Dear Colleagues,
We are excited to announce the next video in the *HRP Statistics Portal’s Statistics Series*. This new video delves into the topic of *hypothesis testing in research*.
*A hypothesis enables researchers to define and test their assumptions*, laying the groundwork for drawing meaningful conclusions about a phenomenon. Hypothesis testing, based on careful observation or experimentation, is vital for establishing statistical and scientific significance. Knowing which type of hypothesis to use to answer a specific research question is fundamental.
*Using real-world examples from HRP research studies, the video below highlights the key elements of hypothesis testing and showcases different types of hypotheses:*
https://youtu.be/pafCY3hH6gg?si=M2Hz-pc9qbqjBtRE
*The first video in the statistics series, describing how to craft a compelling research question, can be found at this link:*
https://youtu.be/5jSrkRuPQus?si=5UZJq2rZRQf3IOab
*Also, check out the complete HRP Statistics Portal Series YouTube playlist here:*
https://youtube.com/playlist?list=PLDTgGyYD5cYBZ-heuD9_4ZPgDUoSgxR-R&si=...
*Please feel free to share the above videos with others who might benefit from their content*.
To learn more about statistics and data management in the context of sexual and reproductive health research, please visit the HRP Statistics Portal <https://worldhealthorg.sharepoint.com/sites/HRPStatisticsPortal>.
To request access to the HRP Statistics Portal, or submit any questions/feedback you may have, please send an e-mail to
hrpstatsportal@who.int
*Additionally, to stay informed about new or updated content on the portal, be sure to click the "Follow" button on the Home page*.
With thanks on behalf of the *HRP Statistics Portal Working Group*.
HIFA profile: Bancy Ngatia is a Research Assistant at the London School of Hygiene and Tropical Medicine. Her professional interests include quantitative and qualitative data analysis, data quality, increasing research impact, communication of research, implementation science, maternal and child health, mental health, scientific writing and publishing. Her current research is aimed at developing standardised guidance and tools for evaluating child growth, particularly for preterm and term infants. A biostatistician by training, she has worked with both observational and clinical trial data sets and collaborated with researchers in multiple projects and countries. She also possesses both project management and stakeholder engagement experience. bngatia.aku AT gmail.com
