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      A Systematic Review of Research on High-Immersion Virtual Reality for Language Learning

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      TechTrends
      Springer Science and Business Media LLC

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          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

          Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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            A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda

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              How sample size influences research outcomes

              Sample size calculation is part of the early stages of conducting an epidemiological, clinical or lab study. In preparing a scientific paper, there are ethical and methodological indications for its use. Two investigations conducted with the same methodology and achieving equivalent results, but different only in terms of sample size, may point the researcher in different directions when it comes to making clinical decisions. Therefore, ideally, samples should not be small and, contrary to what one might think, should not be excessive. The aim of this paper is to discuss in clinical language the main implications of the sample size when interpreting a study.
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                Author and article information

                Journal
                TechTrends
                TechTrends
                Springer Science and Business Media LLC
                8756-3894
                1559-7075
                April 18 2022
                Article
                10.1007/s11528-022-00717-w
                5a584912-e31c-4d03-863d-f0c2187e5571
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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