Measurement Models (Factor Analysis and Item Response Models) (bookings closed)
Date:
16/02/2017 - 17/02/2017
Organised by:
University of Nottingham
Presenter:
Professor Cees van der Eijk
Level:
Advanced (specialised prior knowledge)
Contact:
Email: esrc-dtc@nottingham.ac.uk
Description:
Two day training block.
This course focuses on the use of methods commonly used to assess whether a set of observed variables can be assumed to measure the same underlying phenomenon (often referred to as a latent factor, trait, or dimension). If so, the information from the separate variables can be combined into a composite measure (multiple item measurement), which yields important benefits for conceptualisation and further analysis.
Common instances in which these questions arise can be found in education and psychology (where multiple items are used to construct tests of achievement, proficiency and various kinds of psychological traits); in survey research in sociology, political science and economics (where, e.g., a set of agree/disagree statements or Likert items are used to determine people’s level of attitudes or orientations); and in macro-economics and social-indicator research (where a large number of conceptually and empirically related measures is available for macro-units such as regions or countries). The course focuses in particular on two broad approaches that are very frequently used in the social and behavioural sciences: factor analysis (including exploratory and confirmatory factor analysis) and item-response scaling (including Mokken and Rasch scaling). The course covers both kinds of measurement models, practical considerations in actual applications, empirical examples from different disciplines, and hands-on training.
Some kinds of measurement modelling (particularly CFA) are strongly linked to the tradition of structural equation modelling (SEM), which is the topic of a separate DTC course (Structural Equation Modelling which is taking place on 23 & 24 March 2017). Although there is no requirement to do so, there is therefore a distinct benefit in taking both modules.
This course is suitable for MA and PhD students or other participants wanting to enhance their training in this area. Participants are required to have studied quantitative methods at masters level or equivalent.
Please note this is an interdisciplinary module that is open to students from across the social sciences. If you have any doubts about whether the course is suitable for your needs or level of study, please contact the course presenter / convenor before registering.
Cost:
£200
Region:
East Midlands
Keywords:
Quantitative Data Handling and Data Analysis, Factor Analysis, Item Response Models
Related publications and presentations:
Quantitative Data Handling and Data Analysis