We know that the task demands of cognitive tests most scores: if one version of a problem requires more work (e.g., gratuitously verbose or unclear wording, open response rather than multiple choice), people will perform worse.
Reference: https://journals.sagepub.com/doi/10.1177/0146621613487794
Exploratory factor analyses remain a widely used tool in my research area. Most commercial software is really not great at it, and #Rstats may be too steep a learning curve (although I think one rarely regrets it 😅 ).
Curiosity1: goal-directed information seeking — e.g., following a string of citations to find the source of a particular claim.
Curiosity2: exploratory information seeking — e.g., watching whatever explainer video is recommended next, even if it’s about a different question or topic.
The birdplace seems to stagnate, so I'm jumping ship. A short #introduction to me: I'm an associate professor of psychology in 🇳🇴 and work on personality psychology and psychometrics. Really just as an excuse to nerd out about R.
@hdkarlsen Welcome. If you follow @feditips and @FediFollows you'll get lots of advice on the Fediverse. Also if you put lots of hashtags for your interests in your intro post you'll get more followers too. #Psychology#Psychometrics
#psychometrics community: I found a paper that developed a short scale and tested it via #LPA and #kmeans clustering. (Paper here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281021). Now for me, this is odd as it uses two clustering techniques to assess scale quality. But then again this is a sociology paper and I know that sociologists and psychologists have a different world view. In case you didn't know: Sociologists tend to look at groups within society or societies at large, whereas psychologists tend to see individuals and groups as aggregates of individuals. Obviously, coming from a sociological perspective, using such clustering methods makes sense. However, I still have mixed feelings about this approach. I still feel a IRT approach would be better since obviously k-means and LPA does NOTHING to evaluate items, for example.