience:

PhD students interested in analyzing their educational tests or psychological scales data and with a moderate experience in quantitative research methods. Participants may be interested in how student performance (and other outcomes) can be effectively tracked and monitored and compared. Or designing and validating educational tests and psychological scales.

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School of Education, University of Bristol

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Oct 9 · 11:00 GMT+1