E-Book, Englisch, 368 Seiten, eBook
Nestel / Hui / Kunkler Healthcare Simulation Research
1. Auflage 2019
ISBN: 978-3-030-26837-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Practical Guide
E-Book, Englisch, 368 Seiten, eBook
ISBN: 978-3-030-26837-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Section I. Introduction to Healthcare Simulation Research .- Ch 1: Developing expertise in healthcare simulation research.- Ch 2: A contemporary history of healthcare simulation research.- Ch 3: Programs of research in healthcare simulation.- Ch 4: Starting your research project: from problem to theory to question.- Ch 5: Overview of serious gaming and virtual reality.- Ch 6: Overview of computational modeling and simulation.- Section II. Finding and Making Use of Existing Literature.- Ch 7: Seeking, reviewing and reporting on healthcare simulation research.- Ch 8: Systematic and nonsystematic reviews: choosing an approach.- Section III. Qualitative Approaches in Healthcare Simulation Research.- Ch 9: Introduction to qualitative research in healthcare simulation.- Ch 10: Key concepts in qualitative research design.- Ch 11: Refining your qualitative approach in healthcare simulation research.- Ch 12: In-depth interviews.- Ch 13: Focus groups in healthcare simulation research.- Ch 14: Observational methods in simulation research .- Ch 15: Visual methods in simulation-based research.- Ch 16: Survey and other textual data.- Ch 17: Transcription and data management.- Ch 18: Grounded theory methodology: key principles.- Ch 19: Analyzing data: approaches to thematic analysis.- Ch 20: Naturally occurring data: conversation, discourse, and hermeneutic analysis.- Section IV. Quantitative Approaches in Healthcare Simulation Research.- Ch 21: Quantitative research in healthcare simulation - an introduction and discussion of common pitfalls.- Ch 22: Research and hypothesis testing - moving from theory to experiment.- Ch 23: Designing quantitative research studies.- Ch 24: Outcome measures and data.- Ch 25: Designing, choosing, and using assessment tools in healthcare simulation research.- Ch 26: Reliability and validity.- Ch 27: Statistical analysis: getting to insight through collaboration and critical thinking.- Ch 28: Nonparametric tests used in simulation research.- Ch 29: Contemporary analysis of simulation-based research data: P values, statistical power, and effect size.- Ch 30: Advanced statistical analyses.- Section V. Mixed Methods and Data Integration.- Ch 31: Applying mixed methods research to healthcare simulation.- Ch 32: Making use of diverse data sources in healthcare simulation research.- Section VI. Professional Practices in Healthcare Simulation Research.- Ch 33: Writing a research proposal for sponsorship or funding.- Ch 34: Writing an ethics application.- 35: Strategies in developing a simulation research proposal.- Ch 36: Identifying and applying for funding.- Ch 37: Anatomy of a successful grant proposal.- Ch 38: Establishing and maintaining multicenter studies in healthcare simulation research.- Ch 39: Supervision in healthcare simulation research: creating rich experiences.- Ch 40: Project management in healthcare simulation research.- Ch 41: Disseminating healthcare simulation research.- Ch 42: Writing for publication.- Ch 43: Peer review for publications: a guide for reviewers .- Section VII. Getting Started in Healthcare Simulation Research: Tips and Case Studies .- Ch 44: Unpacking the social dimensions of research - how to get started in healthcare simulation research.- Ch 45: Case Study 1: Joining the research conversation: the romance and reality.- Ch 46: Case Study 2: Discovering qualitative research.- Ch 47: Case Study 3: Application of quantitative methodology.- Ch 48: Case Study 4: Navigating the peer review process in healthcare simulation: a doctoral student's perspective.