Wonderful-Wednesdays

Repository to hold the data and materials for the Wonderful Wednesday webinar series https://www.psiweb.org/sigs-special-interest-groups/visualisation/welcome-to-wonderful-wednesdays

View the Project on GitHub VIS-SIG/Wonderful-Wednesdays

PSI Wonderful Wednesday- Psychometric example dataset

Psychometric Overview

Patient Reported Outcomes (PROs) are often used within clinical trials. Prior to use as an endpoint, it is important to establish measurement properties of the instrument in the population of interest.

This is conducted on blinded data, with no knowledge of the treatment allocation of each patient. Instead, anchor measures are used and compared to the score that is being evaluated. These anchor measures are usually simple questions that are designed to link conceptually to the overall target of evaluation or can be previously validated measures that assess similar concepts.

Simulated Disease Questionnaire

The dataset includes item level data for a 12 item (question) Simulated Disease Questionnaire (SDQ-12) at four different timepoints and for 2000 patients. Each item is scored on a 0-3 scale (0 representing worst possible health state/most severe symptoms, 3 representing best possible health state and no symptoms), and a sum score is also calculated by adding all item responses. Each of the 12 items has been simulated to represent a distinct symptom:

The anchor measures included in the dataset are as follows:

To produce visualisation to aid in the psychometric evaluation of the SDQ-12 using the provided anchor measures (PGIC, Fatigue PRO, Flu PRO). Some ideas for general analyses are provided below, but submissions could include one of these suggestions, all of these, or explore a different aspect of the SDQ-12 measurement properties completely.

Ideas

Visualisations could explore the validity of the SDQ-12 (i.e. Is the SDQ-12 measuring the right thing):

The dataset

The dataset is in wide format, with one row per patient, and includes the following variables:

Location

The data can be found here.