Data Collection and Analysis in Midwifery Research
Get started on your path of improving maternity outcomes through health research and design.
Drawing on La Trobe’s rich research expertise, this short course is targeted at midwives and maternal and child health nurses and who would like to gain increased understanding of research and evidence.
|Date/s||Open for enrolments at anytime|
|Duration||12 weeks from time of registration (earliest commencement is October 2021)|
|Prerequisite/s||Current registration with Australian Health Practitioner Regulation Agency (AHPRA) as a Health Professional.|
|Certification||Certificate of Attendance for 10 hours of Continuing Professional Development (CPD)|
|Fee/s||$380.00 + GST|
This 10-hour online program is designed for midwives and maternal and child health nurses who are keen to explore research in a midwifery context. Through this course, you'll develop an understanding of the key features of data collection methods and data analysis used in qualitative and quantitative research.
You'll learn to apply the appropriate research design and methods to specific clinical and social issues related to maternity care and practice. You'll also gain an understanding of some of the key ethical considerations to ensure that research is safe, respectful and high quality.
You'll cover the foundations of evidence-based research and the principles of data collection that underpin evidence based practice. You'll be able to justify the choice of different research designs and data collection methods and how this impacts the relevance of research surrounding a clinical question.
- Steps involved in developing a research proposal
- Ethical issues inherent in midwifery research
Data Collection Methods
- Key features of qualitative and quantitative data analysis
- Basic principles of data interpretation
- Broadband internet access and an active email address that can be accessed at home during study periods.
- Learners must have basic computer literacy skills (e.g. Word or other word processing software).
T: 1300 135 045