Executive Development Programme in Research Methodology Fundamentals for Health
-- ViewingNowThe Executive Development Programme in Research Methodology Fundamentals for Health is a certificate course designed to empower healthcare professionals with essential research skills. This programme emphasizes the importance of evidence-based practice, enabling learners to critically analyze research studies and apply findings to real-world healthcare scenarios.
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์ด ๊ณผ์ ์ ๋ํด
100% ์จ๋ผ์ธ
์ด๋์๋ ํ์ต
๊ณต์ ๊ฐ๋ฅํ ์ธ์ฆ์
LinkedIn ํ๋กํ์ ์ถ๊ฐ
์๋ฃ๊น์ง 2๊ฐ์
์ฃผ 2-3์๊ฐ
์ธ์ ๋ ์์
๋๊ธฐ ๊ธฐ๊ฐ ์์
๊ณผ์ ์ธ๋ถ์ฌํญ
โข Research Methodologies: Introduction to different research methodologies and their applications in health research. Understanding the importance of selecting the appropriate methodology for various research questions.
โข Quantitative Research: Understanding the principles and techniques of quantitative research, including survey design, sampling methods, and statistical analysis.
โข Qualitative Research: Exploring the principles and techniques of qualitative research, including interviewing, focus groups, and content analysis.
โข Mixed Methods Research: Understanding the principles and techniques of mixed methods research, including the integration of qualitative and quantitative approaches.
โข Data Analysis: Introduction to data analysis techniques, including statistical analysis and qualitative data coding.
โข Research Ethics: Understanding the ethical considerations involved in health research, including informed consent, confidentiality, and data protection.
โข Research Proposal Development: Learning the process of developing a research proposal, including defining the research question, selecting the appropriate methodology, and writing the proposal.
โข Scientific Writing: Understanding the principles of scientific writing, including the structure of research papers, writing style, and the use of language.
โข Critical Appraisal: Learning the skills required to critically appraise research papers and evaluate their quality and relevance to the field.
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๊ณผ์ ์ ๋ณด ๋ฐ๊ธฐ
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