New Ways of Specifying Data Edits

• DOI: 10.1046/j.1467-985x.2003.00745.x
• Publication Date: 2004-12-28T19:31:19Z
• Authors: George Petrakos; Claudio Conversano; Gregory Farmakis; Francesco Mola; Roberta Siciliano; Photis Stavropoulos
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 0101 mathematics; 01 natural sciences

Summary Data editing is the process by which data that are collected in some way (a statistical survey for example) examined errors and corrected with help of software. Edits, logical conditions should be satisfied data, specified subject-matter experts a procedure could tedious lead to mistakes practical implications. To render edit specification more efficient we provide new step—the definition so-called abstract model survey—which describes structure phenomenon studied survey. The existence this enables identify all combinations variables checked edits avoid conflicting edits. Furthermore, introduce an automatic validation strategy—TREEVAL—that consists fast tree growing derive automatically functional form criterion clean incoming data. TREEVAL strategy cast within total quality management framework. application methodologies proposed demonstrated real life application.