Tagged "BSO"

Sample size estimation in Item Response Theory Although Item Response Theory (IRT) models offer well-established psychometric advantages over traditional scoring methods, they remain underutilized in practice. One reason for this is the challenge meeting the (presumably) larger sample size requirements, especially in complex measurement designs. Accurate a priori sample size estimation is essential for obtaining accurate estimates of item/person parameters, effects, and model fit. As such, it serves as an essential tool for effective study planning, especially in pre-registration and registered reports.

“Bees are amazing, little creatures” (Richardson, 2017) – I agree. Bees have fascinated people since time immemorial, and yet even today there are still novel and fascinating discoveries (see the PLOS collection for some mind-boggling facts). Although bees as an insect species might seem as the prime example of state-building insects, highly social forms of community are the exception among bees. The large majority of all bee species are solitary bees or cuckoo bees that do not form insect states.