Open AccessLeveraging Measurement System Analysis (MSA) to Improve Library Assessment: The Attribute Gage R&R
Author(s) -
Sarah Anne Murphy,
Sherry Engle Moeller,
Jessica Page,
Judith Cerqua,
Mark Boarman
Publication year - 2009
Publication title -
college and research libraries/college and research libraries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.886
H-Index - 52
eISSN - 2150-6701
pISSN - 0010-0870
DOI - 10.5860/0700568
Subject(s) - computer science , suite , measure (data warehouse) , quality (philosophy) , ideal (ethics) , quality assessment , data mining , information retrieval , evaluation methods , reliability engineering , engineering , history , philosophy , archaeology , epistemology
Measurement System Analysis (MSA) provides decision makers with a useful suite of tools for understanding whether variation should be attributed to an assessment system itself or the actual item or program being assessed. This paper introduces the Attribute Gage R&R, using a study of The Ohio State University Libraries’ mechanism for measuring quality in e-mail reference transactions as an example. An ideal tool for examining assessment programs that require subjective interpretation, the Attribute Gage R&R can assist library organizations in understanding their processes and validating the utility of data collected through their measurement systems.