An R package and web-app for administering the Computer Adaptive Philadelphia Naming Test (PNT-CAT).
PNT-CAT Technical documentation
This application allows clinician users to administer adaptive (PNT-CAT) and static versions of the Philadelphia Naming Test (Roach et al., 1996 and generate output that provides scores on a common T-score metric, where the expected mean and standard deviation of persons with aphasia are 50 and 10, respectively. Users have the option of downloading performance data and a pdf-report of the results. Please note that the app does not store any data beyond a single user-session.
Comments, feedback, and bug reports are encouraged. Please submit as an issue: https://github.com/rbcavanaugh/pnt/issues.
To cite in publications use:
Cavanaugh, R., Swiderski, A.M., Fergadiotis, G. & Hula, W.D. (2020). pnt: Computer adaptive forms of the Philadelphia Naming Test. Version 0.1.1 Available from https://github.com/rbcavanaugh/pnt.
For users looking for a deeper dive into principles of item-response theory and computer adaptive testing in aphasia, we recommend:
The development of this testing application was funded by National Institute on Deafness and Other Communication Disorders Awards R03DC014556 (PI: Fergadiotis) and R01DC018813 (MPIs: Fergadiotis & Hula), VA Rehabilitation Research & Development Career Development Award C7476W (PI: Hula), and the VA Pittsburgh Healthcare System Geriatric Research, Education, and Clinical Center. We would also like to acknowledge the support and assistance of Myrna Schwartz, Dan Mirman, Adelyn Brecher, Erica Middleton, Patrick Doyle, Malcolm McNeil, Christine Matthews, Angela Grzybowski, Brooke Swoyer, Maria Fenner, Michelle Gravier, Alyssa Autenreith, Emily Boss, Haley Dresang, Lauren Weerts, Hattie Olson, Kasey Graue, Chia-Ming Lei, Joann Silkes, Diane Kendall, the staff of the VA Pittsburgh Healthcare System Audiology and Speech Pathology Program.
There are a number of ways to use the application (see below). However,
please note that server resources are finite, and therefore we ask
that researchers use option 2 for the following reasons: (1) The
version of the app remains consistent throughout the research study
(option 1, 3, and 4 may change based on any updates to the app), (2)
There is an inactive time-out limitation on the free online version of
the app to keep server costs reasonable, which means that a long break
(>15 minutes) without activity may cause you to lose your current
session. (3) Both the free online version and shiny::runGithub()
function require a stable internet connection and data will be lost if
an internet connection is lost.
Detailed installation instructions can be found here: https://github.com/rbcavanaugh/pnt/wiki
The app is now online at https://william-hula.shinyapps.io/pnt-cat/
The app can be installed locally via remotes::install_github()
The app can be installed and run from RStudio Cloud (https://rstudio.cloud/) if R/Rstudio can’t be installed locally.
The app can also be accessed via shiny::runGitHub()
If desired, the repository can be cloned, and run locally.
git clone https://github.com/rbcavanaugh/pnt.git
A helpful resource for this step is here: https://happygitwithr.com/