rbcavanaugh / pnt

Beta-version of R Shiny implementation of the computer-adaptive Philadelphia naming test (Roach et al., 1996) following item response theory.
https://william-hula.shinyapps.io/pnt-cat/
GNU General Public License v3.0
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update results plot #5

Closed rbcavanaugh closed 3 years ago

rbcavanaugh commented 3 years ago

Results plot needs a few updates.

  1. Question about whether it should be based on a normal distribution
  1. If we continue to show as is, distribution should reflect sample from study
rbcavanaugh commented 3 years ago

there is another, related issue here - how can we show an estimate for the distributions for each ability estimate? The fullDist function in catR doesn't seem to want to work. can we run a quick model using rstanarm? or should we just show a normal distribution where the distribution is Normal(ability_estimate, 1.96*SEM)?

gfergadiotis commented 3 years ago

I think Will should chime in, but I think that the ~N(θ, 1.96*SEM|θ) should work just fine.

william-hula commented 3 years ago

Yeah, if we're talking about the posterior distribution of an individual score estimate, I think the normal distribution is just fine. But if we're talking about plotting the current examinee's point estimate or posterior distribution in relation to the calibration sample, that's another matter, because as I commented in the other thread about scaling, the scores do not seem to be normally distributed in relatively large samples. What if you had an actual histogram of the score estimates from the calibration sample with the point estimate and 95%CI superimposed or printed beneath. You could display the CI as simple error bars, or, as i think you're suggesting, a normal density.

gfergadiotis commented 3 years ago

I agree with Will.

rbcavanaugh commented 3 years ago

Doable - send me a .csv with a vector of all the calibrated sample estimates

rbcavanaugh commented 3 years ago

waiting on t-score scaled theta estimates.

william-hula commented 3 years ago

thetas_Tscaled_MAPPDn296_R03n39_2021_10_04.csv Here you go. This is for the 335-person sample. I hope to able to update this file and the item parameters with the additional PSU/UW cases that will bring it north of 350.

rbcavanaugh commented 3 years ago

perfect thanks. I'll use this to generate a histogram behind the estimate on teh results page. thanks!

rbcavanaugh commented 3 years ago

uploaded.