Public service organizations usually produce multiple outputs, measured on different scales, giving rise to a suite of performance indicators. The traditional approach to statistical analysis of organizational performance has been to develop a separate regression model for each performance indicator. This piecemeal approach, the article argues, may discard valuable information, as it ignores po...

OBJECTIVE To investigate practical and methodological problems in assessing the quality of care of multiple conditions in general practice. SETTING Sixteen general practices from two socioeconomically diverse regions in the UK. METHOD Quality of care was assessed in 100 randomly selected patient records in each practice using an established set of quality indicators covering 23 conditions c...

We report here the use of multiple indicators for a single analyte for paper-based microfluidic devices (microPAD) in an effort to improve the ability to visually discriminate between analyte concentrations. In existing microPADs, a single dye system is used for the measurement of a single analyte. In our approach, devices are designed to simultaneously quantify analytes using multiple indicato...

Many fields face an increasing prevalence of multi-authorship, and this poses challenges in assessing citation metrics. Here, we explore multiple citation indicators that address total impact (number of citations, Hirsch H index [H]), co-authorship adjustment (Schreiber Hm index [Hm]), and author order (total citations to papers as single; single or first; or single, first, or last author). We ...

Ranking a set of measurements, or ranking a set of model outputs, is a generic task for decision support. In the case of multiple indicators, a composite index is often defined. However, as Patil and Taillie (2004) point out, “every such composite involves judgements (often arbitrary or controversial) about tradeoffs or substitutability among indicators.” These concerns are addressed by the con...