Introduction to Factor Analysis
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
06.2025
Typ der Arbeit
Studiengang
Typ
06 - Präsentation
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
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Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Basel
Auflage
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Zusammenfassung
Factor analysis is a multivariate statistical method wherein we strive to uncover a structure or patterns in the associations between variables (e.g., items of a questionnaire) and represent them more parsimoniously with a smaller set of underlying latent variables, called factors. These factors are thought to constitute unobservable, internal attributes, that influence or cause the way observable, i.e., mani-fest behavior is expressed. For example, intelligence is thought to constitute such an attribute: If a person’s intelligence is high, this should allow them to response correctly to hard questions in intelligence tests and be fast at learning about complex new topics.
Factor analysis is used to describe and test (hypothesized) structures and patterns in data. For in-stance, in personality psychology, we might look at data from a big five questionnaire and test whether we actually do find five distinct factors, as proposed by the theory; or in an instrument assessing ADHD, we can test whether we can identify distinct factors for the main symptoms and whether they match with the empirically distinguished subtypes; or, finally, in a questionnaire assessing risk preferences across different life domains, we can test whether we find a stronger clustering of items within vs. across domains. Factor analysis is also the basis for structural equation modelling, wherein we can run regressions (i.e., test directed associations) between latent constructs instead of running a regression based on manifest variables.
In this workshop we cover the basics of exploratory and confirmatory factor analysis including their application in R. Moreover, I provide a sneak peek into structural equation modelling. My goal is that after the workshop you will know which technique to employ in a given scenario; that you can take the first steps of implementing it in R; and that you know where to look for further resources and details to be able to successfully apply factor analysis in your research. To this end, I will include many examples and exercises alongside the theoretical introduction.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
Workshop Introduction to Factor Analysis for the Graduate School of Psychology, University of Basel
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
05.06.2025
Enddatum der Konferenz
06.06.2025
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Keine Begutachtung
Open Access-Status
Lizenz
Zitation
Steiner, M. D. W. (2025, June). Introduction to Factor Analysis. Workshop Introduction to Factor Analysis for the Graduate School of Psychology, University of Basel. https://irf.fhnw.ch/handle/11654/53716