Difficulty in implementing continuous improvement – Rasch measurement analysis

Implementing continuous improvement using genetic algorithms

Purpose – On the metaphoric level, much as been written about complex adaptive systems (CAS) for implementing total quality management (TQM) and organizational learning (OL) in turbulent or unpredictable environments. The aim of this paper is to add practical insights on how a specific CAS-technique called genetic algorithms (GA) can be used for designing quality management systems for keeping ...

Implementing Performance Measurement to support Continuous Improvement An empirical case study in construction industry

Many-Facet Rasch Measurement

This chapter provides an introductory overview of many-facet Rasch measurement (MFRM). Broadly speaking, MFRM refers to a class of measurement models that extend the basic Rasch model by incorporating more variables (or facets) than the two that are typically included in a test (i.e., examinees and items), such as raters, scoring criteria, and tasks. Throughout the chapter, a sample of rating d...

A difficulty in implementing correlated equilibrium distributions

Article history: Received 5 February 2007 Available online 28 November 2008 JEL classification: C72

Introduction to Many-Facet Rasch Measurement - Preamble