Shiny apps

Visualizing the Co-Development of Word and Nonword Reading in Children from First Through Fourth Grade   Designed to visualize models of co-development between word and nonword reading in paper using vector plots in which the start of the arrow represents estimated 1st grade ability and the end of the arrow represents estimated 4th grade ability.

Screening Screeners   Designed to allow to obtain all the classification criteria to evaluate a screener based on correlation between screen and outcome and cutpoints on each based on paper. This allows for cut-points to be input as z-scores, percentile ranks, or standard scores. After users input the correlation and cut-points, the correct classification, true positive, true negative, false positive, false negative, sensitivity, specificity, positive predictive power, negative predictive power, kappa, and chance-corrected affected status agreement are reported in a table. This app also allows for the calculation of positive and negative predictive power based on inputted base rate, sensitivity, and specificity.

Word Growth Across Exposures   Designed to allow for interactive exploration of word reading growth across exposures to that word using data in paper

Magnocellular Pathway and Reading   Designed to allow for data exploration and model summaries to accompany paper

Bigram frequency and probabolistic occurrences   Designed to search for bigram frequencies of letter pairs. This app allows you to search for bigram frequencies by narrowing the results to those that start with, end with, or contain a given letter. The table outputs bigram, frequency, percent of total, and the conditional probability of the second letter given the first letter.