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  1. May 1, 2023 · Introduction. High-Fidelity Simulation (HFS) is a misunderstood term. Too often, HFS is mistakenly used to refer to a particular simulation modality, namely, the full-body, high-complexity patient simulator.

    • Jeanne M. Carey, Kelly Rossler
    • 2023/05/01
    • 2021
  2. This chapter discusses the importance of fidelity for D&I research, proposes a framework for considering factors that influence fidelity, and describes strategies for producing high fidelity in interventions.

  3. Feb 24, 2016 · We devised a method for critiquing the construct validity of our intervention’s essential elements and modifying how they were articulated and measured, while simultaneously using them as fidelity indicators.

    • Abby Haynes, Sue Brennan, Sally Redman, Anna Williamson, Gisselle Gallego, Gisselle Gallego, Phyllis...
    • 2015
  4. Jul 8, 2016 · Fidelity is the degree to which an intervention is implemented as intended by its developers. It is meant to ensure that the intervention maintains its intended effects. Adaptation is the process of implementers or users bringing changes to the original design of an intervention.

    • Dennis Pérez, Patrick Van der Stuyft, Patrick Van der Stuyft, María del Carmen Zabala, Marta Castro,...
    • 2015
  5. Nov 23, 2017 · The purpose of this chapter is to discuss the importance of fidelity for D & I research, to propose a framework for considering factors that influence fidelity (including issues regarding adaptation), and to describe strategies for producing high fidelity in interventions.

  6. This Research Methods essay describes a framework for measuring fidelity of implementation of evidence-based instructional practices in discipline-based education research and provides general guidelines, as well as a specific example using peer instruction, for how this framework should be employed to characterize the impact of evidence-based i...

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  8. Nov 15, 2021 · High-fidelity models embrace the complexity in the system, capture critical contextual factors affecting proximal and distal prevention outcomes, and are aligned with the local context by integrating field data (Vermeer et al., 2020).

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