This course introduces the fundamental principles of factor analysis. Researchers are frequently interested in studying a variety of phenomena that are not directly measureable. Commonly studied concepts such as depression, anxiety, IQ and psychopathy cannot be directly observed, but rather their existence is inferred on the basis of phenomena which can be directly observed. This leads to an inevitable question: how can we possibly measure, with any kind of accuracy, that which we cannot observe?
Factor analysis is the process by which unobservable, or ‘latent’, constructs can be accurately and reliably measured via observable, or ‘manifest’, constructs. Since researchers are usually interested in studying unobservable phenomena, factor analysis is an invaluable statistical tool for any scientist. Numerous factor analytic methods exist which can be extremely beneficial at various stages of the research process. This course will cover the major types including exploratory factor analysis, confirmatory factor analysis (CFA) and confirmatory bi-factor analysis.
The seminar uses Mplus and Amos software to demonstrate the implementation of factor analysis and is run by Dr Daniel Boduszek who has used different types of factor analysis in his research. The Quantitative Research Methods Training Unit (QRM-TU) will also invite Associate Members to lead the training.
The course is designed for researchers and postgraduate students who are engaged in research using large data sets. The prerequisite for taking this seminar is basic knowledge of regression analysis. Researchers from economics, public health, epidemiology, psychology, sociology, social work, medical research, education, and similar disciplines are welcome.
The Quantitative Research Methods Training Unit (QRM-TU), Ramsden Building, University of Huddersfield.
To find out when the next training session will be held, please visit our online store where you can also book your place.