Dynamic rasterstereography improves the detection of movement delays and dynamic asymmetries in the scapulothoracic kinematic of healthy subjects.

Purpose: Assessing scapulothoracic kinematics typically involves visually observing patients during movement, which has limited inter- and intraobserver reliability. Dynamic rasterstereography (DRS) records, measures and visualizes surface structures in real time, using a curvature map to colour-code convex, concave and saddle-shaped structures on the body surface. This study aimed to evaluate the diagnostic efficacy of DRS-assisted observation in identifying dyskinetic scapulothoracic patterns.

Measures of Agreement with Multiple Raters: Fréchet Variances and Inference.

Most measures of agreement are chance-corrected. They differ in three dimensions: their definition of chance agreement, their choice of disagreement function, and how they handle multiple raters. Chance agreement is usually defined in a pairwise manner, following either Cohen's kappa or Fleiss's kappa.

Measuring Agreement Using Guessing Models and Knowledge Coefficients.

Several measures of agreement, such as the Perreault-Leigh coefficient, the [Formula: see text], and the recent coefficient of van Oest, are based on explicit models of how judges make their ratings. To handle such measures of agreement under a common umbrella, we propose a class of models called guessing models, which contains most models of how judges make their ratings. Every guessing model have an associated measure of agreement we call the knowledge coefficient.

Partial Identification of Latent Correlations with Ordinal Data.

The polychoric correlation is a popular measure of association for ordinal data. It estimates a latent correlation, i.e.

Modelling publication bias and p-hacking.

Publication bias and p-hacking are two well-known phenomena that strongly affect the scientific literature and cause severe problems in meta-analyses. Due to these phenomena, the assumptions of meta-analyses are seriously violated and the results of the studies cannot be trusted. While publication bias is very often captured well by the weighting function selection model, p-hacking is much harder to model and no definitive solution has been found yet.

Partial Identification of Latent Correlations with Binary Data.

The tetrachoric correlation is a popular measure of association for binary data and estimates the correlation of an underlying normal latent vector. However, when the underlying vector is not normal, the tetrachoric correlation will be different from the underlying correlation. Since assuming underlying normality is often done on pragmatic and not substantial grounds, the estimated tetrachoric correlation may therefore be quite different from the true underlying correlation that is modeled in structural equation modeling.