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Data System-Embedded Guidance Significantly Improves Data Analyses: When Data Is Made ‘Over-the-Counter' for Users

Data System-Embedded Guidance Significantly Improves Data Analyses: When Data Is Made ‘Over-the-Counter' for Users
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Author(s): Jenny Grant Rankin (Northcentral University, USA)
Copyright: 2016
Pages: 27
Source title: Handbook of Research on Innovations in Information Retrieval, Analysis, and Management
Source Author(s)/Editor(s): Jorge Tiago Martins (The University of Sheffield, UK)and Andreea Molnar (University of Portsmouth, UK)
DOI: 10.4018/978-1-4666-8833-9.ch005

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Abstract

In the field of Education, computerized data systems are used to manage, retrieve, and analyze information. Educators view this information in the form of data reports, which educators use to inform decisions that impact students. These decisions are frequently undermined by misunderstandings concerning the data and its implications. Yet data systems and their reports typically display data without any guidance concerning the data's proper analysis. In a quantitative study, medicine labeling conventions were applied to data systems to embed guidance in the proper use of contents. Among 211 educators of varied backgrounds and roles, data analyses were found to be 307% more accurate when a report label/footer was present, 205% more accurate when a 1-page reference sheet was present, and 273% more accurate when a reference guide was present. Findings hold implications for those who provide or use tools for high-stakes information retrieval, analysis, and/or management, particularly in Education.

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