Trying the model out on the motivating empirical data and made a huge difference, changing the sign and conclusion about the intervention effect (2nd and 3rd row in the image, left vs. right column).

/3

New paper on dealing with MNAR intensive longitudinal data. Ran into this problem in an empirical study and didn't find too much in the methods literature on MNAR ILD, so this was the best I could come up with. Lots of opportunity to improve methods in this area!

psycnet.apa.org/record/2025-...

Result is a plot that looks like this -- the conditional reliability at each score (the colored line; color indicates how many people are at that scores) is plotted against the alpha/omega summary index (black line)

/4

Shiny input looks like this -- upload the data, identify the scale items, the desired coefficient, and choose a method from which to calculate the "reliability representativeness" (different methods discussed in the paper)

/3

New paper w/ Roy Levy

These 2 path diagrams are conceptually different (regression with a latent predictor that has 3 indicators vs. a factor model with 4 indicators) but they are mathematically equivalent.

journals.sagepub.com/doi/10.3102/...

/1

Most papers comparing clustered data methods use biostat/econ language, so I tried to write one using psyc/ed language that covers the origin of the independence assumption, how each method handles ind. violations, and types of questions best-suited for each method

psycnet.apa.org/record/2024-...