Assessment, Measurement and Evaluation

University of Oslo

Overview

Key features

The Assessment, Measurement and Evaluation programme of the University of Oslo offers rigorous training in research methods and data analysis using the free software environment R for statistical computing and graphics.

Learning Outcomes

Knowledge

• Have a good conceptual grasp of key statistical principles (e.g., uncertainty & variation) for making solid inferences and conclusions.

• Demonstrate an understanding of classical test theory & measurement approaches as well as more modern test design techniques based on item response theory.

• Have insight into different ways to quantitatively analyze and use data to address measurement problems & research questions in the social sciences.

• Demonstrate an understanding of current paradigms and related societal debates in the field of assessment, measurement, and evaluation.

Skills

• Quantitative: Apply state-of-the-art statistical techniques (e.g., Structural Equation Models) to analyze and learn from data.

• Software: Proficiency in using the free software environment R for statistical computing and graphics

• Design: Apply best practices, including useability studies & cognitive labs, to design high quality measurement instruments.

• Communication: Write scientific papers & research reports, present posters, and give talks in academic and professional settings.

Competence

Initiate and contribute in a constructive but critical way to

• the discussion of existing assessment and evaluation systems, particularly as they relate to issues around validity and reliability.

• the construction of new assessment and measurement instruments, with a strong focus on validity and reliability for the intended use of the instrument.