title: Taxonomic validation: an overview.
abstract: A valid taxonomy legitimizes the elements that make up the taxonomy and increases trust in its generalizability and predictability. There is a concern that the NANDA Taxonomy is not a valid taxonomic structure. Despite on-going work to validate individual nursing diagnoses, there is little research that focuses on validation of groups of diagnoses (taxons) within the NANDA taxonomy. This last article in a series of four will familiarize the readers with why, what, and how a taxonomy of nursing diagnoses can be validated. This article highlights assessment of the validity and reliability of a taxonomy, compares the process of taxonomic validation to the research process, and explores examples of validation design.
authors.forename: M
authors.initials: M
authors.lastname: Kerr
authors.forename: L M
authors.initials: LM
authors.lastname: Hoskins
authors.forename: J J
authors.initials: JJ
authors.lastname: Fitzpatrick
authors.forename: J J
authors.initials: JJ
authors.lastname: Warren
authors.forename: K C
authors.initials: KC
authors.lastname: Avant
authors.forename: M
authors.initials: M
authors.lastname: Hurley
authors.forename: M
authors.initials: M
authors.lastname: Lunney
authors.forename: W C
authors.initials: WC
authors.lastname: Mills
authors.forename: B C
authors.initials: BC
authors.lastname: Rottkamp
mesh_terms: D016000:Cluster Analysis; D016002:Discriminant Analysis; D005163:Factor Analysis, Statistical; D006801:Humans; D016294:Models, Nursing; D009733:Nursing Diagnosis / Q000145:classification / Q000592:standards*; D015399:Nursing Research / Q000379:methods; D015203:Reproducibility of Results