Reliability generalization (RG) is a meta‐analytic approach that aims to characterize how
reliability estimates from the same test vary across different applications of the instrument …

The present study was conducted to characterize (a) the features of the thousands of primary
reports synthesized in 47 reliability generalization (RG) measurement meta-analysis studies …

Precursors of the reliability generalization (RG) meta‐analytic approach have not
established a single preferred analytic method. By means of five real RG examples, we …

Background Because meta‐analyses are increasingly prevalent and cited in the medical
literature, it is important that tools are available to assess their methodological quality. When …

The conventional fixed-effects (FE) and random-effects (RE) confidence intervals that are
used to assess the average alpha reliability across multiple studies have serious limitations …

Background Meta-analyses play an important role in cumulative science by combining
information across multiple studies and attempting to provide effect size estimates corrected …

We present the R package and web app statcheck to automatically detect statistical
reporting inconsistencies in primary studies and meta‐analyses. Previous research has …

Systematic reviews and meta‐analyses pool data from individual studies to generate a
higher level of evidence to be evaluated by guidelines. These reviews ultimately guide …

Generalizability theory is a modern, powerful, and broad framework used to assess the
reliability, or dependability, of measurements. While there exist classic works that explain the …

Background Systematic reviews and meta-analyses of test accuracy studies are increasingly
being recognised as central in guiding clinical practice. However, there is currently no …