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Michelle M. Haby; Jorge Otávio Maia Barreto; Jenny Yeon Hee Kim; Sasha Peiris; Cristián Mansilla; Marcela Torres; Diego Emmanuel Guerrero-Magaña; Ludovic Reveiz – Research Synthesis Methods, 2024
Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review.…
Descriptors: Decision Making, Medical Research, Research Reports, Search Strategies
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Korevaar, Daniël A.; Salameh, Jean-Paul; Vali, Yasaman; Cohen, Jérémie F.; McInnes, Matthew D. F.; Spijker, René; Bossuyt, Patrick M. – Research Synthesis Methods, 2020
Introduction: Many diagnostic accuracy studies are never reported in full in a peer-reviewed journal. Searching for unpublished studies may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help to reduce research waste. We assessed searching practices among recent systematic reviews of diagnostic…
Descriptors: Clinical Diagnosis, Accuracy, Research Reports, Bibliographic Databases
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Doll, Christopher M. – Public Services Quarterly, 2021
This study sought to (1) Determine how international students conduct research. (2) Determine whether international students conduct research in the way they perceive that they do. (3) Determine whether international students are efficient in conducting research. This study collected data from 67 international students who attend the University of…
Descriptors: College Students, Foreign Students, Student Research, Library Research
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Stansfield, Claire; O'Mara-Eves, Alison; Thomas, James – Research Synthesis Methods, 2017
Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term…
Descriptors: Information Retrieval, Information Technology, Search Strategies, Literature Reviews
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Langlois, Alexis; Nie, Jian-Yun; Thomas, James; Hong, Quan Nha; Pluye, Pierre – Research Synthesis Methods, 2018
Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…
Descriptors: Mixed Methods Research, Databases, Information Retrieval, Search Strategies
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Dahlen, Sarah P. C.; Hanson, Kathlene – College & Research Libraries, 2017
Discovery layers provide a simplified interface for searching library resources. Libraries with limited finances make decisions about retaining indexing and abstracting databases when similar information is available in discovery layers. These decisions should be informed by student success at finding quality information as well as satisfaction…
Descriptors: Preferences, Bibliographies, Indexes, Database Management Systems
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Hamzeh, Joshua; Kaur, Navdeep; Bush, Paula; Hudon, Catherine; Schuster, Tibor; Vedel, Isabelle; Hong, Quan Nha; Pluye, Pierre – Education for Information, 2019
The questionnaires' origin (sources from which elements of the questionnaire are derived) and initial development (process of making a questionnaire from elements) should be assessed before their measurement properties. There is no Critical Appraisal Tool (CAT) that comprehensively assesses the origin and initial development of questionnaires…
Descriptors: Questionnaires, Information Services, Users (Information), Academic Libraries
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Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
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Wiersma, Gabrielle; Tovstiadi, Esta – portal: Libraries and the Academy, 2017
This article presents the results of a study of academic e-books that compared the metadata and search results from major academic e-book platforms. The authors collected data and performed a series of test searches designed to produce the same result regardless of platform. Testing, however, revealed metadata-related errors and significant…
Descriptors: Metadata, Search Strategies, Electronic Publishing, Accuracy