Presentation from AERA 2019 with Karen Nylund-Gibson and Michael Furlong
Using self-report survey items administered to 1,908 high school students, it is shown via latent class analysis with distal outcomes that a researcher would likely come to the same conclusions whether using a one item measure of life satisfaction or several items traditionally used to measure subjective well-being (SWB). This research emphasizes the difficulties of being able to make between-person measurement claims in the realm of self-report surveys, in general.
In June 2018, I gave a one day “tidyverse
and data wrangling in R” workshop at UCSB’s MethodsU. The slides and materials are linked below. .