Leveraging Measurement System Analysis (MSA) to Improve Library Assessment: The Attribute Gage R&R | Zendy

Sarah Anne Murphy | Zendy; Sherry Engle Moeller | Zendy; Jessica Page | Zendy; Judith Cerqua | Zendy; Mark Boarman | Zendy

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Leveraging 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

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.

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