I understand you do market research but maybe you could help over this (same principle). I want to conduct a simple descriptive assessment on the healthcare behaviors of patients in a specific department of a public sector health facility (specifically I would like to know for eg if the patients come to this facility for 2nd opinion, if this facility is their first choice, why do they choose it, would they go to a private facility if they could afford it etc.). I am struggling a bit with: 1)sample size (as I am not sure which size of the population should I choose (is it the average number of patients admitted to this department by day, or by week ,or by month??), 2)the period over which I should be conducting the study (should I choose one day per week and question all patients coming into the department during that day say for a month, or 2; or maybe 2 days a week on a period of 1 month etc.)
Hope you would be able to help!
In basic terms, "Statistical Power" is the likelihood of achieving a statistically significant result if your research hypothesis is actually true. In other words, if the null hypothesis is false, what is the probability that your "sample" will produce statistically significant results at the p < level of significance? If the likelihood is good (., at least 80% chance), for an acceptable "effect size", then your sample size would be considered adequate (. statistically powerful).
Micro finance is often described as financial assistance to low income individuals who have limited or no access to formal target people who are below the national average income line. The term ‘micro’ is used here because the amount of financial assistance that is granted to the poor is in a small amount – small loan.. This helps it differentiate from formal banks which disburse loan in big quantities mostly to the already rich people. Because of the recent global recession, governments in many developing countries’ are encouraging micro financing as it is believed that it is the most effective method to reduce poverty while empowering individuals. Today there are more than 160 million people in developing countries who are being served by micro financing institutions.